Arunava Nag
Papers
1
Total Citations
16
H-Index
1
About
Arunava Nag is a researcher at the intersection of robotics, biology, and computer vision, with a primary focus on bio-inspired navigation and sensory processing. His most-cited work, "Insect inspired vision-based velocity estimation through spatial pooling of optic flow during linear motion" (2021, 16 citations), exemplifies his innovative approach to understanding how biological systems solve complex perceptual problems. In this study, Nag employs a robotics-inspired-biology methodology to uncover how insects might estimate absolute ground velocity by combining optic flow with acceleration information. His key contribution is identifying three critical requirements for this process, most notably that absolute velocity can only be directly estimated from optic flow during active acceleration and deceleration—a finding that challenges conventional assumptions in autonomous navigation. This work bridges fundamental biology and practical engineering, offering insights for developing more efficient visual odometry systems for drones and robots. Nag's research has implications for creating lightweight, low-power navigation systems that mimic the remarkable efficiency of insect vision, positioning him as a promising voice in the growing field of neuromorphic and bio-inspired robotics.
Research Focus
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Top Papers
- 1