Srivatsan Krishnan
Papers
11
Total Citations
223
H-Index
8
About
Srivatsan Krishnan is a pioneering researcher at the intersection of robotics, machine learning, and computer systems architecture, with a particular focus on enabling autonomous aerial robots to operate under severe computational constraints. His most influential contribution, the Air Learning platform (cited 74 times across two publications), established an open-source deep reinforcement learning environment for benchmarking UAV navigation algorithms against real-world hardware limitations — a resource now widely adopted by the robotics research community. Krishnan's "Formula-1 roofline model," introduced in his 2020 cyber-physical co-design paper (33 citations), provides researchers and engineers a systematic framework for understanding the critical interplay between sensing, computing, and drone dynamics. His work on Tiny Robot Learning (38 citations) has helped define an emerging subfield dedicated to deploying machine learning on nano-scale, resource-constrained robots, including demonstrating fully autonomous deep-RL inference directly on a nano quadcopter microcontroller. Complementing these efforts, his profiling tools and automated design space exploration methods address the often-overlooked systems-level challenges of real-world RL deployment. With over 190 cumulative citations, Krishnan's research is shaping the future of intelligent, efficient autonomous machines.
Research Focus
Key Achievements
Top Papers
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- 5Tiny Robot Learning (tinyRL) for Source Seeking on a Nano Quadcopter26 citations · 2021
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- 10AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots4 citations · 2021