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Автор: Grafiati
Опубліковано: 30 травня 2022
Оновлено: 31 травня 2022

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Статті в журналах з теми "Trajectory of motion"

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Kuwahara, M., T. Sato, and Y. Yotsumoto. "Wriggling motion trajectory illusion." Journal of Vision 12, no. 12 (November 8, 2012): 4. http://dx.doi.org/10.1167/12.12.4.

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Yotsumoto, Y., M. Kuwahara, and T. Sato. "Wriggling Motion Trajectory Illusion." Journal of Vision 12, no. 9 (August 10, 2012): 1234. http://dx.doi.org/10.1167/12.9.1234.

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3

Beh, Jounghoon, David Han, and Hanseok Ko. "Rule-based trajectory segmentation for modeling hand motion trajectory." Pattern Recognition 47, no. 4 (April 2014): 1586–601. http://dx.doi.org/10.1016/j.patcog.2013.11.010.

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4

Lee, Eunsung, Eunjung Chae, Hejin Cheong, and Joonki Paik. "Fast Motion Deblurring Using Sensor-Aided Motion Trajectory Estimation." Scientific World Journal 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/649272.

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This paper presents an image deblurring algorithm to remove motion blur using analysis of motion trajectories and local statistics based on inertial sensors. The proposed method estimates a point-spread-function (PSF) of motion blur by accumulating reweighted projections of the trajectory. A motion blurred image is then adaptively restored using the estimated PSF and spatially varying activity map to reduce both restoration artifacts and noise amplification. Experimental results demonstrate that the proposed method outperforms existing PSF estimation-based motion deconvolution methods in the sense of both objective and subjective performance measures. The proposed algorithm can be employed in various imaging devices because of its efficient implementation without an iterative computational structure.
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5

Wu, Chi-haur, and Chi-cheng Jou. "Design of a Controlled Spatial Curve Trajectory for Robot Manipulations." Journal of Dynamic Systems, Measurement, and Control 113, no. 2 (June 1, 1991): 248–58. http://dx.doi.org/10.1115/1.2896372.

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For integrating different constraints from robot’s tasks, such as geometry, kinematics, and dynamics, with trajectory planning and robot motion control, a two-layer robot trajectory planning structure is proposed. The structure decomposes the trajectory planning problem into path geometry planning and motion speed planning. By separating speed planning from path geometry planning, two different problems can be solved. The first problem is to incorporate geometric changes of a robot task into both translational and orientational path plannings. By solving it, various spatial curve paths can be planned and the difficulty of predicting rotational motions in the Cartesian space can be removed. The second problem is to incorporate motion constraints into the trajectory planning, such as the constraint of maintaining a desired constant robot speed along any planned geometric path. Through the proposed structure, different robot motion requirements along various spatial curves can be controlled by different speed control functions. To demonstrate the proposed scheme, examples are given.
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6

Tremblay, Louis-Francis Y., Marc Arsenault, and Meysar Zeinali. "Development of a trajectory planning algorithm for a 4-DoF rockbreaker based on hydraulic flow rate limits." Transactions of the Canadian Society for Mechanical Engineering 44, no. 4 (December 1, 2020): 501–10. http://dx.doi.org/10.1139/tcsme-2019-0173.

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In this paper, a novel trajectory planning methodology is proposed for use within a semi-automated hydraulic rockbreaker system. The objective of the proposed method is to minimize the trajectory duration while hydraulic fluid flow rate limits are respected. Within the trajectory planning methodology, a point-to-point path planning approach based on the decoupling of the motion of the rockbreaker’s first joint is compared with an alternative approach based on Cartesian straight-line motion. Each of these path types is parameterized as a function of time based on an imposed trajectory profile that ensures smooth rockbreaker motions. A constrained nonlinear optimization problem is formulated and solved with the trajectory duration as the objective function while constraints are applied to ensure that flow rate limits through the rockbreaker’s proportional valves and hydraulic pump are not exceeded. The proposed methodology is successfully implemented to compute a set of representative trajectories, with the path planning approach based on the decoupling of the motion of the rockbreaker’s first joint consistently producing shorter trajectory durations.
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7

Kramer, Steven N., and Richard L. Curran. "Development of the Tri-Level Variable Rate Trajectory With Discretely Vanishing Shock for Optimum Design." Journal of Mechanisms, Transmissions, and Automation in Design 110, no. 1 (March 1, 1988): 88–92. http://dx.doi.org/10.1115/1.3258911.

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The tri-level variable rate trajectory is a general motion which can be applied to programmable controllers, robotic manipulators, mechanisms, and mechanical devices where the input crank orientation, velocity, and acceleration vary with time. In the work presented here, the tri-level variable rate trajectory is an extension of the variable-rate trans-symmetric motion developed by the first author in 1984. That motion and the one developed here consist of discrete segments of constant and linearly varying accelerations occurring over specified time intervals, thereby providing versatile programmable trajectories with several advantages over the constant acceleration motion, simple harmonic motion, cycloidal motion, and the popular polynomial trajectories used in robotics. The tri-level variable-rate trajectory allows much more control of the acceleration contour of the motion and as a result, there is a decrease in the power required, a decrease in the operating cost, and a decrease in dynamic responses such as shock, vibration, and shaking force and virtual elimination of the overshoot problem that sometimes accompanies the polynomial segment motions. This is a general method which can be applied to many applications. The results of applying this trajectory to a complex machine controller are presented as an example.
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Popov, I. P. "COMBINATION OF CIRCULAR MOTIONS IN MACHINES AND MECHANISMS." Frontier materials & technologies, no. 4 (2021): 48–56. http://dx.doi.org/10.18323/2782-4039-2021-4-48-56.

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In technical systems, including aviation and space technology, and in particular, in aircraft transmissions, bearings, orbital systems, helicopter mechanisms, and many others, the combined rotational movements are widespread, and when designing, it is important to understand the nature of joint motion. The paper aimed at the generalization of the principle of the combination of motions in circular movements. The author considered the x'0'y' coordinate system that rotates in the x0y coordinate system without angular acceleration with the velocity ω. The radius of rotation is equal to ρ1. Wherein 0x || 0'x', 0y || 0'y'. An object a rotates in the x'0'y' coordinate system without angular acceleration with the velocity ±ω. The radius of rotation is equal to ρ2. The study identified that at reverse rotations, the trajectory of joint motion represents an ellipse. The author determined all standard ellipse characteristics relating to the case under the study and identified the elliptical trajectory inclination. The study shows that if the joint motion trajectory is elliptical and the semi-axes are equal (ρ1+ρ2) and |ρ1−ρ2|, then an object a undergoes circular motion in the x'0'y' coordinate system without angular acceleration with the velocity −ω. Just as the result of the superposition of two non-accelerated straight movements is also non-accelerated, i.e. a uniform and rectilinear movement, at the one-way rotations, the joint motion trajectory represents a circle. At circular motions with multiple speeds, the joint motion trajectory represents a snail. The practical aspect of the study is determined by the fact that the resulting formulas can be directly used in the CAD system when performing design works.
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Putov, V., V. Sheludko, A. Putov, N. Thang, and M. Kopichev. "Manipulation Robots’ Trajectory Motion Adaptive Control." Procedia Computer Science 150 (2019): 279–86. http://dx.doi.org/10.1016/j.procs.2019.02.053.

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Barata, Catarina, Jacinto C. Nascimento, João M. Lemos, and Jorge S. Marques. "Sparse motion fields for trajectory prediction." Pattern Recognition 110 (February 2021): 107631. http://dx.doi.org/10.1016/j.patcog.2020.107631.

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Дисертації з теми "Trajectory of motion"

1

Mhawesh, Mustafa Azzam Naji. "Trajectory planning using higher order motion specifications." Thesis, California State University, Fullerton, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10243067.

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This thesis builds on a recently developed Failure Recovery Synthesis (FRS) technique for robotic manipulators, which is mounted on a movable platform to achieve an originally specified task after an arm joint failure. The FRS locks in place the failed arm joint and determines a new position for the base of the arm and a new grasping location for the end-effector.

This work aims towards improving the trajectory planning technique of the FRS in order to generate optimal reaching motions in case of an arm joint failure. Aiming towards improving the robotic trajectory planning technique in the FRS, the work adopts previous results from experimental observations on human elbow constrained reaching movements. The assumption that the end-effector of an elbow locked anthropomorphic robotic manipulator is in contact with a specific surface during the entire movement allows us to describe the contact conditions by using higher order kinematic constraints such as velocities, accelerations, and jerks. By adopting contact specifications at initial and final task locations, kinematic synthesis and path planning techniques enable us to generate an entire end-effector trajectory connecting the two locations.

The proposed method was validated by comparing its outcome to an actual human elbow-constrained reaching motion profile. The results show a smooth trajectory that closely follows the human hand path.

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2

Kinney, Justin P. "Jerk limited reference trajectory generation for motion control." Thesis, Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/16024.

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Burke, Sean E. "Reactive trajectory adjustment for motion execution using Chekhov." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91450.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
5
Cataloged from PDF version of thesis.
Includes bibliographical references (page 97).
Robots are becoming more and more prominent in the world of manufacturing for assembling products. Currently most of these robots, such as the ones used in automobile manufacturing have specific pre-programmed tasks and motions, and no sense of their surrounding environment. In many of today's applications, this method will not be sufficient, as many real world environments are unstructured and could cause disturbances to the robots requiring the motion and task plans to be modified. If a robot has a task to complete, a planner, such as Bidirectional RRT [5], will generate a motion plan to complete the task. If that motion plan becomes infeasible, because the goal has changed, or an obstacle has moved into the robot's path, the robot will need to make an adjustment. One method is to generate a new plan. This can be quite time-consuming, especially since the time is not proportional to the size of the change making re-planning excessive for small adjustments. The problem we would like to solve is adjusting to minor disturbances much faster than re-planning. Re-planning can often take a few seconds, where we would like to make adjusted plans in less than a second. In this thesis, we present a method for solving this problem. We use an incremental adjustment approach that can make minor adjustments in response to collisions or goal changes where the time taken to make adjustments is proportional to the extent of the changes made. To make the adjustments to the plan, we have developed a quadratic program that will make near-optimal adjustments to each robot joint pose in a robot's motion plan based on the goal region and a reaction vector. The goal region is the region the robot manipulator needs to be in to accomplish its task. The reaction vector is a vector that specifies the direction the robot would need to move in order to remove itself from a collision if there is a collision. Along with this quadratic program, we give a method for computing these reaction vectors. These two pieces are the major components of our algorithm and the key innovations made in this thesis. The algorithm allows the robot to make minor adjustments to its plan in an unstructured environment in about a quarter of a second. The adjustments are near optimal, in that they only deviate slightly from the original plan, and are made much faster than traditional planning algorithms. The overall goal is to build a complete robust execution system, and the reactive trajectory adjustment algorithm presented in this thesis is an important piece of the overall system.
by Sean E. Burke.
M. Eng.
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4

ADORF, JULIUS. "Motion Segmentation of RGB-D Videosvia Trajectory Clustering." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153943.

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Motion segmentation of RGB-D videos can be a first step towards object reconstruction in dynamic scenes. The objective in this thesis is to end an ecient motion segmentation method that can deal with a moving camera. To this end, we adopt a feature-based approach where keypoints in the images are tracked over time. The variation in the observed pairwise 3-d distances is used to determine which of the points move similarly. We then employ spectral clusteringto group trajectories into clusters with similar motion, thereby obtaining a sparse segmentation of the dynamic objectsin the scene. The results on twenty scenes from real world datasets and simulations show that while the method needs more sophistication to segment all of them, several dynamic scenes have been successfully segmented at a processing speed of multiple frames per second.
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Dai, Wei. "FPCA Based Human-like Trajectory Generating." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4811.

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This thesis presents a new human-like upper limb and hand motion generating method. The work is based on Functional Principal Component Analysis and Quadratic Programming. The human-like motion generating problem is formulated in a framework of minimizing the difference of the dynamic profile of the optimal trajectory and the known types of trajectory. Statistical analysis is applied to the pre-captured human motion records to work in a low dimensional space. A novel PCA FPCA hybrid motion recognition method is proposed. This method is implemented on human grasping data to demonstrate its advantage in human motion recognition. One human grasping hierarchy is also proposed during the study. The proposed method of generating human-like upper limb and hand motion explores the ability to learn the motion kernels from human demonstration. Issues in acquiring motion kernels are also discussed. The trajectory planning method applies different weight on the extracted motion kernels to approximate the kinematic constraints of the task. Multiple means of evaluation are implemented to illustrate the quality of the generated optimal human-like trajectory compared to the real human motion records.
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Basset, Gareth. "Virtual Motion Camouflage Based Nonlinear Constrained Optimal Trajectory Design Method." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5116.

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Nonlinear constrained optimal trajectory control is an important and fundamental area of research that continues to advance in numerous fields. Many attempts have been made to present new methods that can solve for optimal trajectories more efficiently or to improve the overall performance of existing techniques. This research presents a recently developed bio-inspired method called the Virtual Motion Camouflage (VMC) method that offers a means of quickly finding, within a defined but varying search space, the optimal trajectory that is equal or close to the optimal solution. The research starts with the polynomial-based VMC method, which works within a search space that is defined by a selected and fixed polynomial type virtual prey motion. Next will be presented a means of improving the solution's optimality by using a sequential based form of VMC, where the search space is adjusted by adjusting the polynomial prey trajectory after a solution is obtained. After the search space is adjusted, an optimization is performed in the new search space to find a solution closer to the global space optimal solution, and further adjustments are made as desired. Finally, a B-spline augmented VMC method is presented, in which a B-spline curve represents the prey motion and will allow the search space to be optimized together with the solution trajectory. It is shown that (1) the polynomial based VMC method will significantly reduce the overall problem dimension, which in practice will significantly reduce the computational cost associated with solving nonlinear constrained optimal trajectory problems; (2) the sequential VMC method will improve the solution optimality by sequentially refining certain parameters, such as the prey motion; and (3) the B-spline augmented VMC method will improve the solution optimality without sacrificing the CPU time much as compared with the polynomial based approach. Several simulation scenarios, including the Breakwell problem, the phantom track problem, the minimum-time mobile robot obstacle avoidance problem, and the Snell's river problem are simulated to demonstrate the capabilities of the various forms of the VMC algorithm. The capabilities of the B-spline augmented VMC method are also shown in a hardware demonstration using a mobile robot obstacle avoidance testbed.
ID: 031001346; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Adviser: .; Title from PDF title page (viewed April 18, 2013).; Thesis (Ph.D.)--University of Central Florida, 2012.; Includes bibliographical references (p. 110-116).
Ph.D.
Doctorate
Mechanical and Aerospace Engineering
Engineering and Computer Science
Mechanical Engineering
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Westerlund, Andreas. "Sensor-Based Trajectory Planning in Dynamic Environments." Thesis, Linköpings universitet, Reglerteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150040.

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Motion planning is central to the efficient operation and autonomy of robots in the industry. Generally, motion planning of industrial robots is treated in a two-step approach. First, a geometric path between the start and goal position is planned where the objective is to achieve as short path as possible together with avoiding obstacles. Alternatively, a pre-defined geometric path is provided by the end user. Second, the velocity profile along the geometric path is calculated accounting for system dynamics together with other constraints. This approach is computationally efficient, but yield sub-optimal solutions as the system dynamics is not considered in the first step when the geometric path is planned. In this thesis, an alternative to the two-step approach is investigated and a trajectory planner is designed and implemented which plans both the geometric path and the velocity profile simultaneously. The motion planning problem is formulated as an optimal control problem, which is solved by a direct collocation method where the trajectory is parametrised by splines, and the spline nodes and knots are used as optimization variables. The implemented trajectory planner is evaluated in simulations, where the planner is applied to a simple planar elbow robot and ABB's SCARA robot IRB 910SC. Trade-off between computation time and optimality is identified and the results indicate that the trajectory planner yields satisfactory solutions. On the other hand, the simulations indicate that it is not possible to apply the proposed method on a real robot in real-time applications without significant modifications in the implementation to decrease the computation time.
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Soto, E. R. "(Un)veiling bodies : a trajectory of Chilean post-dictatorship documentary." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/62042/.

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This thesis analyses Chilean documentary films and videos of the post-dictatorial era from the restoration of democracy in 1990 until 2011, focusing on the audiovisual treatment of contested memories of the dictatorship and its legacies. The main argument is that documentary performs a trajectory of a revelation of bodies, oscillating between – at times intersecting with – the bodies of 'direct victims' and the film's body itself. Such an itinerary is deeply intertwined with Chile's own democratic transition. The study aims to transcend Chilean documentary's self-evident testimonial value and restrictive readings of the films as works about trauma, as these eclectic artistic reactions to the military coup present a broad range of affective responses. It establishes connections and disjunctions between different generations of documentarians and heightens the visibility of a number of under-researched productions. To unpack these heterogeneous documentary responses and their aesthetic features, close textual analysis of selected sequences from an extensive corpus is performed. This thesis adopts an interdisciplinary approach informed by the 'haptic turn' in film studies, trauma and memory studies, cultural studies, history and gender. After examining the strategies deployed to reveal the past and its atrocious images, the study reassesses the cinematic homecomings of exilic directors as key precedents of the current rise of first person documentary. The ensuing evaluation of younger directors' productions indicates that whereas childhood memories are mobilised to explore the (im)possibilities of recalling a past only tangentially experienced, a nostalgic approach to the 1980s seeks to claim an active role in the redemocratisation process. Two recent cases featuring rather disturbing voices (of a former agent of repression and of Pinochet’s supporters) shed further light on the transformations experienced both by non-fiction and Chile itself. This thesis thus illustrates a documentary shift from articulating a 'cinema of the affected' to a 'cinema of affect'.
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Cakir, Rasit. "Fractional Brownian motion and dynamic approach to complexity." Thesis, University of North Texas, 2007. https://digital.library.unt.edu/ark:/67531/metadc3992/.

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The dynamic approach to fractional Brownian motion (FBM) establishes a link between non-Poisson renewal process with abrupt jumps resetting to zero the system's memory and correlated dynamic processes, whose individual trajectories keep a non-vanishing memory of their past time evolution. It is well known that the recrossing times of the origin by an ordinary 1D diffusion trajectory generates a distribution of time distances between two consecutive origin recrossing times with an inverse power law with index m=1.5. However, with theoretical and numerical arguments, it is proved that this is the special case of a more general condition, insofar as the recrossing times produced by the dynamic FBM generates process with m=2-H. Later, the model of ballistic deposition is studied, which is as a simple way to establish cooperation among the columns of a growing surface, to show that cooperation generates memory properties and, at same time, non-Poisson renewal events. Finally, the connection between trajectory and density memory is discussed, showing that the trajectory memory does not necessarily yields density memory, and density memory might be compatible with the existence of abrupt jumps resetting to zero the system's memory.
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Bhat, Aditya. "Locomotion Trajectory Generation For Legged Robots." Digital WPI, 2017. https://digitalcommons.wpi.edu/etd-theses/1167.

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This thesis addresses the problem of generating smooth and efficiently executable locomotion trajectories for legged robots under contact constraints. In addition, we want the trajectories to have the property that small changes in the foot position generate small changes in the joint target path. The first part of this thesis explores methods to select poses for a legged robot that maximises the workspace reachability while maintaining stability and contact constraints. It also explores methods to select configurations based on a reduced-dimensional search of the configuration space. The second part analyses time scaling strategy which tries to minimize the execution time while obeying the velocity and acceleration constraints. These two parts effectively result in smooth feasible trajectories for legged robots. Experiments on the RoboSimian robot demonstrate the effectiveness and scalability of the strategies described for walking and climbing on a rock climbing wall.
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Книги з теми "Trajectory of motion"

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Gibson, David Michael. Trajectory-based multi-frame motion estimation with applications to motion compensated prediction. Birmingham: University of Birmingham, 2001.

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2

Sinclair, Iain. Crash: David Cronenberg's post-mortem on J.G. Ballard's 'Trajectory of fate'. London: BFI Pub., 1999.

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Sinclair, Iain. Crash: David Cronenberg's post-mortem on J.G. Ballard's 'Trajectory of fate'. London: British Film Institute, 1999.

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4

Deterministic explanation of quantum mechanics: Based on a new trajectory-wave ordering interaction. St. Cloud, Minn: North Star Press of St. Cloud, 1994.

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5

Tobarah, Edward *. Point-to-point motion trajectory planning. 1988.

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6

Nolte, David D. Galileo’s Trajectory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805847.003.0003.

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This chapter describes the history of Galileo’s discovery of the law of fall and the parabolic trajectory, beginning with early work on the physics of motion by predecessors like the Oxford Scholars, Tartaglia and the polymath Simon Stevin who dropped lead weights from the leaning tower of Delft three years before Galileo dropped lead weights from the leaning tower of Pisa. The story of how Galileo developed his ideas of motion is described in the context of his studies of balls rolling on inclined plane and the surprising accuracy he achieved without access to modern timekeeping. Motion was always on Galileo’s mind. He saw motion in his father’s stringed instruments, vibrating in rational resonances. He saw motion in the lantern high above in the Duomo di Pisa, swinging with fixed regularity.
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Benhabib, Bensiyon. Kinematic analysis and optimal motion trajectory planning of redundant manipulators. 1985.

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8

Tabarah, Edward. Trajectory planning for the coordinated continuous-path motion of two-robot systems. 1993.

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9

United States. National Aeronautics and Space Administration., ed. Hybrid motion planning with multiple destinations: Annual technical report : reporting period 06/10/97 through 06/10/98. [Washington, DC: National Aeronautics and Space Administration, 1998.

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10

Owen, William Scott. On-line trajectory resolution for the coordinated motion of a two-armed robotic sculpting system. 2006.

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Частини книг з теми "Trajectory of motion"

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Ahn, Junghyun, Stéphane Gobron, Quentin Silvestre, Horesh Ben Shitrit, Mirko Raca, Julien Pettré, Daniel Thalmann, Pascal Fua, and Ronan Boulic. "Long Term Real Trajectory Reuse through Region Goal Satisfaction." In Motion in Games, 412–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25090-3_35.

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Vukobratović, Miomir, and Manja Kirćanski. "Kinematic Approach to Motion Generation." In Kinematics and Trajectory Synthesis of Manipulation Robots, 156–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-82195-0_4.

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Vukobratović, Miomir, and Manja Kirćanski. "Dynamic Approach to Motion Generation." In Kinematics and Trajectory Synthesis of Manipulation Robots, 172–213. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-82195-0_5.

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Vukobratović, Miomir, and Manja Kirćanski. "Motion Generation for Redundant Manipulators." In Kinematics and Trajectory Synthesis of Manipulation Robots, 214–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-82195-0_6.

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Yang, Hua, Greg Welch, Jan-Michael Frahm, and Marc Pollefeys. "3D Motion Segmentation Using Intensity Trajectory." In Computer Vision – ACCV 2009, 157–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12307-8_15.

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6

Khan, Muhammad Hassan, Frederic Li, Muhammad Shahid Farid, and Marcin Grzegorzek. "Gait Recognition Using Motion Trajectory Analysis." In Advances in Intelligent Systems and Computing, 73–82. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59162-9_8.

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7

Oreifej, Omar, and Mubarak Shah. "Action Recognition by Motion Trajectory Decomposition." In Robust Subspace Estimation Using Low-Rank Optimization, 55–67. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04184-1_5.

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Kowalczyk, Wojciech, Krzysztof R. Kozłowski, and József K. Tar. "Trajectory Tracking for Formation of Mobile Robots." In Robot Motion and Control 2009, 57–66. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-985-5_6.

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9

Lo, Sio-Long, and Ah-Chung Tsoi. "Motion Boundary Trajectory for Human Action Recognition." In Computer Vision - ACCV 2014 Workshops, 85–98. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16628-5_7.

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Bestaoui, Yasmina. "Geometrical Properties of Aircraft Equilibrium and Nonequilibrium Trajectory Arcs." In Robot Motion and Control 2009, 3–12. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-985-5_1.

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Тези доповідей конференцій з теми "Trajectory of motion"

1

Shandong Wu, Y. F. Li, and Jianwei Zhang. "Motion descriptor: A motion trajectory signature." In 2009 International Conference on Information and Automation (ICIA). IEEE, 2009. http://dx.doi.org/10.1109/icinfa.2009.5204947.

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2

Shan, Rongguang, Qunshu Ren, and Shiguo Li. "ISAR trajectory motion compensation." In Hybrid Image and Signal Processing II, edited by David P. Casasent and Andrew G. Tescher. SPIE, 1990. http://dx.doi.org/10.1117/12.21297.

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3

Sung, Cynthia, Dan Feldman, and Daniela Rus. "Trajectory clustering for motion prediction." In 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012). IEEE, 2012. http://dx.doi.org/10.1109/iros.2012.6386017.

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4

Feng, Xiaomeng, Shi Qu, and Lingda Wu. "Foot Trajectory Kept Motion Retargeting." In 2011 International Conference on Virtual Reality and Visualization (ICVRV). IEEE, 2011. http://dx.doi.org/10.1109/icvrv.2011.34.

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5

Wu, Youfu, and Jun Shen. "Motion detection and trajectory analysis." In Fourth ionternational conference On Virtual Reality and Its Applications in Industry, edited by Jizhou Sun and Zhigeng Pan. SPIE, 2004. http://dx.doi.org/10.1117/12.561119.

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6

Liu, Zhenguang, Pengxiang Su, Shuang Wu, Xuanjing Shen, Haipeng Chen, Yanbin Hao, and Meng Wang. "Motion Prediction using Trajectory Cues." In 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.01305.

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7

Luo, Weilan. "Human motion retargeting with trajectory constraints." In 2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC). IEEE, 2016. http://dx.doi.org/10.1109/besc.2016.7804483.

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8

Shandong Wu, Y. F. Li, and Jianwei Zhang. "A hierarchical motion trajectory signature descriptor." In 2008 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2008. http://dx.doi.org/10.1109/robot.2008.4543677.

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9

Lv, Xiadong, Xinhan Huang, and Min Wang. "Trajectory Snakes for Robotic Motion Tracking." In 2006 International Conference on Mechatronics and Automation. IEEE, 2006. http://dx.doi.org/10.1109/icma.2006.257788.

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10

Paley, D., N. E. Leonard, and R. Sepulchre. "Collective motion: bistability and trajectory tracking." In 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601). IEEE, 2004. http://dx.doi.org/10.1109/cdc.2004.1430330.

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