ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.08993
  4. Cited By
Geometric Task Networks: Learning Efficient and Explainable Skill
  Coordination for Object Manipulation

Geometric Task Networks: Learning Efficient and Explainable Skill Coordination for Object Manipulation

18 September 2021
Meng Guo
Mathias Bürger
ArXivPDFHTML

Papers citing "Geometric Task Networks: Learning Efficient and Explainable Skill Coordination for Object Manipulation"

6 / 6 papers shown
Title
Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation
Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation
Al Arsh Basheer
Justin Chang
Yuyang Chen
David Kim
Iman Soltani
32
0
0
17 Apr 2025
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
Zhuoren Li
Guizhe Jin
Ran Yu
Z. Chen
Nan I. Li
...
Lu Xiong
Bo Leng
Jia Hu
I. Kolmanovsky
Dimitar Filev
49
0
0
31 Mar 2025
Collaborative Planar Pushing of Polytopic Objects with Multiple Robots
  in Complex Scenes
Collaborative Planar Pushing of Polytopic Objects with Multiple Robots in Complex Scenes
Zili Tang
Yuming Feng
Meng Guo
30
1
0
13 May 2024
Interactive Human-in-the-loop Coordination of Manipulation Skills
  Learned from Demonstration
Interactive Human-in-the-loop Coordination of Manipulation Skills Learned from Demonstration
Meng Guo
Mathias Buerger
9
2
0
01 Mar 2022
A Survey of Robot Manipulation in Contact
A Survey of Robot Manipulation in Contact
Markku Suomalainen
Y. Karayiannidis
Ville Kyrki
20
109
0
03 Dec 2021
Learning Forceful Manipulation Skills from Multi-modal Human
  Demonstrations
Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations
An T. Le
Meng Guo
Niels van Duijkeren
Leonel Rozo
R. Krug
A. Kupcsik
Mathias Buerger
25
18
0
09 Sep 2021
1