Clemens Eppner

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代表论文

1. 1
   Deep Learning Approaches to Grasp Synthesis: A Review

   215 次引用 · 2023
2. 2
   Exploitation of environmental constraints in human and robotic grasping

   199 次引用 · 2015
3. 3
   Self-supervised 6D Object Pose Estimation for Robot Manipulation

   198 次引用 · 2020
4. 4
   Learning dexterous manipulation for a soft robotic hand from human demonstrations

   144 次引用 · 2016
5. 5
   Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems

   140 次引用 · 2016
6. 6
   The humanoid museum tour guide Robotinho

   103 次引用 · 2009
7. 7
   Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems

   65 次引用 · 2017
8. 8
   Planning grasp strategies That Exploit Environmental Constraints

   54 次引用 · 2015
9. 9
   A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-Based Grasp Data Set

   54 次引用 · 2022
10. 10
    Combining model-based policy search with online model learning for control of physical humanoids

    53 次引用 · 2016

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