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20242026
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cs.RO2026

Pneumatic neurons for soft robots enable inflate-and-fire networks for rhythmic motion

Dongting Li, Michael Tolley, Nick Gravish

Animals coordinate their movements through distributed neural circuits, but soft robots still typically depend on external, centralized electronics for control. Building soft robot…

cs.HC2026

Pneumatic Units for Logic-based Sequential Excitation (PULSE) in Wearable Haptic Devices

Jessica Healey, Anoush Sepehri, Michael T. Tolley +1

Soft, wearable robotic devices can deliver haptic feedback to support a wide range of tasks, such as extended reality, training various skills, and rehabilitation. Pneumatic actuat…

cs.RO2026

A Task-Agnostic Control Strategy for Dynamic Assistance with Pneumatically Actuated Soft Exosuits

Anoush Sepehri, Zachary Huang, Raymond de Callafon +2

Pneumatic artificial muscles have provided new opportunities to develop upper-extremity soft exosuits for reha- bilitation, augmentation, and assisted daily living. However, the co…

cs.RO2026

Real-time Estimator of Actuator Control and Health (REACH) on an Eel-Inspired Soft Robot

Zhangjingyi Jiang, Myungsun Park, Michael T. Tolley +1

An actuator health estimation algorithm for a soft swimming robot that can perform anguilliform swimming is developed. Due to harsh operational environments of underwater robots, a…

cs.RO2026

Generating Robot Hands from Human Demonstrations

Sha Yi, Nicklas Hansen, Xueqian Bai +3

Robot learning has advanced rapidly in learning control, but learning the physical body of a robot remains much more difficult because jointly searching over design and control cre…

cs.RO2026

TacO: Benchmarking Tactile Sensors for Object Manipulation

Anya Zorin, Zilin Si, Myungsun Park +11

Vision-based learning from demonstrations has achieved remarkable success in enabling robots to perform manipulation tasks and high-level semantic reasoning, yet it remains insuffi…

cs.RO2026

Interdisciplinary Workshop on Mechanical Intelligence: Summary Report

Victoria A. Webster-Wood, Nicholas Gravish, Amir Alavi +37

This report provides a summary of the outcomes of the Interdisciplinary Workshop on Mechanical Intelligence held in 2024. Mechanical Intelligence (MI) represents the phenomenon tha…