Academic literature on the topic 'Trajectory of motion'
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Journal articles on the topic "Trajectory of motion"
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.
Full textYotsumoto, 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.
Full textBeh, 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.
Full textLee, 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.
Full textWu, 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.
Full textTremblay, 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.
Full textKramer, 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.
Full textPopov, 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.
Full textPutov, 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.
Full textBarata, 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.
Full textDissertations / Theses on the topic "Trajectory of motion"
Mhawesh, Mustafa Azzam Naji. "Trajectory planning using higher order motion specifications." Thesis, California State University, Fullerton, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10243067.
Full textThis 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.
Kinney, Justin P. "Jerk limited reference trajectory generation for motion control." Thesis, Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/16024.
Full textBurke, Sean E. "Reactive trajectory adjustment for motion execution using Chekhov." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91450.
Full text5
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.
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.
Full textDai, Wei. "FPCA Based Human-like Trajectory Generating." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4811.
Full textBasset, 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.
Full textID: 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
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.
Full textSoto, E. R. "(Un)veiling bodies : a trajectory of Chilean post-dictatorship documentary." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/62042/.
Full textCakir, Rasit. "Fractional Brownian motion and dynamic approach to complexity." Thesis, University of North Texas, 2007. https://digital.library.unt.edu/ark:/67531/metadc3992/.
Full textBhat, Aditya. "Locomotion Trajectory Generation For Legged Robots." Digital WPI, 2017. https://digitalcommons.wpi.edu/etd-theses/1167.
Full textBooks on the topic "Trajectory of motion"
Gibson, David Michael. Trajectory-based multi-frame motion estimation with applications to motion compensated prediction. Birmingham: University of Birmingham, 2001.
Find full textSinclair, Iain. Crash: David Cronenberg's post-mortem on J.G. Ballard's 'Trajectory of fate'. London: BFI Pub., 1999.
Find full textSinclair, Iain. Crash: David Cronenberg's post-mortem on J.G. Ballard's 'Trajectory of fate'. London: British Film Institute, 1999.
Find full textDeterministic explanation of quantum mechanics: Based on a new trajectory-wave ordering interaction. St. Cloud, Minn: North Star Press of St. Cloud, 1994.
Find full textTobarah, Edward *. Point-to-point motion trajectory planning. 1988.
Find full textNolte, David D. Galileo’s Trajectory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805847.003.0003.
Full textBenhabib, Bensiyon. Kinematic analysis and optimal motion trajectory planning of redundant manipulators. 1985.
Find full textTabarah, Edward. Trajectory planning for the coordinated continuous-path motion of two-robot systems. 1993.
Find full textUnited 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.
Find full textOwen, William Scott. On-line trajectory resolution for the coordinated motion of a two-armed robotic sculpting system. 2006.
Find full textBook chapters on the topic "Trajectory of motion"
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.
Full textVukobratović, 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.
Full textVukobratović, 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.
Full textVukobratović, 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.
Full textYang, 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.
Full textKhan, 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.
Full textOreifej, 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.
Full textKowalczyk, 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.
Full textLo, 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.
Full textBestaoui, 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.
Full textConference papers on the topic "Trajectory of motion"
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.
Full textShan, 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.
Full textSung, 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.
Full textFeng, 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.
Full textWu, 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.
Full textLiu, 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.
Full textLuo, 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.
Full textShandong 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.
Full textLv, 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.
Full textPaley, 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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