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IECON Proceedings Industrial Electronics Conference(2)
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scopus(4)
Slip-aware adaptive path planning for whole-body mobile manipulators using reinforcement learning
OtherAbstract: This work investigates Reinforcement Learning-based motion planning and obstacle avoidance for a skiPalabras claves:Deep deterministic policy gradient, deep Q networks, PATH PLANNING, Q-Learning, Reinforcement learning, skid steer mobile robots, terrain constraintsAutores:Álvaro Javier Prado, Camacho C.Fuentes:scopusA Double Deep Q-Learning Network-Based Path Planning Approach for Autonomous Mobile Robots in Mining Environments
OtherAbstract: Motion planning comprises one of the main corner-stones in autonomous mobile robotics, where obstaclPalabras claves:autonomous moble robots, Double Deep Q-Learning, mining environments, PATH PLANNINGAutores:Álvaro Javier Prado, Camacho C., Kevin Marlon Soza MamaniFuentes:scopusOn the assessment of reinforcement learning techniques for path planning of skid-steer mobile robots subject to terrain constraints
OtherAbstract: This paper studies the application of Reinforcement Learning (RL) techniques for path planning of SkPalabras claves:Deep deterministic policy gradient, deep Q networks, PATH PLANNING, Q-Learning, Reinforcement learning, skid steer mobile robots, terrain constraintsAutores:Álvaro Javier Prado, Camacho C., Kevin Dawson, Menendez O., Miguel Torres-TorritiFuentes:scopusA hybrid reinforcement learning strategy informed by RRT∗ for path planning of mobile robots in open-pit mining
ArticleAbstract: This work introduces a hybrid path planning strategy for differential-drive robotic vehicles, combinPalabras claves:autonomous mobile robot, open-pite mining, PATH PLANNING, Q-Learning, RRTAutores:Álvaro Javier Prado, Cheein F.A.A., Eduardo Aguilar, Katherine Aro, Ricardo Paul Urvina, Sebastian ZapataFuentes:scopus