Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk
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- Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk
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Collision risk assessment and automatic obstacle avoidance strategy for teleoperation robots
Highlights- Collision risk models take into account distance, speed and some indirect factors.
AbstractTeleoperation robots have been paid more attention in aerospace, medical domain, and other fields because of their high precision and maneuverability. However, the working environments in these fields are characterized by danger or ...
Reinforcement learning-based dynamic obstacle avoidance and integration of path planning
AbstractDeep reinforcement learning has the advantage of being able to encode fairly complex behaviors by collecting and learning empirical information. In the current study, we have proposed a framework for reinforcement learning in decentralized ...
Reinforcement Learning for Mobile Robot Obstacle Avoidance with Deep Deterministic Policy Gradient
Intelligent Robotics and ApplicationsAbstractThis paper proposed an improved reinforcement learning (RL) algorithm to develop a strategy for a mobile robot to avoid obstacles with deep deterministic policy gradient (DDPG) in order to solve the problem that the robot spends invalid time ...
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Elsevier Science Publishers B. V.
Netherlands
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