Position (finance)
Related papers: 20
About
Position, in robotics and AI, refers to the spatial location and orientation of a robot, its end-effector, or objects in its environment, typically expressed as coordinates within a reference frame. It is a foundational concept that underpins nearly every aspect of robot operation, from manipulator kinematics and path planning to mobile robot localization and multi-robot coordination. In practice, position is estimated, tracked, and controlled through diverse techniques. Robot manipulators use forward and inverse kinematics to compute joint configurations that achieve desired end-effector positions, while hybrid position/force control enables compliant interaction with the environment. Mobile robots estimate their position probabilistically using methods such as Markov and Monte Carlo localization, fusing sensor data from odometry, cameras, and range scanners. Visual servoing and SLAM further allow robots to determine and maintain position relative to mapped environments. Accurate position knowledge matters enormously because downstream tasks — grasping, navigation, formation control, and surgical assistance — all depend on knowing where a robot is and where it needs to go. Errors in position estimation propagate into planning and control, degrading performance or causing failures, making robust position representation and correction critical throughout robotics and autonomous systems development.
Top Researchers
Top Cited Papers
A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses
R. Tsai
Citations: 5813 • 1987
Hybrid Position/Force Control of Manipulators
Marc H. Raibert, John Craig
Citations: 2978 • 1981
Robot Analysis: The Mechanics of Serial and Parallel Manipulators
Lung‐Wen Tsai
Citations: 1851 • 1999
Monte Carlo localization for mobile robots
Frank Dellaert, D. Fox, Wolfram Burgard, Sebastian Thrun
Citations: 1613 • 2003
On the Representation and Estimation of Spatial Uncertainty
Randall C. Smith, Peter Cheeseman
Citations: 1562 • 1986
A new technique for fully autonomous and efficient 3D robotics hand/eye calibration
R. Tsai, R. Lenz
Citations: 1343 • 1989
Time-Optimal Control of Robotic Manipulators Along Specified Paths
J.E. Bobrow, Steven Dubowsky, J.S. Gibson
Citations: 1301 • 1985
A robot with improved absolute positioning accuracy for CT guided stereotactic brain surgery
Y. S. Kwoh, Jung-Fu Hou, Edmond Jonckheere, S. Hayati
Citations: 1257 • 1988
Optimal and Efficient Path Planning for Partially Known Environments
Anthony Stentz
Citations: 1245 • 1997
Modeling and control of formations of nonholonomic mobile robots
Jaydev P. Desai, J.P. Ostrowski, Vijay Kumar
Citations: 1155 • 2001
Monte Carlo localization: efficient position estimation for mobile robots
Dieter Fox, Wolfram Burgard, Frank Dellaert, Sebastian Thrun
Citations: 1073 • 1999
A decentralized approach to formation maneuvers
Jonathan Lawton, Randal W. Beard, Bobbi Young
Citations: 1050 • 2003
Minimum-time control of robotic manipulators with geometric path constraints
Kang G. Shin, Neil David McKay
Citations: 992 • 1985
2 1/2 D visual servoing
Ezio Malis, François Chaumette, S. Boudet
Citations: 943 • 1999
Markov Localization for Mobile Robots in Dynamic Environments
D. Fox, Wolfram Burgard, Sebastian Thrun
Citations: 909 • 1999
Analysis of the Accuracy and Robustness of the Leap Motion Controller
Frank Weichert, Daniel Bachmann, Bartholomäus Rudak, Denis Fisseler
Citations: 905 • 2013
Visual simultaneous localization and mapping: a survey
Jorge Fuentes-Pacheco, J. Ruiz-Ascencio, Juan Manuel Rendón-Mancha
Citations: 886 • 2012
New potential functions for mobile robot path planning
Shuzhi Sam Ge, Ying Cui
Citations: 847 • 2000
Full control of a quadrotor
Samir Bouabdallah, Roland Siegwart
Citations: 796 • 2007
A Stewart Platform- Based Manipulator: General Theory and Practical Construction
E. F. Fichter
Citations: 794 • 1986