most citedMulti-Domain Walking with Reduced-Order Models of Locomotion

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

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

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.RO2023

Safety-Critical Coordination of Legged Robots via Layered Controllers and Forward Reachable Set based Control Barrier Functions

Jeeseop Kim, Jaemin Lee, Aaron D. Ames

This paper presents a safety-critical approach to the coordination of robots in dynamic environments. To this end, we leverage control barrier functions (CBFs) with the forward rea…

cs.RO2023

A Data-driven Method for Safety-critical Control: Designing Control Barrier Functions from State Constraints

Jaemin Lee, Jeeseop Kim, Aaron D. Ames

This paper addresses the challenge of integrating explicit hard constraints into the control barrier function (CBF) framework for ensuring safety in autonomous systems, including r…

cs.RO2023

Safety-critical Control of Quadrupedal Robots with Rolling Arms for Autonomous Inspection of Complex Environments

Jaemin Lee, Jeeseop Kim, Wyatt Ubellacker +2

This paper presents a safety-critical control framework tailored for quadruped robots equipped with a roller arm, particularly when performing locomotive tasks such as autonomous r…

cs.RO2023★ 1 cited

Multi-Domain Walking with Reduced-Order Models of Locomotion

Min Dai, Jaemin Lee, Aaron D. Ames

Drawing inspiration from human multi-domain walking, this work presents a novel reduced-order model based framework for realizing multi-domain robotic walking. At the core of our a…