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20232026
most citedContact-Aware Safety in Soft Robots Using High-Order Control Barrier and Lyapunov Functions

6 citations · 7 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.RO2026

Distributed Motion Planning with Safety Guarantees for Self-Reconfiguring Robotic Boats

Alejandro Gonzalez-Garcia, Wei Wang, Wei Xiao +4

Aquatic self-reconfigurable robots must assemble into desired shapes while ensuring safe interactions among multiple agents. This paper proposes a hybrid framework that combines di…

cs.RO2026

A Closed-Form CLF-CBF Controller for Whole-Body Continuum Soft Robot Collision Avoidance

Kiwan Wong, Maximillian Stölzle, Wei Xiao +1

Safe operation is essential for deploying robots in human-centered 3D environments. Soft continuum manipulators provide passive safety through mechanical compliance, but still requ…

cs.RO2025

Safe Motion Planning and Control Using Predictive and Adaptive Barrier Methods for Autonomous Surface Vessels

Alejandro Gonzalez-Garcia, Wei Xiao, Wei Wang +5

Safe motion planning is essential for autonomous vessel operations, especially in challenging spaces such as narrow inland waterways. However, conventional motion planning approach…

cs.RO2025

Contact-Aware Safety in Soft Robots Using High-Order Control Barrier and Lyapunov Functions

Kiwan Wong, Maximilian Stölzle, Wei Xiao +3

Robots operating alongside people, particularly in sensitive scenarios such as aiding the elderly with daily tasks or collaborating with workers in manufacturing, must guarantee sa…

cs.RO2023

Safe Control for Soft-Rigid Robots with Self-Contact using Control Barrier Functions

Zach J. Patterson, Wei Xiao, Emily Sologuren +1

Incorporating both flexible and rigid components in robot designs offers a unique solution to the limitations of traditional rigid robotics by enabling both compliance and strength…

cs.RO20231 cited

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models

Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao +5

As autonomous driving technology matures, end-to-end methodologies have emerged as a leading strategy, promising seamless integration from perception to control via deep learning.…