Validation of Tumbling Robot Dynamics with Posture Manipulation for Closed-Loop Heading Angle Control
Salagame, Adarsh, Sihite, Eric, Ramezani, Alireza
–arXiv.org Artificial Intelligence
Navigating rugged terrain and steep slopes is a challenge for mobile robots. Conventional legged and wheeled systems struggle with these environments due to limited traction and stability. Northeastern University's COBRA (Crater Observing Bio-inspired Rolling Articulator), a novel multi-modal snake-like robot, addresses these issues by combining traditional snake gaits for locomotion on flat and inclined surfaces with a tumbling mode for controlled descent on steep slopes. Through dynamic posture manipulation, COBRA can modulate its heading angle and velocity during tumbling. This paper presents a reduced-order cascade model for COBRA's tumbling locomotion and validates it against a high-fidelity rigid-body simulation, presenting simulation results that show that the model captures key system dynamics.
arXiv.org Artificial Intelligence
Nov-19-2024
- Country:
- North America > United States (0.94)
- Genre:
- Research Report (0.64)
- Technology:
- Information Technology > Artificial Intelligence > Robots > Locomotion (0.67)