3 papers
cs.RO2025
Surrogate compliance modeling enables reinforcement learned locomotion gaits for soft robots
Jue Wang, Mingsong Jiang, Luis A. Ramirez +5
Adaptive morphogenetic robots adapt their morphology and control policies to meet changing tasks and environmental conditions. Many such systems leverage soft components, which ena…
cs.RO2024
Learning Differentiable Tensegrity Dynamics using Graph Neural Networks
Nelson Chen, Kun Wang, William R. Johnson +3
Tensegrity robots are composed of rigid struts and flexible cables. They constitute an emerging class of hybrid rigid-soft robotic systems and are promising systems for a wide arra…
cs.RO2024
Stretchable Arduinos embedded in soft robots
Stephanie J. Woodman, Dylan S. Shah, Melanie Landesberg +2
To achieve real-world functionality, robots must have the ability to carry out decision-making computations. However, soft robots stretch and therefore need a solution other than r…