Manoj Velmurugan — accepted AI-conference papers

2025

EdgeFlowNet: 100FPS@1W Dense Optical Flow for Tiny Mobile Robots

Sai Ramana Kiran Pinnama Raju, Rishabh Singh, Manoj Velmurugan, Nitin J. Sanket

RA-L 2025

Optical flow estimation is a critical task for tiny mobile robotics to enable safe and accurate navigation, obstacle avoidance, and other functionalities. However, optical flow estimation on tiny robots is challenging due to limited onboard sensing and computation capabilities. In this letter, we pr

Cited by 5 Source ↗Scholar ↗

2025

VizFlyt: Perception-centric Pedagogical Framework For Autonomous Aerial Robots

Kushagra Srivastava, Rutwik Kulkarni, Manoj Velmurugan, Nitin J. Sanker

ICRA 2025

Autonomous aerial robots are becoming commonplace in our lives. Hands-on aerial robotics courses are pivotal in training the next-generation workforce to meet the growing market demands. Such an efficient and compelling course depends on a reliable testbed. In this paper, we present VizFlyt, an open

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