Soft Robotics
Soft robotics focuses on creating robots from highly deformable materials, enabling safer and more adaptable interaction with unstructured environments. Current research emphasizes developing advanced control algorithms (including physics-informed neural networks and quality diversity optimization) and improved sensing capabilities (like acoustic and capacitive e-skins) to enhance the precision and dexterity of these robots. This field is significant for its potential applications in diverse areas such as minimally invasive surgery, flexible manufacturing, and assistive devices, driving innovation in materials science, control theory, and robotic design.
Papers
CarbonFish -- A Bistable Underactuated Compliant Fish Robot capable of High Frequency Undulation
Zechen Xiong, Zihan Guo, Mark Liu, Jialong Ning, Hod Lipson
Designing a Hair-Clip Inspired Bistable Mechanism for Soft Fish Robots
Zechen Xiong, Hod Lipson
Reconfigurable, Transformable Soft Pneumatic Actuator with Tunable 3D Deformations for Dexterous Soft Robotics Applications
Dickson Chiu Yu Wong, Mingtan Li, Shijie Kang, Lifan Luo, Hongyu Yu
Input Decoupling of Lagrangian Systems via Coordinate Transformation: General Characterization and its Application to Soft Robotics
Pietro Pustina, Cosimo Della Santina, Frédéric Boyer, Alessandro De Luca, Federico Renda
Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots
Alican Mertan, Nick Cheney