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About

Sourav Sanyal is a pioneering researcher at the forefront of neuromorphic computing, autonomous aerial navigation, and energy-efficient robotics. His work centers on bridging biological inspiration with cutting-edge engineering, particularly through the application of event-based cameras and physics-guided neuromorphic frameworks to enable intelligent, autonomous systems. Sanyal's most influential contribution, "EV-Planner" (2024, 16 citations), introduced a groundbreaking energy-efficient robot navigation system leveraging neuromorphic event cameras — asynchronous, biologically inspired sensors that dramatically outperform conventional frame-based cameras in dynamic environments. This work exemplifies his commitment to developing computationally lean yet highly capable autonomous systems. His follow-up research in 2025 extended these principles to autonomous aerial platforms using Dynamic Vision Sensors, further advancing obstacle avoidance capabilities in UAVs. Beyond neuromorphic vision, Sanyal has demonstrated breadth through his early work on sliding mode control for electrohydraulic robotic actuation (2015) and his recent "Neuro-LIFT" framework, which integrates Large Language Models with neuromorphic hardware to enable intuitive human-drone interaction at the edge. Collectively, Sanyal's research charts an ambitious course toward intelligent, resource-efficient autonomous systems — making his contributions increasingly relevant to robotics, edge computing, and human-robot collaboration communities worldwide.