Motion (physics)
Related papers: 20
About
Motion, in the context of robotics and AI, refers to the physical displacement and trajectory of robots, agents, or their components through space over time, governed by the principles of classical mechanics including kinematics and dynamics. In robotics, motion encompasses everything from low-level joint actuation and end-effector control to high-level path and trajectory planning, enabling robots to navigate environments, manipulate objects, and interact safely with people and obstacles. Techniques range from sampling-based planners like OMPL and gradient-based optimizers like CHOMP to operational space control and time-optimal trajectory generation. Motion is equally central to perception tasks such as visual odometry and SLAM, where a robot estimates its own movement through sensor data. It also underpins humanoid locomotion, bioinspired flight, and human motion monitoring via wearable sensors. Understanding and controlling motion is foundational to nearly every robotics application because a robot's usefulness ultimately depends on its ability to move accurately, efficiently, and safely in real-world environments.
Top Researchers
Top Institutes
Top Cited Papers
Robot Motion Planning
Jean‐Claude Latombe
Citations: 5429 • 1991
Computer and Robot Vision
Robert M. Haralock, Linda G. Shapiro
Citations: 3952 • 1991
A benchmark for the evaluation of RGB-D SLAM systems
Jrgen Sturm, Nikolas Engelhard, Felix Endres, Wolfram Burgard, Daniel Cremers
Citations: 3918 • 2012
Bettering operation of Robots by learning
Suguru Arimoto, Sadao Kawamura, Fumio Miyazaki
Citations: 3445 • 1984
A unified approach for motion and force control of robot manipulators: The operational space formulation
Oussama Khatib
Citations: 2917 • 1987
Robotics: modelling, planning and control
Bruno Siciliano, L. Sciavicco, Luigi Villani, Giuseppe Oriolo
Citations: 2507 • 2009
Principles of Robot Motion: Theory, Algorithms, and Implementations
Howie Choset, Jean‐Claude Latombe
Citations: 2062 • 2005
Motion Planning in Dynamic Environments Using Velocity Obstacles
Paolo Fiorini, Zvi Shiller
Citations: 1930 • 1998
Reciprocal n-Body Collision Avoidance
Jur van den Berg, Stephen J. Guy, Ming–Chieh Lin, Dinesh Manocha
Citations: 1811 • 2011
Real-time simultaneous localisation and mapping with a single camera
Davison
Citations: 1718 • 2003
The Open Motion Planning Library
Ioan A. Şucan, Mark Moll, Lydia E. Kavraki
Citations: 1600 • 2012
Visual Odometry [Tutorial]
Davide Scaramuzza, Friedrich Fraundorfer
Citations: 1485 • 2011
Argoverse: 3D Tracking and Forecasting With Rich Maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Sławomir Bąk, Andrew T. Hartnett, Wang De, Peter Carr, Simon Lucey, Deva Ramanan, James Hays
Citations: 1420 • 2019
Time-Optimal Control of Robotic Manipulators Along Specified Paths
J.E. Bobrow, Steven Dubowsky, J.S. Gibson
Citations: 1301 • 1985
Adaptive motion control of rigid robots: A tutorial
Roméo Ortega, Mark W. Spong
Citations: 1224 • 1989
Controlled Flight of a Biologically Inspired, Insect-Scale Robot
Y. Kevin, Pakpong Chirarattananon, Sawyer B. Fuller, Robert J. Wood
Citations: 1102 • 2013
Capture Point: A Step toward Humanoid Push Recovery
Jerry Pratt, John Carff, S. Drakunov, Ambarish Goswami
Citations: 1098 • 2006
Wearable and Highly Sensitive Graphene Strain Sensors for Human Motion Monitoring
Yan Wang, Li Wang, Tingting Yang, Xiao Li, Xiaobei Zang, Miao Zhu, Kunlin Wang, Dehai Wu, Hongwei Zhu
Citations: 1071 • 2014
The 3D linear inverted pendulum mode: a simple modeling for a biped walking pattern generation
Shuuji Kajita, Fumio Kanehiro, Kenji Kaneko, Kazuhito Yokoi, Hirohisa Hirukawa
Citations: 1036 • 2002
A Bioinspired Mineral Hydrogel as a Self‐Healable, Mechanically Adaptable Ionic Skin for Highly Sensitive Pressure Sensing
Zhouyue Lei, Quankang Wang, Shengtong Sun, Wencheng Zhu, Peiyi Wu
Citations: 1005 • 2017