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Joonho Lee — most-cited papers & profile · Robotics
← authors
·
overview
Joonho Lee
34
papers ·
1410
citations ·
37
h-index
Harvard University · Harvard University Press · Samsung Medical Center · Sungkyunkwan University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Learning Quadrupedal Locomotion over Challenging Terrain
2020 · 1026 citations
Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged Robots
2024 · 102 citations
Combining Learning-based Locomotion Policy with Model-based Manipulation for Legged Mobile Manipulators
2022 · 76 citations
Robust Recovery Controller for a Quadrupedal Robot using Deep Reinforcement Learning
2019 · 27 citations
Circus ANYmal: A Quadruped Learning Dexterous Manipulation with Its Limbs
2020 · 8 citations
Evaluation of Constrained Reinforcement Learning Algorithms for Legged Locomotion
2023 · 6 citations
CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge
2022 · 2 citations
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation
2023 · 1 citations
Learning to walk in confined spaces using 3D representation
2024 · 1 citations
Learning-based legged locomotion; state of the art and future perspectives
2024 · 1 citations
Kinematic Optimization of Phalanx Length Ratios in Robotic Hands Using Potential Dexterity
2026
A Kinematic Framework for Evaluating Pinch Configurations in Robotic Hand Design without Object or Contact Models
2026
A Kinematic Analysis of Palm Degrees of Freedom for Enhancing Thumb Opposability in Robotic Hands
2026
Learning Fast, Tool aware Collision Avoidance for Collaborative Robots
2025
Learning agile and dynamic motor skills for legged robots
2019
Top co-authors
Marco Hutter
· 10
Vladlen Koltun
· 3
Timon Homberger
· 2
Xiangyun Meng
· 2
Alexey Dosovitskiy
· 1
Anqi Li
· 1
Davide Tateo
· 1
Fan Shi
· 1
Jan Peters
· 1
Lukas Bernreiter
· 1
Mark Mueller
· 1
Mihir Kulkarni
· 1
Topics
Control
Locomotion
Manipulation
Navigation
Human-Robot Interaction
Perception
Sim-to-Real
Humanoid
Multi-Robot