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
Tendon-Driven Soft Robotic Gripper with Integrated Ripeness Sensing for Blackberry Harvesting
Alex Qiu, Claire Young, Anthony Gunderman, Milad Azizkhani, Yue Chen, Ai-Ping Hu
Variable Stiffness Improves Safety and Performance in Soft Robotics
Mert Aydin, Emre Sariyildiz, Charbel Dalely Tawk, Rahim Mutlu, Gursel Alici
A Comprehensive Dataset of Grains for Granular Jamming in Soft Robotics: Grip Strength and Shock Absorption
David Howard, Jack O'Connor, Jordan Letchford, Therese Joseph, Sophia Lin, Sarah Baldwin, Gary Delaney
Active Vibration Fluidization for Granular Jamming Grippers
Cameron Coombe, James Brett, Raghav Mishra, Gary W. Delaney, David Howard