This project proposes a real-time adaptive motion planning framework using Reinforcement Learning (RL) with a Semi-Markov Decision Process (SMDP). A camera-based perception system will detect the robotic arm’s start and end positions while continuously tracking obstacles.
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This project proposes a real-time adaptive motion planning framework using Reinforcement Learning (RL) with a Semi-Markov Decision Process (SMDP). A camera-based perception system will detect the robotic arm’s start and end positions while continuously tracking obstacles.
Adithya191101/AdaptiveReinforcementLearning-BasedRoboticArm
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This project proposes a real-time adaptive motion planning framework using Reinforcement Learning (RL) with a Semi-Markov Decision Process (SMDP). A camera-based perception system will detect the robotic arm’s start and end positions while continuously tracking obstacles.
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