Safe Persistent Coverage Control with Control Barrier Functions Based on Sparse Bayesian Learning
Author:
Affiliation:
1. The University of Tokyo,Department of Information Physics and Computing,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9965973/9965785/09966178.pdf?arnumber=9966178
Reference22 articles.
1. Persistent coverage control for a team of agents with collision avoidance
2. Control Barrier Function Based Quadratic Programs for Safety Critical Systems
3. Safe Tracking Control of an Uncertain Euler-Lagrange System with Full-State Constraints using Barrier Functions
4. Constraint learning for control tasks with limited duration barrier functions
5. Safe Control in the Presence of Stochastic Uncertainties
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1. LiDAR-Based Online Control Barrier Function Synthesis for Safe Navigation in Unknown Environments;IEEE Robotics and Automation Letters;2024-02
2. A Two-Layer Control Framework for Persistent Monitoring of a Large Area With a Robotic Sensor Network;IEEE Access;2024
3. Importance-based distributed persistent coverage strategy over environmental hotspots using quadrotors: Algorithm and experiments;Journal of the Franklin Institute;2024-01
4. Sparse Bayesian Approach for Learning Control Barrier Functions and Safe Persistent Coverage Control;Transactions of the Society of Instrument and Control Engineers;2023
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