Collision Avoidance of 3-Dimensional Objects in Dynamic Environments
Kashish Dhal, Abhishek Kashyap, Animesh Chakravarthy

TL;DR
This paper introduces a novel 3D collision avoidance method for moving objects with complex shapes, using ellipsoids and hyperboloids, improving over traditional spherical models.
Contribution
It models object shapes with ellipsoids and hyperboloids and develops a collision cone approach for more accurate 3D collision avoidance.
Findings
Successful simulation of collision avoidance laws
Enhanced shape modeling for better maneuvering
Collision cone construction method demonstrated
Abstract
Achieving collision avoidance between moving objects is an important objective while determining robot trajectories. In performing collision avoidance maneuvers, the relative shapes of the objects play an important role. The literature largely models the shapes of the objects as spheres, and this can make the avoidance maneuvers very conservative, especially when the objects are of elongated shape and/or non-convex. In this paper, we model the shapes of the objects using suitable combinations of ellipsoids and one-sheeted/two-sheeted hyperboloids, and employ a collision cone approach to achieve collision avoidance. We present a method to construct the 3-D collision cone, and present simulation results demonstrating the working of the collision avoidance laws.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRobotic Path Planning Algorithms · Robot Manipulation and Learning · Robotics and Sensor-Based Localization
