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Dr. Mallikarjunachari G. is an Associate Professor in the Department of Mechanical Engineering at PACE Institute of Technology and Sciences, Ongole, Andhra Pradesh. His contribution focuses on deep reinforcement learning for industrial robotics applications.
Deep Reinforcement Learning (DRL) has surfaced as a formidable Artificial Intelligence methodology for creating intelligent, adaptable, and autonomous industrial robotic systems. In contrast to traditional robotic control techniques that depend mostly on established rules and mathematical frameworks, Deep Reinforcement Learning (DRL) allows robots to acquire optimal behaviours by ongoing engagement with their surroundings.The section additionally examines simulation-oriented training, the transfer of simulations to real-world applications, digital twins, edge artificial intelligence, multi-agent reinforcement learning, and secure reinforcement learning. Ultimately, issues pertaining to training efficacy, incentive structuring, safety considerations, computational intricacy, practical implementation, and generalisation are examined alongside prospective research trajectories.