31 citations · 46 across the 10 of their papers we have counts for
5 papers · 1 filter
PB&J: Peanut Butter and Joints for Damped Articulation
Avery S. Williamson, Michael J. Bennington, Ravesh Sukhnandan +3
Many bioinspired robots mimic the rigid articulated joint structure of the human hand for grasping tasks, but experience high-frequency mechanical perturbations that can destabiliz…
Hitting the Gym: Reinforcement Learning Control of Exercise-Strengthened Biohybrid Robots in Simulation
Saul Schaffer, Hima Hrithik Pamu, Victoria A. Webster-Wood
Animals can accomplish many incredible behavioral feats across a wide range of operational environments and scales that current robots struggle to match. One explanation for this p…
A Bioinspired Synthetic Nervous System Controller for Pick-and-Place Manipulation
Yanjun Li, Ravesh Sukhnandan, Jeffrey P. Gill +3
The Synthetic Nervous System (SNS) is a biologically inspired neural network (NN). Due to its capability of capturing complex mechanisms underlying neural computation, an SNS model…
Design and Characterization of Viscoelastic McKibben Actuators with Tunable Force-Velocity Curves
Michael J. Bennington, Tuo Wang, Jiaguo Yin +3
The McKibben pneumatic artificial muscle is a commonly studied soft robotic actuator, and its quasistatic force-length properties have been well characterized and modeled. However,…
SLUGBOT, an Aplysia-inspired Robotic Grasper for Studying Control
Kevin Dai, Ravesh Sukhnandan, Michael Bennington +6
Living systems can use a single periphery to perform a variety of tasks and adapt to a dynamic environment. This multifunctionality is achieved through the use of neural circuitry…