7 papers
Sequential Planning via Anchored Robotic Keypoints
Bryce Grant, Aryeh Rothenberg, Logan Senning +3
We present Sequential Planning via Anchored Robotic Keypoints, SPARK, a training-free neurosymbolic manipulation system that reaches 43.7% on six LIBERO-PRO position \& task cells,…
Control Lyapunov Functions for Underactuated Soft Robots
Huy Pham, Zach J. Patterson
Soft and soft-rigid hybrid robots are inherently underactuated and operate under tight actuator limits, making task-space control with stability guarantees challenging. Common nonl…
Autonomous Sea Turtle Robot for Marine Fieldwork
Zach J. Patterson, Emily Sologuren, Levi Cai +4
Autonomous robots can transform how we observe marine ecosystems, but close-range operation in reefs and other cluttered habitats remains difficult. Vehicles must maneuver safely n…
Safe Autonomous Environmental Contact for Soft Robots using Control Barrier Functions
Akua K. Dickson, Juan C. Pacheco Garcia, Meredith L. Anderson +6
Robots built from soft materials will inherently apply lower environmental forces than their rigid counterparts, and therefore may be more suitable in sensitive settings with unint…
Improving Efficiency of Sampling-based Motion Planning via Message-Passing Monte Carlo
Makram Chahine, T. Konstantin Rusch, Zach J. Patterson +1
Sampling-based motion planning methods, while effective in high-dimensional spaces, often suffer from inefficiencies due to irregular sampling distributions, leading to suboptimal…
Learning to Move in Rhythm: Task-Conditioned Motion Policies with Orbital Stability Guarantees
Maximilian Stölzle, T. Konstantin Rusch, Zach J. Patterson +5
Learning from demonstration provides a sample-efficient approach to acquiring complex behaviors, enabling robots to move robustly, compliantly, and with fluidity. In this context,…