Jayadev P Satya

Papers

Total Citations

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About

Jayadev P Satya is a researcher advancing the intersection of robotics and artificial intelligence, with a primary focus on autonomous navigation and real-time decision-making systems. His most cited work, "Real Time Path Planning of Robot using Deep Reinforcement Learning" (2020, 10 citations), tackles a fundamental challenge in robotics: enabling a robot to navigate from a start to a goal position while dynamically avoiding both static and dynamic obstacles in a fully mapped environment. By applying deep reinforcement learning, Satya’s approach equips the robot agent to learn optimal, collision-free paths in real time, moving beyond traditional path planning methods that struggle with adaptability. This contribution is particularly impactful for applications in autonomous vehicles, warehouse logistics, and service robotics, where safe and efficient navigation is critical. While his citation count reflects a focused, emerging body of work, Satya’s research demonstrates a clear commitment to solving practical, high-stakes problems in robotics. His work serves as a valuable foundation for students and researchers exploring reinforcement learning for real-world control systems, highlighting the potential of AI-driven approaches to enhance robot autonomy in complex, dynamic environments.