A Learning-Based Framework for Safe Human-Robot Collaboration with Multiple Backup Control Barrier Functions-Reference-Cited by-同舟云学术

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A Learning-Based Framework for Safe Human-Robot Collaboration with Multiple Backup Control Barrier Functions

Published:2024-05-13 Issue: Volume:18 Page:11676-11682
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Janwani Neil C.¹,Daş Ersin²,Touma Thomas²,Wei Skylar X.²,Molnar Tamas G.³,Burdick Joel W.²

Affiliation:

1. California Institute of Technology,Department of Computing and Mathematical Sciences,Pasadena,CA,91125

2. California Institute of Technology,Department of Mechanical and Civil Engineering,Pasadena,CA,USA,91125

3. Wichita State University,Department of Mechanical Engineering,Wichita,KS,USA,67260

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611634.pdf?arnumber=10611634

Reference28 articles.

1. Runtime Assurance for Safety-Critical Systems: An Introduction to Safety Filtering Approaches for Complex Control Systems

2. The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems

3. A predictive safety filter for learning-based control of constrained nonlinear dynamical systems

4. Control Barrier Function Based Quadratic Programs for Safety Critical Systems

5. Backup Control Barrier Functions: Formulation and Comparative Study

Cited by 1 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. Rollover Prevention for Mobile Robots With Control Barrier Functions: Differentiator-Based Adaptation and Projection-to-State Safety;IEEE Control Systems Letters;2024

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