An NMPC Approach using Convex Inner Approximations for Online Motion Planning with Guaranteed Collision Avoidance-Reference-Cited by-同舟云学术

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An NMPC Approach using Convex Inner Approximations for Online Motion Planning with Guaranteed Collision Avoidance

Published:2020-05 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Schoels Tobias,Palmieri Luigi,Arras Kai O.,Diehl Moritz

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9187508/9196508/09197206.pdf?arnumber=9197206

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Model Predictive Control Approach to Motion Planning in Dynamic Environments;2024 European Control Conference (ECC);2024-06-25

2. AdaptiveNLP: a Framework for Efficient Online Adaptability in NLP Structures for Optimal Control Problems;2024 European Control Conference (ECC);2024-06-25

3. Neural Potential Field for Obstacle-Aware Local Motion Planning;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Online Guaranteed Reachable Set Approximation for Systems With Changed Dynamics and Control Authority;IEEE Transactions on Automatic Control;2024-02

5. Receding Horizon Re-Ordering of Multi-Agent Execution Schedules;IEEE Transactions on Robotics;2024

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