Safe cooperative robot dynamics on graphs
Robert Ghrist, Daniel Koditschek
Abstract
This paper initiates the use of vector fields to design, optimize, and implement reactive schedules for safe cooperative robot patterns on planar graphs. We consider Automated Guided Vehicles (AGV's) operating upon a predefined network of pathways. In contrast to the case of locally Euclidean configuration spaces, regularization of collisions is no longer a local procedure, and issues concerning the global topology of configuration spaces must be addressed. The focus of the present inquiry is the achievement of safe, efficient, cooperative patterns in the simplest nontrivial example (a pair of robots on a Y-network) by means of a state-event heirarchical controller.
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.