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RL-Based Sim2Real Enhancements for Autonomous Beach-Cleaning Agents

This paper explores the application of Deep Reinforcement Learning (DRL) and Sim2Real strategies to enhance the autonomy of beach-cleaning robots. Experiments demonstrate that DRL agents, initially refined in simulations, effectively transfer their navigation skills to real-world scenarios, achievin...

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Principais autores: Francisco Quiroga, Gabriel Hermosilla, German Varas, Francisco Alonso, Karla Schröder
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2024-05-01
סדרה:Applied Sciences
נושאים:
deep reinforcement learning
mobile robotics
position control
obstacle avoidance
simulated environment
real laboratory validation
גישה מקוונת:https://www.mdpi.com/2076-3417/14/11/4602
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