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20182025
most citedContact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization

2 citations · 6 across the 13 of their papers we have counts for

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12 papers · 1 filter

cs.RO2025

SPARK: Safe Protective and Assistive Robot Kit

Yifan Sun, Rui Chen, Kai S. Yun +6

This paper introduces the Safe Protective and Assistive Robot Kit (SPARK), a comprehensive benchmark designed to ensure safety in humanoid autonomy and teleoperation. Humanoid robo…

cs.RO2024

Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots

Feihan Li, Abulikemu Abuduweili, Yifan Sun +3

The control of legged robots, particularly humanoid and quadruped robots, presents significant challenges due to their high-dimensional and nonlinear dynamics. While linear systems…

cs.RO2024

WeHelp: A Shared Autonomy System for Wheelchair Users

Abulikemu Abuduweili, Alice Wu, Tianhao Wei +1

There is a large population of wheelchair users. Most of the wheelchair users need help with daily tasks. However, according to recent reports, their needs are not properly satisfi…

cs.RO2024

Physics-Aware Combinatorial Assembly Sequence Planning using Data-free Action Masking

Ruixuan Liu, Alan Chen, Weiye Zhao +1

Combinatorial assembly uses standardized unit primitives to build objects that satisfy user specifications. This paper studies assembly sequence planning (ASP) for physical combina…

cs.RO20241 cited

Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills

Tianhao Wei, Liqian Ma, Rui Chen +2

The requirements for real-world manipulation tasks are diverse and often conflicting; some tasks require precise motion while others require force compliance; some tasks require av…

cs.RO2024

Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning

Weiye Zhao, Feihan Li, Changliu Liu

Deep reinforcement learning (DRL) has demonstrated remarkable performance in many continuous control tasks. However, a significant obstacle to the real-world application of DRL is…