Enforcing safety for vision-based controllers via Control Barrier Functions and Neural Radiance Fields-Reference-Cited by-同舟云学术

Enforcing safety for vision-based controllers via Control Barrier Functions and Neural Radiance Fields

Published:2023-05-29 Issue: Volume: Page:
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Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Tong Mukun¹,Dawson Charles²,Fan Chuchu²

Affiliation:

1. Tsinghua University,Dept. of Automation,Beijing,China

2. MIT,Dept. of Aeronautics and Astronautics,Cambridge,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161482.pdf?arnumber=10161482

Reference17 articles.

1. Discrete Control Barrier Functions for Safety-Critical Control of Discrete Systems with Application to Bipedal Robot Navigation

2. Guaranteeing safety of learned perception modules via measurement-robust control barrier functions;dean;Proceedings of the 2020 Conference on Robot Learning ser Proceedings of Machine Learning Research,2021

3. Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances

4. FaSTrack: A modular framework for fast and guaranteed safe motion planning

5. Vision-Only Robot Navigation in a Neural Radiance World

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