Academic literature on the topic 'Robots Motion'
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Journal articles on the topic "Robots Motion"
Yan, Feng, Haitao Gao, Lei Zhang, and Yali Han. "Design and motion analysis of multi-motion mode pipeline robot." Journal of Physics: Conference Series 2246, no. 1 (April 1, 2022): 012029. http://dx.doi.org/10.1088/1742-6596/2246/1/012029.
Full textChoi, Jongmyung, Youngho Lee, Young-Jae Ryoo, Jongsun Choi, and Jaeyoung Choi. "Action Petri Net for Specifying Robot Motions." International Journal of Humanoid Robotics 11, no. 04 (December 2014): 1442004. http://dx.doi.org/10.1142/s0219843614420043.
Full textHuang, Yonghua, Qizheng Liao, Lei Guo, and Shimin Wei. "Simple realization of balanced motions under different speeds for a mechanical regulator-free bicycle robot." Robotica 33, no. 9 (May 15, 2014): 1958–72. http://dx.doi.org/10.1017/s026357471400112x.
Full textYu, Zhong Hai. "Generic Technology of Home Service Robot." Applied Mechanics and Materials 121-126 (October 2011): 3330–34. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.3330.
Full textKarwowski, Waldemar, T. Plank, M. Parsaei, and M. Rahimi. "Human Perception of the Maximum Safe Speed of Robot Motions." Proceedings of the Human Factors Society Annual Meeting 31, no. 2 (September 1987): 186–90. http://dx.doi.org/10.1177/154193128703100211.
Full textLIU, CHAORAN, CARLOS T. ISHI, HIROSHI ISHIGURO, and NORIHIRO HAGITA. "GENERATION OF NODDING, HEAD TILTING AND GAZING FOR HUMAN–ROBOT SPEECH INTERACTION." International Journal of Humanoid Robotics 10, no. 01 (March 2013): 1350009. http://dx.doi.org/10.1142/s0219843613500096.
Full textYu, Shiqi, Yoshihiro Nakata, Yutaka Nakamura, and Hiroshi Ishiguro. "Inter-Module Physical Interactions: A Force-Transmissive Modular Structure for Whole-Body Robot Motion." Journal of Robotics and Mechatronics 33, no. 5 (October 20, 2021): 1190–203. http://dx.doi.org/10.20965/jrm.2021.p1190.
Full textYang, Zhiqian, Junfang Xue, and Weiguo Li. "Structural and Passability Analysis of Dual Detection Mode Pipeline Robot." Journal of Physics: Conference Series 2419, no. 1 (January 1, 2023): 012101. http://dx.doi.org/10.1088/1742-6596/2419/1/012101.
Full textEt.al, JIBUM JUNG. "Use of Human Motion Data to Train Wearable Robots." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (April 11, 2021): 807–11. http://dx.doi.org/10.17762/turcomat.v12i6.2100.
Full textJia, Yan, Xiao Luo, Baoling Han, Guanhao Liang, Jiaheng Zhao, and Yuting Zhao. "Stability Criterion for Dynamic Gaits of Quadruped Robot." Applied Sciences 8, no. 12 (November 25, 2018): 2381. http://dx.doi.org/10.3390/app8122381.
Full textDissertations / Theses on the topic "Robots Motion"
Sorour, Mohamed. "Motion discontinuity-robust controller for steerable wheeled mobile robots." Thesis, Montpellier, 2017. http://www.theses.fr/2017MONTS090/document.
Full textSteerable wheeled mobile robots gain mobility by employing fully steerable conventional wheels, having two active joints, one for steering, and another for driving. Despite having only one degree of mobility (DOM) (defined here as the instantaneously accessible degrees of freedom DOF), corresponding to the rotation about the instantaneous center of rotation (ICR), such robots can perform complex $2D$ planar trajectories. They are cheaper and have higher load carrying capacity than non-conventional wheels (e.g., Sweedish or Omni-directional), and as such preferred for industrial applications. However, this type of mobile robot structure presents challenging textit{basic} control issues of steering coordination to avoid actuator fighting, avoiding kinematic (ICR at the steering joint axis) and representation (from the mathematical model) singularities. In addition to solving the textit{basic} control problems, this thesis also focuses attention and presents solutions to textit{application level} problems. Specifically we deal with two problems: the first is the necessity to "discontinuously" reconfigure the steer joints, once discontinuity in the robot trajectory occurs. Such situation - discontinuity in robot motion - is more likely to happen nowadays, in the emerging field of human-robot collaboration. Mobile robots working in the vicinity of fast moving human workers, will usually encounter discontinuity in the online computed trajectory. The second appears in applications requiring that some heading angle is to be maintained, some object or feature stays in the field of view (e.g., for vision-based tasks), or the translation verse changes. Then, the ICR point is required to move long distances from one extreme of the workspace to the other, usually passing by the robot geometric center, where the feasible robot velocity is limited. In these application scenarios, the state-of-art ICR based controllers will lead to unsatisfactory behavior/results. In this thesis, we solve the aforementioned application level problems; namely discontinuity in robot velocity commands, and better/efficient planning for ICR point motion control while respecting the maximum steer joint performance limits, and avoiding kinematic and representational singularities. Our findings has been validated experimentally on an industrial mobile base
Alkhulayfi, Khalid Abdullah. "Vision-Based Motion for a Humanoid Robot." PDXScholar, 2016. https://pdxscholar.library.pdx.edu/open_access_etds/3176.
Full textBiddlestone, Scott Richard. "Collaborative Motion for Mobile Platforms." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1357227236.
Full textIagnemma, Karl Dubowsky S. "Mobile robots in rough terrain : estimation, motion planning, and control with application to planetary rovers /." Berlin ; New York : Springer, 2004. http://www.loc.gov/catdir/toc/fy0606/2004106986.html.
Full textNakhaei, Alireza. "Motion planning and perception : integration on humanoid robots." Thesis, Toulouse, INPT, 2009. http://www.theses.fr/2009INPT043H/document.
Full textThis thesis starts by proposing a new framework for motion planning using stochastic maps, such as occupancy-grid maps. In autonomous robotics applications, the robot's map of the environment is typically constructed online, using techniques from SLAM. These methods can construct a dense map of the environment, or a sparse map that contains a set of identifiable landmarks. In this situation, path planning would be performed using the dense map, and the path would be executed in a sensor-based fashion, using feedback control to track the reference path based on sensor information regarding landmark position. Maximum-likelihood estimation techniques are used to model the sensing process as well as to estimate the most likely nominal path that will be followed by the robot during execution of the plan. The proposed approach is potentially a practical way to plan under the specific sorts of uncertainty confronted by a humanoid robot. The next chapter, presents methods for constructing free paths in dynamic environments. The chapter begins with a comprehensive review of past methods, ranging from modifying sampling-based methods for the dynamic obstacle problem, to methods that were specifically designed for this problem. The thesis proposes to adapt a method reported originally by Leven et al.. so that it can be used to plan paths for humanoid robots in dynamic environments. The basic idea of this method is to construct a mapping from voxels in a discretized representation of the workspace to vertices and arcs in a configuration space network built using sampling-based planning methods. When an obstacle intersects a voxel in the workspace, the corresponding nodes and arcs in the configuration space roadmap are marked as invalid. The part of the network that remains comprises the set of valid candidate paths. The specific approach described here extends previous work by imposing a two-level hierarchical structure on the representation of the workspace. The methods described in Chapters 2 and 3 essentially deal with low-dimensional problems (e.g., moving a bounding box). The reduction in dimensionality is essential, since the path planning problem confronted in these chapters is complicated by uncertainty and dynamic obstacles, respectively. Chapter 4 addresses the problem of planning the full motion of a humanoid robot (whole-body task planning). The approach presented here is essentially a four-step approach. First, multiple viable goal configurations are generated using a local task solver, and these are used in a classical path planning approach with one initial condition and multiple goals. This classical problem is solved using an RRT-based method. Once a path is found, optimization methods are applied to the goal posture. Finally, classic path optimization algorithms are applied to the solution path and posture optimization. The fifth chapter describes algorithms for building a representation of the environment using stereo vision as the sensing modality. Such algorithms are necessary components of the autonomous system proposed in the first chapter of the thesis. A simple occupancy-grid based method is proposed, in which each voxel in the grid is assigned a number indicating the probability that it is occupied. The representation is updated during execution based on values received from the sensing system. The sensor model used is a simple Gaussian observation model in which measured distance is assumed to be true distance plus additive Gaussian noise. Sequential Bayes updating is then used to incrementally update occupancy values as new measurements are received. Finally, chapter 6 provides some details about the overall system architecture, and in particular, about those components of the architecture that have been taken from existing software (and therefore, do not themselves represent contributions of the thesis). Several software systems are described, including GIK, WorldModelGrid3D, HppDynamicObstacle, and GenoM
Gu, Lifang. "Visual guidance of robot motion." University of Western Australia. Dept. of Computer Science, 1996. http://theses.library.uwa.edu.au/adt-WU2003.0004.
Full textPandey, Saurabh. "Motion planning of free-floating prismatic-jointed robots." Ohio : Ohio University, 1996. http://www.ohiolink.edu/etd/view.cgi?ohiou1178049680.
Full textBhutada, Aditya. "Universal Event and Motion Editor for Robots' Theatre." PDXScholar, 2011. https://pdxscholar.library.pdx.edu/open_access_etds/194.
Full textTan, Liek Foo. "Motion planning for rigid body robots." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/23971.
Full textGiven a non-holonomic disc model, D, its motion constraints in terms of maximum curvature (K (max)), a set W of rectilinear polygonal obstacles which assemble an office-like environment, and two configurations of S and G in free(W), this thesis investigates the planning of a smooth free path which satisfies the following condition: D is allowed backing up motions at the end portions of the path, but the middle is to be of class C(2) in its entirety. Although the motion planning problem of D amidst polygonal obstacles has been extensively studied, the paths considered are mostly class C(2) and piecewise C(2) only, and are subject only to the K(max) constraint. Typically, such paths consist of straight line segments and circular ars which have curvature discontinuity at the junction points. In order for D to follow such paths physically, D has to stop abruptly at each junction point to change curvature. The C(2) path investigated in this thesis allows non-stopping motion of D. It is also subject to a further K(mas) constraint to avoid turns that exceed the rate of change of curvature constraint. A class of smooth curves called cubic spirals are adopted for planning C(2) paths. Properties of the cubic spiral are examined in detail. A framework of layered motion planning approach is proposed to divide and conquer the motion planning problem. A novel sensor-oriented method is presented. It plans a spine net which facilitates D carry out deviation correction using sonar sensors while following a motion path.
Balland, Olivier. "Collaborative motion planning of humanoid robots." Thesis, KTH, Reglerteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-148115.
Full textBooks on the topic "Robots Motion"
Workshop, on Visual Motion (1989 Irvine Calif ). Proceedings: Analysis, motion. Washington, D.C: IEEE Computer Society Press, 1989.
Find full textT, Schwartz Jacob, Sharir Micha, and Hopcroft John E. 1939-, eds. Planning, geometry, and complexity of robot motion. Norwood, N.J: Ablex Pub. Corp., 1987.
Find full textRobot motion planning. Boston: Kluwer Academic Publishers, 1991.
Find full textHarada, Kensuke, Eiichi Yoshida, and Kazuhito Yokoi, eds. Motion Planning for Humanoid Robots. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-220-9.
Full textHarada, Kensuke, Eiichi Yoshida, and Kazuhito Yokoi. Motion planning for humanoid robots. London: Springer, 2010.
Find full textCanny, J. F., and Zexiang Li. Nonholonomic motion planning. New York: Springer Science+Business Media, LLC, 1993.
Find full textSadati, Nasser. Hybrid control and motion planning of dynamical legged locomotion. Hoboken, N.J: Wiley, 2012.
Find full textKaramanlis, Vasilios. Mulltivariate motion planning of autonomous robots. Monterey, Calif: Naval Postgraduate School, 1997.
Find full textTan, Liek Foo. Motion planning for rigid body robots. Monterey, Calif: Naval Postgraduate School, 1992.
Find full textYu, Junzhi, and Min Tan. Motion Control of Biomimetic Swimming Robots. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-8771-5.
Full textBook chapters on the topic "Robots Motion"
Wolf, Andreas, and Henrik Schunk. "Grippers – The “App” for Robots." In Grippers in Motion, 46–87. München: Carl Hanser Verlag GmbH & Co. KG, 2018. http://dx.doi.org/10.3139/9781569907153.002.
Full textJacobs, Paul, and John Canny. "Planning Smooth Paths for Mobile Robots." In Nonholonomic Motion Planning, 271–342. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3176-0_8.
Full textSuárez, R., L. Basañez, and J. Rosell. "Contact Estimation for Compliant Motion Control." In Making Robots Smarter, 65–84. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5239-0_5.
Full textYamane, Katsu. "Human Motion Tracking by Robots." In Dance Notations and Robot Motion, 417–30. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25739-6_20.
Full textMarco, D. B., A. J. Healey, and R. B. McGhee. "Autonomous Underwater Vehicles: Hybrid Control of Mission and Motion." In Underwater Robots, 95–112. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1419-6_5.
Full textWang, Yaobing. "Motion Control of Space Robots." In Space Robotics, 61–83. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4902-1_4.
Full textXidias, Elias, Nikos A. Aspragathos, and Philip Azariadis. "Motion Design for Service Robots." In Intelligent Robotics and Applications, 630–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25486-4_63.
Full textZanlungo, Francesco, Zeynep Yücel, Florent Ferreri, Jani Even, Luis Yoichi Morales Saiki, and Takayuki Kanda. "Social Group Motion in Robots." In Social Robotics, 474–84. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70022-9_47.
Full textKuffner, James, Koichi Nishiwaki, Satoshi Kagami, Masayuki Inaba, and Hirochika Inoue. "Motion Planning for Humanoid Robots." In Springer Tracts in Advanced Robotics, 365–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11008941_39.
Full textStark, G., and P. Weigele. "Robot motion execution planning." In Integration of Robots into CIM, 87–97. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2372-3_12.
Full textConference papers on the topic "Robots Motion"
Wu, Bin, and C. Steve Suh. "Decentralized Multi-Robot Motion Planning Applicable to Dynamic Environment." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10788.
Full textMedeiros, Vivian Suzano, and Marco Antonio Meggiolaro. "Trajectory Optimization for Hybrid Wheeled-Legged Robots in Challenging Terrain." In VIII Workshop de Teses e Dissertações em Robótica/Concurso de Teses e Dissertações em Robótica. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/wtdr_ctdr.2020.14960.
Full textS¸ucan, Ioan A., Jonathan F. Kruse, Mark Yim, and Lydia E. Kavraki. "Reconfiguration for Modular Robots Using Kinodynamic Motion Planning." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2296.
Full textRojas, Salvador, He Shen, Holly Griffiths, Ni Li, and Lanchun Zhang. "Motion and Gesture Compliance Control for High Performance of a Wheeled Humanoid Robot." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-72337.
Full textWang, Shih-Liang. "On Force and Motion Control of Serial-Parallel Robots." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/mech-1151.
Full textCheng, Marvin, and Ezzat Bakhoum. "Tracking Control Design and Implementation of Multiaxial Controller for Social Robotic Devices." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-70510.
Full text"TT walking robots and mobile robots." In 2018 15th International Workshop on Advanced Motion Control (AMC). IEEE, 2018. http://dx.doi.org/10.1109/amc.2019.8371096.
Full textZhou, Yu. "A Distributed Self-Deployment Algorithm Suitable for Multiple Nonholonomic Mobile Robots." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-50056.
Full textLindsey, Quentin J., Michael Shomin, and Vijay Kumar. "Cooperative Quasi-Static Planar Manipulation With Multiple Robots." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28585.
Full textAronov, Boris, Mark de Berg, A. Frank van der Stappen, Petr Švestka, and Jules Vleugels. "Motion planning for multiple robots." In the fourteenth annual symposium. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/276884.276926.
Full textReports on the topic "Robots Motion"
Minami, T., H. Kakugawa, Ichiro Suzuki, and Masafumi Yamashita. On Motion Coordination of Robots with Volume. Fort Belvoir, VA: Defense Technical Information Center, February 1994. http://dx.doi.org/10.21236/ada299459.
Full textBhutada, Aditya. Universal Event and Motion Editor for Robots' Theatre. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.194.
Full textSunardi, Mathias. Expressive Motion Synthesis for Robot Actors in Robot Theatre. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.720.
Full textBarraquand, Jerome, and Jean-Claude Latombe. Robot Motion Planning: A Distributed Representation Approach. Fort Belvoir, VA: Defense Technical Information Center, May 1989. http://dx.doi.org/10.21236/ada209890.
Full textKavraki, Lydia, Jean-Claude Latombe, Rajeew Motwani, and P. Raghavan. Randomized Query Processing in Robot Motion Planning. Fort Belvoir, VA: Defense Technical Information Center, December 1994. http://dx.doi.org/10.21236/ada326821.
Full textBlackburn, Michael R., and Hoa G. Nguyen. Vision Based Autonomous Robot Navigation: Motion Segmentation,. Fort Belvoir, VA: Defense Technical Information Center, April 1996. http://dx.doi.org/10.21236/ada308472.
Full textMichaloski, John L. Coordinated joint motion for an industrial robot. Gaithersburg, MD: National Bureau of Standards, 1988. http://dx.doi.org/10.6028/nbs.ir.88-3735.
Full textAlkhulayfi, Khalid. Vision-Based Motion for a Humanoid Robot. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.3173.
Full textJung, Boyoon, and Gaurav S. Sukhatme. Real-time Motion Tracking from a Mobile Robot. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada459071.
Full textLatombe, 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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