31 citations · 46 across the 10 of their papers we have counts for
10 papers
MGRD: Compact morphology-gated residual diffusion for variance-aware cross-domain neurite forecasting
Tsung Yeh Hsieh, Cosmin Anitescu, Chunghwan Kim +2
Tracking neurite morphology over time helps characterize structural changes during neuronal development and deterioration, but long-term time-lapse imaging is resource-intensive an…
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…
Neurodevelopmental disorders modeling using isogeometric analysis, dynamic domain expansion and local refinement
Kuanren Qian, Genesis Omana Suarez, Toshihiko Nambara +4
Neurodevelopmental disorders (NDDs) have arisen as one of the most prevailing chronic diseases within the US. Often associated with severe adverse impacts on the formation of vital…
Roadmap for Animate Matter
Giorgio Volpe, Nuno A. M. Araújo, Maria Guix +37
Humanity has long sought inspiration from nature to innovate materials and devices. As science advances, nature-inspired materials are becoming part of our lives. Animate materials…
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…
Biomimetic IGA neuron growth modeling with neurite morphometric features and CNN-based prediction
Kuanren Qian, Ashlee S. Liao, Shixuan Gu +2
Neuron growth is a complex, multi-stage process that develops sophisticated morphologies and interwoven neurite networks. Recent advances have enabled us to examine the effects of…
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…
Control for Multifunctionality: Bioinspired Control Based on Feeding in Aplysia californica
Victoria A. Webster-Wood, Jeffrey P. Gill, Peter J. Thomas +1
Animals exhibit remarkable feats of behavioral flexibility and multifunctional control that remain challenging for robotic systems. The neural and morphological basis of multifunct…