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20202026
most citedDistributed Data-Driven Predictive Control for Multi-Agent Collaborative Legged Locomotion

3 citations · 5 across the 20 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

eess.SY2024

Minimizing Conservatism in Safety-Critical Control for Input-Delayed Systems via Adaptive Delay Estimation

Yitaek Kim, Ersin Das, Jeeseop Kim +3

Input delays affect systems such as teleoperation and wirelessly autonomous connected vehicles, and may lead to safety violations. One promising way to ensure safety in the presenc…

cs.RO2024

Robust Adaptive Safe Robotic Grasping with Tactile Sensing

Yitaek Kim, Jeeseop Kim, Albert H. Li +2

Robotic grasping requires safe force interaction to prevent a grasped object from being damaged or slipping out of the hand. In this vein, this paper proposes an integrated framewo…

cs.RO2024

Safety-critical Locomotion of Biped Robots in Infeasible Paths: Overcoming Obstacles during Navigation toward Destination

Jaemin Lee, Min Dai, Jeeseop Kim +1

This paper proposes a safety-critical locomotion control framework employed for legged robots exploring through infeasible path in obstacle-rich environments. Our research focus is…

cs.RO2024

Dynamic Walking on Highly Underactuated Point Foot Humanoids: Closing the Loop between HZD and HLIP

Adrian B. Ghansah, Jeeseop Kim, Kejun Li +1

Realizing bipedal locomotion on humanoid robots with point feet is especially challenging due to their highly underactuated nature, high degrees of freedom, and hybrid dynamics res…

cs.RO2024

Safety-critical Autonomous Inspection of Distillation Columns using Quadrupedal Robots Equipped with Roller Arms

Jaemin Lee, Jeeseop Kim, Aaron D. Ames

This paper proposes a comprehensive framework designed for the autonomous inspection of complex environments, with a specific focus on multi-tiered settings such as distillation co…

cs.RO2024★ 1 cited

Data-Driven Predictive Control for Robust Exoskeleton Locomotion

Kejun Li, Jeeseop Kim, Xiaobin Xiong +3

Exoskeleton locomotion must be robust while being adaptive to different users with and without payloads. To address these challenges, this work introduces a data-driven predictive…