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Relevant bibliographies by topics / Optical sensing and motion control

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Academic literature on the topic 'Optical sensing and motion control'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "Optical sensing and motion control"

1

Lin, P. D., and K. F. Ehmann. "Sensing of Motion Related Errors in Multiaxis Machines." Journal of Dynamic Systems, Measurement, and Control 118, no. 3 (September 1, 1996): 425–33. http://dx.doi.org/10.1115/1.2801162.

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The aim of this paper is the formulation of the principles for the development of optical measurement systems for the measurement of motion related errors in multiaxis machines. Basic system configurations for rotary and prismatic joints are discussed, and their governing linearized equations derived in explicit analytical form.

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Lu, Dasheng, Francisco Gámez, and Patricia Haro-González. "Temperature Effects on Optical Trapping Stability." Micromachines 12, no. 8 (August 12, 2021): 954. http://dx.doi.org/10.3390/mi12080954.

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In recent years, optically trapped luminescent particles have emerged as a reliable probe for contactless thermal sensing because of the dependence of their luminescence on environmental conditions. Although the temperature effect in the optical trapping stability has not always been the object of study, the optical trapping of micro/nanoparticles above room temperature is hindered by disturbances caused by temperature increments of even a few degrees in the Brownian motion that may lead to the release of the particle from the trap. In this report, we summarize recent experimental results on thermal sensing experiments in which micro/nanoparticles are used as probes with the aim of providing the contemporary state of the art about temperature effects in the stability of potential trapping processes.

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Wang, Xia, Qi Zhu, Mengzhu Hu, Wenqiang Li, Xingfan Chen, Nan Li, Xunmin Zhu, and Huizhu Hu. "Analysis and Suppression of Laser Intensity Fluctuation in a Dual-Beam Optical Levitation System." Micromachines 13, no. 7 (June 22, 2022): 984. http://dx.doi.org/10.3390/mi13070984.

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Levitated micro-resonators in vacuums have attracted widespread attention due to their application potential in precision force sensing, acceleration sensing, mass measurement and gravitational wave sensing. The optically levitated microsphere in a counter-propagating dual-beam optical trap has been of particular interest because of its large measurement range and flexible manipulation. In this system, laser intensity fluctuation directly influences the trap stability and measurement sensitivity, which makes it a crucial factor in improving trapping performance. In this paper, a time-varying optical force (TVOF) model is established to characterize the influence of laser intensity fluctuation in a dual-beam optical trap. The model describes the relationship between the laser intensity fluctuation, optical force and the dynamic motion of the micro-sized sphere. In addition, an external laser intensity control method is proposed, which achieved a 16.9 dB laser power stability control at the relaxation oscillation frequency. The long-term laser intensity fluctuation was suppressed from 3% to 0.4% in a one-hour period. Experiments showed that the particle’s position detection sensitivity and the stability of the relaxation oscillation could be improved by laser intensity fluctuation suppression.

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Delić, Uroš, Manuel Reisenbauer, Kahan Dare, David Grass, Vladan Vuletić, Nikolai Kiesel, and Markus Aspelmeyer. "Cooling of a levitated nanoparticle to the motional quantum ground state." Science 367, no. 6480 (January 30, 2020): 892–95. http://dx.doi.org/10.1126/science.aba3993.

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Quantum control of complex objects in the regime of large size and mass provides opportunities for sensing applications and tests of fundamental physics. The realization of such extreme quantum states of matter remains a major challenge. We demonstrate a quantum interface that combines optical trapping of solids with cavity-mediated light-matter interaction. Precise control over the frequency and position of the trap laser with respect to the optical cavity allowed us to laser-cool an optically trapped nanoparticle into its quantum ground state of motion from room temperature. The particle comprises 108 atoms, similar to current Bose-Einstein condensates, with the density of a solid object. Our cooling technique, in combination with optical trap manipulation, may enable otherwise unachievable superposition states involving large masses.

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Khawaja, Fahad Iqbal, Akira Kanazawa, Jun Kinugawa, and Kazuhiro Kosuge. "A Human-Following Motion Planning and Control Scheme for Collaborative Robots Based on Human Motion Prediction." Sensors 21, no. 24 (December 9, 2021): 8229. http://dx.doi.org/10.3390/s21248229.

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Human–Robot Interaction (HRI) for collaborative robots has become an active research topic recently. Collaborative robots assist human workers in their tasks and improve their efficiency. However, the worker should also feel safe and comfortable while interacting with the robot. In this paper, we propose a human-following motion planning and control scheme for a collaborative robot which supplies the necessary parts and tools to a worker in an assembly process in a factory. In our proposed scheme, a 3-D sensing system is employed to measure the skeletal data of the worker. At each sampling time of the sensing system, an optimal delivery position is estimated using the real-time worker data. At the same time, the future positions of the worker are predicted as probabilistic distributions. A Model Predictive Control (MPC)-based trajectory planner is used to calculate a robot trajectory that supplies the required parts and tools to the worker and follows the predicted future positions of the worker. We have installed our proposed scheme in a collaborative robot system with a 2-DOF planar manipulator. Experimental results show that the proposed scheme enables the robot to provide anytime assistance to a worker who is moving around in the workspace while ensuring the safety and comfort of the worker.

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Popescu, Mihaela, Dennis Mronga, Ivan Bergonzani, Shivesh Kumar, and Frank Kirchner. "Experimental Investigations into Using Motion Capture State Feedback for Real-Time Control of a Humanoid Robot." Sensors 22, no. 24 (December 15, 2022): 9853. http://dx.doi.org/10.3390/s22249853.

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Regardless of recent advances, humanoid robots still face significant difficulties in performing locomotion tasks. Among the key challenges that must be addressed to achieve robust bipedal locomotion are dynamically consistent motion planning, feedback control, and state estimation of such complex systems. In this paper, we investigate the use of an external motion capture system to provide state feedback to an online whole-body controller. We present experimental results with the humanoid robot RH5 performing two different whole-body motions: squatting with both feet in contact with the ground and balancing on one leg. We compare the execution of these motions using state feedback from (i) an external motion tracking system and (ii) an internal state estimator based on inertial measurement unit (IMU), forward kinematics, and contact sensing. It is shown that state-of-the-art motion capture systems can be successfully used in the high-frequency feedback control loop of humanoid robots, providing an alternative in cases where state estimation is not reliable.

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Wang Chong, 王翀, 尤政 You Zheng, 邢飞 Xing Fei, and 张高飞 Zhang Gaofei. "Image Motion Velocity Field for Wide View Remote Sensing Camera and Detectors Exposure Integration Control." Acta Optica Sinica 33, no. 5 (2013): 0511002. http://dx.doi.org/10.3788/aos201333.0511002.

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Jensen-McMullin, Cynthia, Henry P. Lee, and Edward R. Lyons. "Demonstration of trapping, motion control, sensing and fluorescence detection of polystyrene beads in a multi-fiber optical trap." Optics Express 13, no. 7 (2005): 2634. http://dx.doi.org/10.1364/opex.13.002634.

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Gorchakov, S. Yu. "Synthesis of program angular motions of the Earth remote sensing spacecraft with high spatial resolution." Russian Technological Journal 9, no. 3 (June 28, 2021): 78–87. http://dx.doi.org/10.32362/2500-316x-2021-9-3-78-87.

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The article considers a spacecraft for remote sensing of the Earth with high-resolution or ultra-high-resolution optical-electronic equipment. During the shooting process, the recorded image constantly moves through the photodetector matrix at a non-constant and/or excessive velocity, which is not suitable for this photodetector. The purpose of the article is to synthesize a method for the control of the orientation and stabilization of the remote sensing spacecraft, which will provide a strictly specified velocity of the image motion on the photodetector. It is proposed to find such a law of motion (functional dependences of the angular rate of the remote sensing spacecraft on time), which will allow, when applied in the control loop, to compensate for the image motion velocities that are unsuitable for this photodetector. The method used consists in time differentiation of the fundamental equation of space photogrammetry in the guiding cosines, as well as in differentiation of the matrix of guiding cosines. This provides a transition between the guiding cosines in the space of images and the space of objects. The result obtained in the article is the derived equation of space photogrammetry in kinematic form, as well as the functional dependences of angular rate on time. In the present article, a mathematical model of scanning images of the Earth’s landscapes with the help of remote sensing spacecraft is compiled. The obtained functional dependences can be applied in the development of on-board algorithms for controlling the orientation and stabilization of the remote sensing spacecraft. When implementing orientation and stabilization control in the on-board computer based on the obtained functional dependencies, a strictly specified speed of image movement in the focal plane of the on-board shooting equipment can be provided, and, consequently, the quality of the scanned image is improved by improving the function of transmitting the modulation of the kinematic “smudge” (blurring) of the image.

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Raghunathareddy, M. V., G. Indumathi, and K. R. Niranjan. "Highly sensitive optical MEMS based photonic biosensor for colon tissue detection." AIMS Electronics and Electrical Engineering 6, no. 3 (2022): 285–95. http://dx.doi.org/10.3934/electreng.2022017.

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<abstract> <p>Biological component of cells, protein has been effectively studied and investigated using biological sensors. Photonic crystal-based sensor is highly sensitive optical nanostructure it can be manipulated to affect the motion of photon for users' application. In the proposed work microcavity based photonic crystal biosensor has been designed and investigated for its different optical sensing evaluation parameters such as transmission efficiency, sensitivity, Q factor and peak resonant wavelengths. Sensor is designed and analyzed for early detection of colon cancer tissues in blood. Radius of defect micropillar has been increased from 0.16 µm to 0.19 µm. High Quality factor 10232 has been achieved with the micro pillar radius of 0.17 µm and sensitivity 700nm/RIU. Similarly, radius of 0.16 µm, 0.18 µm and 0.19 µm has attained quality factor and sensitivity such as 5324, 7232, 8343 and 111 nm/RIU, 320 nm/RIU and 340 nm/RIU respectively. Compared other work in literature, proposed work has shown better sensing capability. Designed sensor has shown remarkable output and feasibility for future fabrication.</p> </abstract>

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Dissertations / Theses on the topic "Optical sensing and motion control"

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Long, Fei. "Three-Dimensional Motion Control and Dynamic Force Sensing of a Magnetically Propelled Micro Particle Using a Hexapole Magnetic Actuator." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1452093964.

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Li, Li Wang Fei-Yue. "Advanced motion control and sensing for intelligent vehicles." New York : Springer, 2007. http://www.myilibrary.com?id=113830.

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Lin, Likun. "SDN-Enabled Dynamic Feedback Control and Sensing in Agile Optical Networks." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/613595.

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Fiber optic networks are no longer just pipelines for transporting data in the long haul backbone. Exponential growth in traffic in metro-regional areas has pushed higher capacity fiber toward the edge of the network, and highly dynamic patterns of heterogeneous traffic have emerged that are often bursty, severely stressing the historical "fat and dumb pipe" static optical network, which would need to be massively over-provisioned to deal with these loads. What is required is a more intelligent network with a span of control over the optical as well as electrical transport mechanisms which enables handling of service requests in a fast and efficient way that guarantees quality of service (QoS) while optimizing capacity efficiency. An "agile" optical network is a reconfigurable optical network comprised of high speed intelligent control system fed by real-time in situ network sensing. It provides fast response in the control and switching of optical signals in response to changing traffic demands and network conditions. This agile control of optical signals is enabled by pushing switching decisions downward in the network stack to the physical layer. Implementing such agility is challenging due to the response dynamics and interactions of signals in the physical layer. Control schemes must deal with issues such as dynamic power equalization, EDFA transients and cascaded noise effects, impairments due to self-phase modulation and dispersion, and channel-to-channel cross talk. If these issues are not properly predicted and mitigated, attempts at dynamic control can drive the optical network into an unstable state. In order to enable high speed actuation of signal modulators and switches, the network controller must be able to make decisions based on predictive models. In this thesis, we consider how to take advantage of Software Defined Networking (SDN) capabilities for network reconfiguration, combined with embedded models that access updates from deployed network monitoring sensors. In order to maintain signal quality while optimizing network resources, we find that it is essential to model and update estimates of the physical link impairments in real-time. In this thesis, we consider the key elements required to enable an agile optical network, with contributions as follows: *Control Framework: extended the SDN concept to include the optical transport network through extensions to the OpenFlow (OF) protocol. A unified SDN control plane is built to facilitate control and management capability across the electrical/packet-switched and optical/circuit-switched portions of the network seamlessly. The SDN control plane serves as a platform to abstract the resources of multilayer/multivendor networks. Through this platform, applications can dynamically request the network resources to meet their service requirements. *Use of In-situ Monitors: enabled real-time physical impairment sensing in the control plane using in-situ Optical Performance Monitoring (OPM) and bit error rate (BER) analyzers. OPM and BER values are used as quantitative indicators of the link status and are fed to the control plane through a high-speed data collection interface to form a closed-loop feedback system to enable adaptive resource allocation. *Predictive Network Model: used a network model embedded in the control layer to study the link status. The estimated results of network status is fed into the control decisions to precompute the network resources. The performance of the network model can be enhanced by the sensing results. *Real-Time Control Algorithms: investigated various dynamic resource allocation mechanisms supporting an agile optical network. Intelligent routing and wavelength switching for recovering from traffic impairments is achieved experimentally in the agile optical network within one second. A distance-adaptive spectrum allocation scheme to address transmission impairments caused by cascaded Wavelength Selective Switches (WSS) is proposed and evaluated for improving network spectral efficiency.

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Barsky, Michael Frederick. "Holographic sensing for control of flexible structures." Diss., This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-09162005-115002/.

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Frey, Bernhard F. "Differential optical motion and its functionality for the perception and control of heading." Thesis, University of Canterbury. Psychology, 1996. http://hdl.handle.net/10092/4514.

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The present program of investigation is concerned with the optical support for the perception and control of heading during constant-altitude approach to a stationary target. Of particular interest is the functional contribution of differential optical motion. The results of four experiments in which participants were given control over the direction of computer-simulated self-motion are reported. Results of Experiment 1 served to establish the potential performance range in terms of heading error. In addition, they provided a first indication of the functionality of motion parallax for the experimental task and demonstrated that target drift can be used for accurate approach. Results of Experiments 2 and 4 showed that successful target approach is not possible in the absence of both target drift and differential optical motion. Furthermore, they served to eliminate two alternative potentially functional types of information (rate of target expansion and apparent rotation of target), as well as provide a first indication of optimizing performance in the top end of the global optical flow velocity range commonly available during human bipedal self-motion. The latter result was replicated in Experiment 3. Experiments 3 and 4 were specifically designed to evaluate the functionality of simple motion parallax (SMP) and differential motion parallax (DMP). A separation ratio (σ) indexing the separation of two objects in depth was able to account for (a) performance improvements with decreasing distance to the target, and (b) most of the performance differences among all simulated environments. With the effect of σ accounted for, the addition of DMP information to events that already carried SMP information did not affect performance. The rate of change in horizontal optical separation between at least two discontinuities is identified as the most likely candidate for the optical foundation of the perception and control of heading during target approach. In conclusion, suggestions for the development of formal descriptions of this variable are made.

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Merrell, Paul Clark. "Structure from Motion Using Optical Flow Probability Distributions." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd764.pdf.

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Lewis, Jeremy. "A steady state tip control strategy for long reach robots." Thesis, Middlesex University, 1996. http://eprints.mdx.ac.uk/13569/.

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The work presented in this thesis describes the development of a novel strategy for the steady state tip position control of a single link flexible robot arm. Control is based upon a master/slave relationship. Arm trajectory is defined by through 'master' positioning head which moves a laser through a programmed path. Tip position is detected by an optical system which produces an error signal proportional to the displacement of the tip from the demand laser spot position. The error signal and its derivative form inputs to the arm 'slave' controller so enabling direct tip control with simultaneous correction for arm bending. Trajectory definition is not model-based as it is defined optically through movement of the positioning head alone. A critical investigation of vacuum tube and solid state sensing methods is undertaken leading to the development of a photodiode quadrant detector beam tracking system. The effect of varying the incident light parameters on the beam tracker performance are examined from which the optimum illumination characteristics are determined. Operational testing of the system on a dual-axis prototype robot using the purpose-built beam tracker has shown that successful steady state tip control can be achieved through a PD based slave controller. Errors of less than 0.05 mm and settling times of 0.2 s are obtained. These results compare favourably with those for the model-based tip position correction strategies where tracking errors of ± 0.6 mm are recorded.

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Zhou, Jia Qi. "Simplified Analysis of IMU Sensor Corruptions on Existing Pendulation Control System For Ship-Mounted Crane." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/36123.

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Ship-mounted boom cranes play an important role in the ship-to-ship offshore cargo transport process. In recent years, there has been significant need to increase stability of the payload during the cargo transport process for both safety and efficiency reasons. However, the stability of the payload during the transport process directly correlates to the ship's pitch and roll motion that in turn relates to the current particular sea-state. In this study, we analyze an existing Pendulation Control System (PCS) developed by Sandia National Laboratories that reduces the payload's pendulation movement during transport. This system measures the ship motion through a complex inertial navigation system using an IMU and dual GPS receivers. In trying to simplify the analysis of the IMU sensor, we simulate new control solutions based solely on an IMU-only ship motion measurement system using both position- and velocity-based controllers. This study shows that an optional bandpass filter in the new control solution can reject a bias that appears in the estimated accelerometer data at the expense of higher sensitivity for the control. This study also shows that the velocity-based solution provides comparable if not better results than the position-based solution. Both methods are sensitive to the difference between the ship motion period and the center frequency of its bandpass filter. Lastly, it is shown that the bias of an accelerometer is not a large source of payload disturbance as compared to the scale factor error.
Master of Science

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Mikov, Nikolay. "A distributive approach to tactile sensing for application to human movement." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/11608.

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This thesis investigates on clinical applicability of a novel sensing technology in the areas of postural steadiness and stroke assessment. The mechanically simple Distributive Tactile Sensing approach is applied to extract motion information from flexible surfaces to identify parameters and disorders of human movement in real time. The thesis reports on the design, implementation and testing of smart platform devices which are developed for discrimination applications through the use of linear and non-linear data interpretation techniques and neural networks for pattern recognition. In the thesis mathematical models of elastic plates, based on finite element and finite difference methods, are developed and described. The models are used to identify constructive parameters of sensing devices by investigating sensitivity and accuracy of Distributive Tactile Sensing surfaces. Two experimental devices have been constructed for the investigation. These are a sensing floor platform for standing applications and a sensing chair for sitting applications. Using a linear approach, the sensing floor platform is developed to detect centre of pressure, an important parameter widely used in the assessment of postural steadiness. It is demonstrated that the locus of centre of pressure can be determined with an average deviation of 1.05mm from that of a commercialised force platform in a balance application test conducted with five healthy volunteers. This amounts to 0.4% of the sensor range. The sensing chair used neural networks for pattern recognition, to identify the level of motor impairment in people with stroke through performing functional reaching task while sitting. The clinical studies with six real stroke survivors have shown the robustness of the sensing technique to deal with a range of possible motion in the reaching task investigated. The work of this thesis demonstrates that the novel Distributive Tactile Sensing approach is suited to clinical and home applications as screening and rehabilitation systems. Mechanical simplicity is a merit of the approach and has potential to lead to versatile low-cost units.

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Jain, Advait. "Mobile manipulation in unstructured environments with haptic sensing and compliant joints." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45788.

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We make two main contributions in this thesis. First, we present our approach to robot manipulation, which emphasizes the benefits of making contact with the world across all the surfaces of a manipulator with whole-arm tactile sensing and compliant actuation at the joints. In contrast, many current approaches to mobile manipulation assume most contact is a failure of the system, restrict contact to only occur at well modeled end effectors, and use stiff, precise control to avoid contact. We develop a controller that enables robots with whole-arm tactile sensing and compliant actuation at the joints to reach to locations in high clutter while regulating contact forces. We assume that low contact forces are benign and our controller does not place any penalty on contact forces below a threshold. Our controller only requires haptic sensing, handles multiple contacts across the surface of the manipulator, and does not need an explicit model of the environment prior to contact. It uses model predictive control with a time horizon of length one, and a linear quasi-static mechanical model that it constructs at each time step. We show that our controller enables both a real and simulated robots to reach goal locations in high clutter with low contact forces. While doing so, the robots bend, compress, slide, and pivot around objects. To enable experiments on real robots, we also developed an inexpensive, flexible, and stretchable tactile sensor and covered large surfaces of two robot arms with these sensors. With an informal experiment, we show that our controller and sensor have the potential to enable robots to manipulate in close proximity to, and in contact with humans while keeping the contact forces low. Second, we present an approach to give robots common sense about everyday forces in the form of probabilistic data-driven object-centric models of haptic interactions. These models can be shared by different robots for improved manipulation performance. We use pulling open doors, an important task for service robots, as an example to demonstrate our approach. Specifically, we capture and model the statistics of forces while pulling open doors and drawers. Using a portable custom force and motion capture system, we create a database of forces as human operators pull open doors and drawers in six homes and one office. We then build data-driven models of the expected forces while opening a mechanism, given knowledge of either its class (e.g, refrigerator) or the mechanism identity (e.g, a particular cabinet in Advait's kitchen). We demonstrate that these models can enable robots to detect anomalous conditions such as a locked door, or collisions between the door and the environment faster and with lower excess force applied to the door compared to methods that do not use a database of forces.

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Books on the topic "Optical sensing and motion control"

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Vernon, David. Optical non-contact sensing of eye motion. Dublin: Trinity College, Department of Computer Science, 1991.

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Janabi-Shariﬁ, Farrokh, and William Melek, eds. Advances in Motion Sensing and Control for Robotic Applications. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17369-2.

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Alexander, Breakwell John, Varadan V. K. 1943-, Society of Photo-optical Instrumentation Engineers., and CREOL (Research center), eds. Structures sensing and control: 2-3 April 1991, Orlando, Florida. Bellingham, Wash: SPIE, 1991.

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Zwart, Christine M., and David H. Frakes. Control Grid Motion Estimation for Efficient Application of Optical Flow. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-031-01520-5.

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Soares, O. D. D. Optical Metrology: Coherent and Incoherent Optics for Metrology, Sensing and Control in Science, Industry and Biomedicine. Dordrecht: Springer Netherlands, 1987.

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NATO Advanced Study Institute on Optical Metrology (1984 Viana do Castelo, Portugal). Optical metrology: Coherent and incoherent optics for metrology, sensing and control in science, industry, and biomedicine. Dordrecht: M. Nijhoff, 1987.

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Ljubo, Vlacic, Institution of Electrical Engineers, and Knovel (Firm), eds. Motion vision: Design of compact motion sensing solutions for autonomous systems navigation. London: Institution of Electrical Engineers, 2005.

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Ljubo, Vlacic, and Institution of Electrical Engineers, eds. Motion vision: Design of compact motion sensing solutions for autonomous systems navigation. London: Institution of Electrical Engineers, 2005.

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Balakrishnan, A. V. Application of optical distributed sensing and computation to control of large space structures: Final technical report on NASA grant, NAG 11-1074. [Washington, DC: National Aeronautics and Space Administration, 1992.

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Air & Waste Management Association. and Society of Photo-optical Instrumentation Engineers., eds. Proceedings of optical sensing for environmental and process monitoring: 7-10 November 1994, McLean, Virginia. Pittsburgh, Penn: Air & Waste Management Association, 1995.

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Book chapters on the topic "Optical sensing and motion control"

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Aguiar, A. Pedro, Florian A. Bayer, John Hauser, Andreas J. Häusler, Giuseppe Notarstefano, Antonio M. Pascoal, Alessandro Rucco, and Alessandro Saccon. "Constrained Optimal Motion Planning for Autonomous Vehicles Using PRONTO." In Sensing and Control for Autonomous Vehicles, 207–26. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55372-6_10.

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Zhu, Xiaorui, Youngshik Kim, Mark Andrew Minor, and Chunxin Qiu. "Cooperative Motion Control and Sensing Architecture." In Autonomous Mobile Robots in Unknown Outdoor Environments, 43–52. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2017. |: CRC Press, 2017. http://dx.doi.org/10.1201/9781315151496-3.

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Lehmann, Fritz-Olaf, Peter Schützner, and Hao Wang. "Visual motion sensing and flight path control in flies." In Frontiers in Sensing, 129–41. Vienna: Springer Vienna, 2012. http://dx.doi.org/10.1007/978-3-211-99749-9_9.

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Walas, Krzysztof. "Improving Accuracy of Local Maps with Active Haptic Sensing." In Robot Motion and Control 2011, 137–46. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2343-9_11.

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Fermín-León, Leonardo, Wilfredis Medina-Meléndez, Claudia Pérez-D’Arpino, and Juan C. Grieco. "Estimation of Velocity Components Using Optical Flow and Inner Product." In Robot Motion and Control 2009, 349–58. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-985-5_32.

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Nornes, Stein M., Asgeir J. Sørensen, and Martin Ludvigsen. "Motion Control of ROVs for Mapping of Steep Underwater Walls." In Sensing and Control for Autonomous Vehicles, 51–69. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55372-6_3.

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Hryshchuk, Ruslan, and Andriy Zavada. "Earth Remote Sensing Satellite Navigation Based on Optical Trajectory Measurements." In Recent Advances in Systems, Control and Information Technology, 504–11. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48923-0_54.

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Xiong, Rentian, and Martha A. Grover. "In Situ Optical Sensing and State Estimation for Control of Surface Processing." In Feedback Control of MEMS to Atoms, 45–67. New York, NY: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-5832-7_3.

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Hou, Biao, Xinhui Liu, and Bo Ren. "An Enhanced RSNET for Cloud Detection in Optical Remote Sensing Images." In Proceedings of 2022 10th China Conference on Command and Control, 908–16. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6052-9_81.

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Zwart, Christine M., and David H. Frakes. "Discussion and Conclusions." In Control Grid Motion Estimation for Efficient Application of Optical Flow, 67–69. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-031-01520-5_5.

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Conference papers on the topic "Optical sensing and motion control"

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Bigley, William J., and Steven P. Tsao. "Optimal Motion Stabilization Control Of An Electro-Optical Sight System." In SPIE 1989 Technical Symposium on Aerospace Sensing, edited by Sankaran Gowrinathan. SPIE, 1989. http://dx.doi.org/10.1117/12.977974.

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Song Cheng, Guoqing Zhang, Wenbin Yu, Yan Shen, Yinan Zhao, Shenwang Li, and Zhizhong Guo. "Optimization design of sensing coil of all-fiber optical current transformer." In 2012 7th International Power Electronics and Motion Control Conference (IPEMC 2012). IEEE, 2012. http://dx.doi.org/10.1109/ipemc.2012.6259188.

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Huang, Cheng-Ming, and Ming-Hong Hung. "Target motion compensation with optical flow clustering during visual tracking." In 2014 IEEE 11th International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2014. http://dx.doi.org/10.1109/icnsc.2014.6819607.

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Foong, Shaohui, Xianmin Chen, and Kok-Meng Lee. "Optimized Distributed Field-Based Sensing for Control of Voice Coil Motor." In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-5999.

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A magnetic field-based sensing system utilizing statistically optimized concurrent multi-sensor outputs for non-contact precise field-position association is presented. The rationale and principle of capitalizing on simultaneous spatial field measurements to induce unique correspondence between field and position to achieve accurate translational motion over large travel distances for feedback control is illustrated using a single-source-multi-sensor configuration. Principal component analysis (PCA) is used as a pseudo filter to optimally reduce the dimension of the multi-sensor output space for field-position mapping with artificial neural networks (ANNs). The effects of PCA on the sensing accuracy and closed-loop tracking performance are experimentally investigated using a voice-coil motor and a 9 sensor network with an optical encoder as a comparison.

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Nagasaka, Yuto, Yasuhiro Takaya, and Terutake Hayashi. "Circular motion control of an optically trapped microprobe for nano-position sensing." In NanoScience + Engineering, edited by Kishan Dholakia and Gabriel C. Spalding. SPIE, 2007. http://dx.doi.org/10.1117/12.734471.

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Ryan, Allison D., Hugh Durrant-Whyte, and J. Karl Hedrick. "Information-Theoretic Sensor Motion Control for Distributed Estimation." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43791.

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Estimate uncertainty is a clear metric for sensing problems, but is not traditionally used for optimal control of mobile sensors because it is difficult to model how it is affected by sensor motion. This work develops a multiple-step receding horizon cost for sensor motion control based on minimization of expected entropy of the estimate distribution. The structure of the cost function is analyzed and used to upper bound the degree of coupling between sensors. The contribution is a multiple step prediction of the estimate entropy incorporating probabilistic sensor and target motion models and a decomposition for its decentralized calculation. Multiple-step receding horizon control has the potential to provide better performance than single-step optimization in the cases of delayed payoff or sensor motion constraints, and has not generally been implemented for non-Gaussian models. An example is developed based on a team of unmanned air vehicles carrying vision sensors, and initial simulation results confirm the accuracy of the predictive cost calculation.

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Sambasivan, R. "Polychromatic Holographic Correlation Techniques for Enhancing Resolution in Remote Sensing Applications." In Laser and Optical Remote Sensing: Instrumentation and Techniques. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/lors.1987.tuc24.

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In optical remote sensing by photo-reconnaissance satellites or in ground-observation by orbiting space telescopes, the diffraction-limited theoretical resolution possible, is degraded by accidental & vibratory motion of the imaging camera, defocussing, atmospheric turbulence effects on satellite-pictures transmitted, etc. For instance, an orbiting space telescope (height, h ′ = 275 km above earth) with an effective focal length, f = 57.6m and equipped with a CCD camera with pixel, d = 15 microns, has a theoretical resolution: R = ( h ′ d / f ) → = 7.16 cm ( ! ) on ground; however, in practice due to image-degradation, the feasible resolution is of 10-15m only(which can be improved with rigid satellite attitude-control, to 1-2m).

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Campanini, Federico, Riccardo Bianchi, Andrea Vacca, and Paolo Casoli. "Optimized Control for an Independent Metering Valve With Integrated Diagnostic Features." In ASME/BATH 2017 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/fpmc2017-4302.

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This paper presents an optimized control for independent metering hydraulic systems that integrates machine diagnostic features. The machine under study is a hydraulic crane for truck applications equipped with a post compensated Load Sensing Pressure Compensated (LSPC) independent metering valve. Control challenges of such hydraulic system pertain to the determination of the opening of the meter-out section under overrunning load conditions. In this work, the inlet actuator pressure was used as feedback for a PI control architecture. The gains of the PI regulator were defined through an Extremum Seeking (ES) optimization algorithm, which minimizes cost functions representative of energy consumption and occurrence of cavitation, to achieve optimal performance in different operating conditions. The control was tested on a simulation model of the reference machine developed in AMESim and validated against experimental results. The paper shows that the same cost functions used to define the controller parameters can be used as additional inputs, along with conventional sensors, to monitor the health status of the machine.

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Siefert, Jacob, and Perry Y. Li. "Optimal Control and Energy-Saving Analysis of Common Pressure Rail Architectures: HHEA and STEAM." In BATH/ASME 2020 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/fpmc2020-2799.

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Abstract In recent years several novel hydraulic architectures have been proposed with the intention of significantly increasing system efficiency. Two of these architectures, Steigerung der Energieefflzienz in der Arbeitshydraulik mobiler Arbeitsmaschinen (STEAM), and the Hybrid Hydraulic-Electric Architecture (HHEA), use a system of multiple common pressure rails (CPRs) to serve the multiple degrees-of-freedom of the machine. The key difference is that STEAM throttles hydraulic power from these rails while HHEA combines electric and hydraulic power to meet actuator demands. As a throttle-less architecture, HHEA is expected to save more energy than STEAM at the expense of added complexity. Therefore, it is useful to quantify this additional energy saving. Both systems have discrete operational choices corresponding to how the CPRs are utilized for each actuator. It is necessary to determine optimal operation for each of these architectures for analysis and fair comparison. Techniques for optimal operation of the HHEA have been developed previously from the Langrange multiplier method. Applying the same optimal control method to STEAM encountered some technical challenge leading to the optimal control algorithm not being able to satisfy certain constraints. The issue is analyzed and solved by adding noise to the optimization. Using this proposed algorithm, case studies are performed to compare the energy-saving potentials of STEAM and HHEA for two sizes of excavators and a wheel-loader performing representative duty cycles. The baseline is a standard load-sensing architecture. Results show that STEAM and HHEA can reduce energy consumption between 35–65% and 50–80% respectively.

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Sahai, Ranjana. "Direct Sensing of Wing Flapping and Rotation Parameters for a Hawkmoth-Sized Flapping Wing Micro Air Vehicle." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-67416.

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Many insights can still be gained from the flapping flight of nature’s flyers, particularly from how they can effortlessly transition between flight modes and maneuver in obstacle-strewn environments. Furthermore, they are able to do this without the typical control surfaces found in manmade vehicles. Many theories have been postulated on how this is accomplished and they often involve control of individual wing position and stroke velocity. As such, direct sensing of wing motion both in flapping and in rotation would be desirable. In this work, we look at implementing wing motion sensing through the use of optical sensors. We develop sensing designs for both the transmissive and reflective sensor types, present design reasoning, and discuss the advantages and disadvantages of their use. Finally, we employ the sensors on the wing of a flapping wing MAV capable of power autonomous flight and demonstrate successful sensor tracking of general wing motion.

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Reports on the topic "Optical sensing and motion control"

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Latombe, J. C., A. Lazanas, and S. Shekhar. Robot Motion Planning with Uncertainty in Control and Sensing. Fort Belvoir, VA: Defense Technical Information Center, November 1989. http://dx.doi.org/10.21236/ada323613.

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Xavier, P. G., R. G. Brown, and P. A. Watterberg. Coordinating robot motion, sensing, and control in plans. LDRD project final report. Office of Scientific and Technical Information (OSTI), August 1997. http://dx.doi.org/10.2172/527563.

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McInroy, John E., and Farhad Jafari. Detecting Motion from a Moving Platform; Phase 3: Unification of Control and Sensing for More Advanced Situational Awareness. Fort Belvoir, VA: Defense Technical Information Center, November 2011. http://dx.doi.org/10.21236/ada559399.

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