A Human - machine interface for teleoperation of arm manipulators in a complex environment
I. Ivanisevic, V. Lumelsky
Abstract
This paper discusses the feasibility of using configuration space (C-space) as a means of visualization and control in operator-guided real-time motion of a robot arm manipulator. The motivation is to improve performance of the human operator in tasks involving the manipulator motion in an environment with obstacles. Unlike some other motion planning tasks, operators are known to make expensive mistakes in such tasks, even in a simpler two-dimensional case. They have difficulty learning better procedures and their performance improves very little with practice. Using an example of a two-dimensional arm manipulator, we show that translating the problem into C-space improves the operator performance rather remarkably, on the order of magnitude compared to the usual work space control. An interface that makes the transfer possible is described, and an example of its use in a virtual environment is shown.
Create a lesson
Related papers
Splat2Act: From Captured Scenes to Personalized VLA Manipulation
Xiaomeng Ye, Krishna Jaganathan, Gyubeum Lim et al.
Noise Space Learning for VLA Adaptation
Junjie Lu, Chuheng Zhang, Yucen Wang et al.
Chronos Policy: Learning Robot Policies on Physical Time
Changhao Wang, Jaden Clark, Shuran Song
BT-Agent: Deploying Onboard Robot Agents with Behavior Trees and Multi-Fidelity Evaluation
Fabio Hübel, Adam Lilja, Yue Yin et al.
HorizonNav: Geometry-Guided Video Diffusion for Anticipatory 3D Robot Navigation
Hajira Amjad, Valerii Serpiva, Viacheslav Liubimov et al.
Mapless, Stabilizing, and Anti-Stuck Flipper Control for Articulated Tracked Robots
Valentýn Číhala, Pavel Sarga, Martin Pecka et al.