Impact orientation invariant robot design: an approach to projectile deployed robotic platforms ... Published in: Proceedings 2006 IEEE International Conference ...

Dive into the research topics of 'Impact orientation invariant robot design: An approach to projectile deployed robotic platforms'. Together they form a unique ...

During the course of deployment, unexpected impacts and drops are inevitable, generating a need for an impact orientation invariant design. Within this paper ...

Oct 22, 2024 · These robots are small in size, highly maneuverable, and are tele-operated [2, 3, 5, 7, 8]. Small robotic platforms have both benefits and ...

Papanikolopoulos,. “Impact orientation invariant robot design: an approach to projectile deployed robotic platforms,” in Robotics and Automation, 2006. ICRA.

Impact orientation invariant robot design: an approach to projectile deployed robotic platforms ... deploy a robot as a projectile. This may be ...

Design of a high-impact survivable robot · D. O'HalloranA ... Impact orientation invariant robot design: an approach to projectile deployed robotic platforms.

Impact Orientation Invariant Robot Design: an Approach to Projectile Deployed Robotic PlatformsIan T. Burt, Andrew Drenner, Casey Carlson, A. D. Kottas ...

Oct 21, 2024 · Abstract: Deep imitation learning is a promising approach in robotic manipulation, enabling robots to acquire versatile and adaptable skills.

This research was conducted to support the integration of robotic systems into tactical teams operating in challenging and stressful environments.