An Efficient Solution to Optimal Motion Planning With Provable Safety and Convergence-Reference-Cited by-同舟云学术

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An Efficient Solution to Optimal Motion Planning With Provable Safety and Convergence

Published:2024 Issue: Volume:3 Page:143-157
ISSN:2694-085X
Container-title:IEEE Open Journal of Control Systems
language:
Short-container-title:IEEE Open J. Control. Syst.

Author:

ROUSSEAS PANAGIOTIS¹^ORCID,Bechlioulis Charalampos²^ORCID,Kyriakopoulos Kostas³^ORCID

Affiliation:

1. Control Systems Lab, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece

2. Division of Systems and Control, School of Electrical and Computer Engineering, University of Patras, Patra, Greece

3. Center of AI & Robotics (CAIR), New York University, Abu Dhabi, UAE

Funder

Hellenic Foundation for Research and Innovation

4th Call for HFRI Ph.D. Fellowships

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9552933/10365700/10473133.pdf?arnumber=10473133

Reference51 articles.

1. From machine learning to robotics: Challenges and opportunities for embodied intelligence;Roy,2021

2. Sampling-based algorithms for optimal motion planning

3. Early experiences on accelerating Dijkstra's algorithm using transactional memory

4. A comparative study of A-star algorithms for search and rescue in perfect maze

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