Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon-Reference-Cited by-同舟云学术

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Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon

Published:2023-12-13 Issue: Volume:168 Page:4723-4730
ISSN:
Container-title:2023 62nd IEEE Conference on Decision and Control (CDC)
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Author:

Bejarano Federico Pizarro¹,Brunke Lukas¹,Schoellig Angela P.¹

Affiliation:

1. University of Toronto Robotics Institute and the Vector Institute for Artificial Intelligence,the Learning Systems and Robotics Lab,Toronto,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10383192/10383193/10383734.pdf?arnumber=10383734

Reference28 articles.

1. Zeus: A system description of the two‐time winner of the collegiate SAE autodrive competition

2. Optimizing a Drone Network to Deliver Automated External Defibrillators

3. Automatic Instrument Segmentation in Robot-Assisted Surgery using Deep Learning

4. Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

5. Human-level control through deep reinforcement learning

Cited by 2 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. Practical Considerations for Discrete-Time Implementations of Continuous-Time Control Barrier Function-Based Safety Filters;2024 American Control Conference (ACC);2024-07-10

2. Doxo-Physical Planning: A New Paradigm for Safe and Efficient Human-Robot Interaction under Uncertainty;Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

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