Learning Complex Stand-Up Motion for Humanoid Robots

Authors

  • Heejin Jeong University of Pennsylvania
  • Daniel Lee University of Pennsylvania

DOI:

https://doi.org/10.1609/aaai.v30i1.9954

Keywords:

Reinforcement Learning, Robotics, Applications of AI

Abstract

In order for humanoid robots to complete various assigned tasks without any human assistance, they must have the ability to stand up on their own. In this abstract, we introduce complex stand-up motion of humanoid robots learned by using Reinforcement Learning.

AAAI 2016 Proceedings Cover

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Published

2016-03-05

How to Cite

Jeong, H., & Lee, D. (2016). Learning Complex Stand-Up Motion for Humanoid Robots. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9954

Issue

Vol. 30 No. 1 (2016): Thirtieth AAAI Conference on Artificial Intelligence

Section

Student Abstracts and Posters