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07/28/2023
Formation Control for Moving Target Enclosing via Relative Localization
In this paper, we investigate the problem of controlling multiple unmann...
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07/26/2023
Reinforced Potential Field for Multi-Robot Motion Planning in Cluttered Environments
Motion planning is challenging for multiple robots in cluttered environm...
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06/13/2023
Multi-Robot Motion Planning: A Learning-Based Artificial Potential Field Solution
Motion planning is a crucial aspect of robot autonomy as it involves ide...
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06/06/2023
Distributed Flocking Control of Aerial Vehicles Based on a Markov Random Field
The distributed flocking control of collective aerial vehicles has extra...
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12/07/2022
Policy Transfer via Enhanced Action Space
Though transfer learning is promising to increase the learning efficienc...
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03/09/2022
Multi-robot Cooperative Pursuit via Potential Field-Enhanced Reinforcement Learning
It is of great challenge, though promising, to coordinate collective rob...
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07/25/2021
Reinforcement Learning Compensated Extended Kalman Filter for Attitude Estimation
Inertial measurement units are widely used in different fields to estima...
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09/20/2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control
Decentralized multi-agent control has broad applications, ranging from m...
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08/17/2020
Model-Reference Reinforcement Learning for Collision-Free Tracking Control of Autonomous Surface Vehicles
This paper presents a novel model-reference reinforcement learning algor...
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03/30/2020
Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles with Uncertainties
This paper presents a novel model-reference reinforcement learning contr...
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05/03/2019
Robust Cooperative Formation Control of Fixed-Wing Unmanned Aerial Vehicles
Robust cooperative formation control is investigated in this paper for f...
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04/16/2019