Amit Kumar Sharma

Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Institute of Technology Management

Papers

Total Citations

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About

Amit Kumar Sharma is a dynamic researcher at the intersection of robotics, artificial intelligence, and the Internet of Things (IoT), with a particular focus on autonomous systems and intelligent navigation. His most influential work, "IoT Enabled Indoor Autonomous Mobile Robot using CNN and Q-Learning" (2019, 26 citations), demonstrates his expertise in combining deep learning and reinforcement learning to enable mobile robots to navigate and interact meaningfully within indoor environments — a contribution that has resonated widely within the robotics community. Sharma's research extends into the emerging field of Internet of Robotic Things (IoRT), where his 2018 paper on collective robotic behavior for plant health monitoring showcases his innovative, cost-conscious approach to smart environment sensing. His work on a fully automated hybrid home cleaning robot further reflects his commitment to practical, real-world applications of autonomous systems in domestic settings. Most recently, his 2024 study on hierarchical reinforcement learning for autonomous vehicle trajectory planning signals an exciting evolution in his research trajectory, embracing Soft Actor-Critic methods to tackle complex, safety-critical decision-making challenges. With a growing body of work spanning robotics, IoT, and autonomous vehicles, Sharma represents a versatile and forward-thinking voice in intelligent systems research.