Snake Robot
Snake robots, bio-inspired machines designed to mimic the locomotion of snakes, are a focus of robotics research aiming to create highly agile and adaptable robots capable of navigating complex and unstructured environments. Current research emphasizes developing accurate dynamic models, often incorporating friction and compliance effects, and employing control strategies such as reinforcement learning and hierarchical control architectures to improve locomotion in diverse terrains, including climbing and burrowing. These advancements are significant for expanding the capabilities of robots in challenging environments, with applications ranging from search and rescue to minimally invasive surgery.
Papers
Reinforcement Learning-Based Model Matching in COBRA, a Slithering Snake Robot
Harin Kumar Nallaguntla
Wall-Climbing Performance of Gecko-inspired Robot with Soft Feet and Digits enhanced by Gravity Compensation
Bingcheng Wang, Zhiyuan Weng, Haoyu Wang, Shuangjie Wang, Zhouyi Wang, Zhendong Dai, Ardian Jusufi
Non-impulsive Contact-Implicit Motion Planning for Morpho-functional Loco-manipulation
Adarsh Salagame, Kruthika Gangaraju, Harin Kumar Nallaguntla, Eric Sihite, Gunar Schirner, Alireza Ramezani
Loco-Manipulation with Nonimpulsive Contact-Implicit Planning in a Slithering Robot
Adarsh Salagame, Kruthika Gangaraju, Harin Kumar Nallaguntla, Eric Sihite, Gunar Schirner, Alireza Ramezani