Learning safe control for multi-robot systems: Methods, verification, and open challenges
In this survey, we review the recent advances in control design methods for robotic multi-
agent systems (MAS), focusing on learning-based methods with safety considerations. We …
agent systems (MAS), focusing on learning-based methods with safety considerations. We …
Hierarchical Perception-Improving for Decentralized Multi-Robot Motion Planning in Complex Scenarios
Y Jia, Y Song, B Xiong, J Cheng… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Multi-robot cooperative navigation is an important task, which has been widely studied in
many fields like logistics, transportation, and disaster rescue. However, most of the existing …
many fields like logistics, transportation, and disaster rescue. However, most of the existing …
Human-like constraint-adaptive model predictive control with risk-tunable control barrier functions for autonomous ships
In order to creates a comprehensive control algorithm through incorporating human driving
characteristics and decision-making processes into control systems, a human-like constraint …
characteristics and decision-making processes into control systems, a human-like constraint …
Distributed Sampling-Based Model Predictive Control via Belief Propagation for Multi-Robot Formation Navigation
C Jiang - IEEE Robotics and Automation Letters, 2024 - ieeexplore.ieee.org
Sampling-based stochastic optimal control has become an appealing robotic control
framework due to its ability to handle complex and general forms of dynamics models and …
framework due to its ability to handle complex and general forms of dynamics models and …