Clemens Eppner

Nvidia (United States), Technische Universität Berlin, Robotics Research (United States), University of Freiburg, University of California, Berkeley, Nvidia (United Kingdom)

Papers

34

Total Citations

1,629

H-Index

19

About

No biography available yet.

Research Focus

Computer science34 · 1,629 citations
Artificial intelligence33 · 1,627 citations
Robot27 · 1,473 citations
GRASP15 · 920 citations
Engineering15 · 920 citations
Human–computer interaction15 · 917 citations
Object (grammar)15 · 788 citations
Machine learning10 · 589 citations
Process (computing)4 · 465 citations
Computer vision12 · 425 citations
Reinforcement learning4 · 399 citations
Grippers3 · 392 citations

Key Achievements

19
H-Index
34
Papers
1,629
Total Citations
48
Avg Citations/Paper
🏆 Most Cited Paper
Deep Learning Approaches to Grasp Synthesis: A Review
215 citations · 2023
📈 Most Prolific Year: 2016 (5 Papers)
🤝 Key Collaborators: 65
🏛 Institutions: Nvidia (United States), Technische Universität Berlin, Robotics Research (United States), University of Freiburg, University of California, Berkeley, Nvidia (United Kingdom)

Top Papers

  1. 1
    Deep Learning Approaches to Grasp Synthesis: A Review
    215 citations · 2023
  2. 2
    Exploitation of environmental constraints in human and robotic grasping
    199 citations · 2015
  3. 3
    Self-supervised 6D Object Pose Estimation for Robot Manipulation
    198 citations · 2020
  4. 4
    Learning dexterous manipulation for a soft robotic hand from human demonstrations
    144 citations · 2016
  5. 5
    Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems
    140 citations · 2016
  6. 6
    The humanoid museum tour guide Robotinho
    103 citations · 2009
  7. 7
    Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems
    65 citations · 2017
  8. 8
    Planning grasp strategies That Exploit Environmental Constraints
    54 citations · 2015
  9. 9
    A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-Based Grasp Data Set
    54 citations · 2022
  10. 10
    Combining model-based policy search with online model learning for control of physical humanoids
    53 citations · 2016

Key Collaborators

DFDieter Fox17 shared papersOBOliver Brock11 shared papersAMArsalan Mousavian11 shared papersRMRoberto Martín-Martín4 shared papersASArne Sieverling4 shared papersJÁJosé Álvarez-Ruiz3 shared papersMMMarianne Maertens3 shared papersRJRico Jonschkowski3 shared papersSHSebastian Höfer3 shared papersVWVincent Wall3 shared papersPAPieter Abbeel3 shared papersLCLachlan Chumbley2 shared papersXDXinke Deng2 shared papersRNR. Newbury2 shared papersTATamim Asfour2 shared papersTLTomás Lozano‐Pérez2 shared papersJLJürgen Leitner2 shared papersMGMorris Gu2 shared papersAMAdithyavairavan Murali2 shared papersTBTimothy Bretl2 shared papers
Not generated yet