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Enhancing Efficiency in Collision Avoidance: A Study on Transfer Reinforcement Learning in Autonomous Ships’ Navigation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Collision avoidance in ships and robotic vehicles exemplifies a complex work process that necessitates effective scenario recognition and precise movement decision-making. Machine learning methods addressing such work ...
Designing Robotic Manipulation: Exploring Knowledge Transfer in CausalWorld
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This study explores the design issues of a learning-based approach to solving a tri-finger robotic arm manipulating task, which requires complex movements and coordination among the fingers. We train an agent to acquire ...