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D-Index & Metrics

Computer Science

D-Index
33
Citations
4392
World Ranking
12721
National Ranking
620

Overview

Dongheui Lee is a researcher affiliated with the Technical University of Munich in Germany, contributing extensively to the fields of engineering and computer science. Their work spans several specialized subfields, including control and systems engineering, computer vision and pattern recognition, artificial intelligence, biomedical engineering, and industrial and manufacturing engineering.

Their research addresses a variety of topics focused primarily on robotics and machine learning. Key topics covered in their publications include robot manipulation and learning, human pose and action recognition, soft robotics and applications, balance, gait, and falls prevention, multimodal machine learning applications, robotic mechanisms and dynamics, and reinforcement learning in robotics.

Lee's recent papers demonstrate an emphasis on robotics control, human action anticipation, and automation frameworks. Notable recent publications include:

  • "Bilateral Teleoperation With Adaptive Impedance Control for Contact Tasks," 2021, IEEE Robotics and Automation Letters
  • "Refining Action Segmentation with Hierarchical Video Representations," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Safety-Aware Hierarchical Passivity-Based Variable Compliance Control for Redundant Manipulators," 2022, IEEE Transactions on Robotics
  • "Intention-Conditioned Long-Term Human Egocentric Action Anticipation," 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "A human-cyber-physical system approach to lean automation using an industrie 4.0 reference architecture," 2020, Procedia Manufacturing

Frequent collaborators in Lee's research include Youssef Michel, Hyemin Ahn, Esteve Valls Mascaro, L. Johannsen, and Matteo Pantano.

Lee has published extensively in venues such as arXiv (Cornell University), IEEE Robotics and Automation Letters, IFAC-PapersOnLine, Scientific Reports, and the IEEE Engineering in Medicine & Biology Society conference.

In addition to articles, Lee has contributed to book publications, including a work titled The Mechanisms Underlying the Human Minimal Self, published by Frontiers Media in 2022.

Best Publications

  • Incremental learning of full body motion primitives and their sequencing through human motion observation

    Dana Kulić;Christian Ott;Dongheui Lee;Junichi Ishikawa

  • RGB-D SLAM in Dynamic Environments using Static Point Weighting

    Shile Li;Dongheui Lee

  • Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals

    Shanxin Yuan;Guillermo Garcia-Hernando;Bjorn Stenger;Gyeongsik Moon

  • Incremental kinesthetic teaching of motion primitives using the motion refinement tube

    Dongheui Lee;Christian Ott

  • Real-time human motion tracking using multiple depth cameras

    Licong Zhang;Jurgen Sturm;Daniel Cremers;Dongheui Lee

  • Motion capture based human motion recognition and imitation by direct marker control

    C. Ott;Dongheui Lee;Y. Nakamura

  • An experience-driven robotic assistant acquiring human knowledge to improve haptic cooperation

    Jose Ramon Medina;Martin Lawitzky;Alexander Mortl;Dongheui Lee

  • Mimetic Communication Model with Compliant Physical Contact in Human-Humanoid Interaction

    Dongheui Lee;Christian Ott;Yoshihiko Nakamura

  • Kinesthetic teaching and attentional supervision of structured tasks in human–robot interaction

    Riccardo Caccavale;Matteo Saveriano;Alberto Finzi;Dongheui Lee;Dongheui Lee

  • Point-To-Pose Voting Based Hand Pose Estimation Using Residual Permutation Equivariant Layer

    Shile Li;Dongheui Lee

  • Risk-Sensitive Optimal Feedback Control for Haptic Assistance

    Jose Ramon Medina;Dongheui Lee;Sandra Hirche

  • Development of a biped robot with torque controlled joints

    Christian Ott;Christoph Baumgartner;Johannes Mayr;Matthias Fuchs

  • Aligning Latent Spaces for 3D Hand Pose Estimation

    Linlin Yang;Shile Li;Dongheui Lee;Angela Yao

  • Learning task-parameterized dynamic movement primitives using mixture of GMMs

    Affan Pervez;Dongheui Lee

  • Discrete-Status-Based Localization for Indoor Service Robots

    Dongheui Lee;Woojin Chung

  • Bilateral Teleoperation With Adaptive Impedance Control for Contact Tasks

    Youssef Michel;Rahaf Rahal;Claudio Pacchierotti;Paolo Robuffo Giordano

  • A reliable position estimation method of the service robot by map matching

    Dongheui Lee;Woojin Chung;Munsang Kim

  • Refining Action Segmentation With Hierarchical Video Representations

    Hyemin Ahn;Dongheui Lee

  • Incremental motion primitive learning by physical coaching using impedance control

    Dongheui Lee;Christian Ott

  • Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction

    Anil Armagan;Guillermo Garcia-Hernando;Seungryul Baek;Seungryul Baek;Shreyas Hampali

  • Cross-modal visuo-tactile object recognition using robotic active exploration

    Pietro Falco;Shuang Lu;Andrea Cirillo;Ciro Natale

  • 3D Hand Pose Estimation: From Current Achievements to Future Goals

    Shanxin Yuan;Guillermo Garcia-Hernando;Björn Stenger;Gyeongsik Moon

  • An Experience-Driven Robotic Assistamt Acquiring Human Knowledge to Impruve Haptic Cooperation

    J.R. Medina-Hernández;M. Lawitzky;A. Mörtl;D. Lee

Frequent Co-Authors

Yoshihiko Nakamura
Yoshihiko Nakamura Mohamed bin Zayed University of Artificial Intelligence
Sandra Hirche
Sandra Hirche Technical University of Munich
Tae-Kyun Kim
Tae-Kyun Kim Korea Advanced Institute of Science and Technology
Dana Kulic
Dana Kulic Monash University
Junsong Yuan
Junsong Yuan University at Buffalo, State University of New York
Jee-Hwan Ryu
Jee-Hwan Ryu Korea Advanced Institute of Science and Technology
Dong-Soo Kwon
Dong-Soo Kwon Korea Advanced Institute of Science and Technology
Antonis A. Argyros
Antonis A. Argyros University of Crete
Ciro Natale
Ciro Natale University of Campania "Luigi Vanvitelli"

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