Manish Nagaraj
Papers
2
Total Citations
6
H-Index
2
About
Manish Nagaraj is an emerging researcher at the forefront of neuromorphic computing and autonomous systems, with a specialized focus on event-based sensing, energy-efficient navigation, and intelligent hardware design. His work bridges the gap between biological inspiration and real-world robotics applications, particularly in the domains of aerial autonomy and autonomous vehicles. Nagaraj's most recognized contribution, "Energy-Efficient Autonomous Aerial Navigation with Dynamic Vision Sensors: A Physics-Guided Neuromorphic Approach" (2025), has already garnered 4 citations, demonstrating rapid early-stage impact in the neuromorphic robotics community. This work advances obstacle avoidance capabilities by leveraging Dynamic Vision Sensors (DVS) — event cameras modeled after biological vision systems — offering significant advantages over conventional frame-based imaging in speed-critical environments. His complementary work on event-based cameras for autonomous driving further establishes his expertise in addressing fundamental limitations of traditional sensing, including motion blur and restricted dynamic range. Taken together, Nagaraj's research positions him as a promising voice in next-generation perception systems, with implications spanning drone navigation, self-driving vehicles, and low-power embedded intelligence — areas increasingly vital to the future of robotics and edge computing.
Research Focus
Key Achievements
Top Papers
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- 2