Intention Communication and Hypothesis Likelihood in Game-Theoretic Motion Planning-Reference-Cited by-同舟云学术

Intention Communication and Hypothesis Likelihood in Game-Theoretic Motion Planning

Published:2023-03 Issue:3 Volume:8 Page:1223-1230
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Chahine Makram¹^ORCID,Firoozi Roya²^ORCID,Xiao Wei¹^ORCID,Schwager Mac²^ORCID,Rus Daniela¹^ORCID

Affiliation:

1. Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA

2. Department of Aeronautics and Astronautics, Stanford University, Palo Alto, CA, USA

Funder

ASEE eFellows

ONR

Toyota Research Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10024862/10021670.pdf?arnumber=10021670

Reference23 articles.

1. Multi-Hypothesis Interactions in Game-Theoretic Motion Planning

2. Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations

3. ALGAMES: a fast augmented Lagrangian solver for constrained dynamic games

4. Fully Decentralized ADMM for Coordination and Collision Avoidance

5. LUCIDGames: Online Unscented Inverse Dynamic Games for Adaptive Trajectory Prediction and Planning

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1. Local Non-Cooperative Games with Principled Player Selection for Scalable Motion Planning;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01