Engineering and Technology

Smart insect-computer hybrid robots empowered with enhanced obstacle avoidance capabilities using onboard monocular camera

R. Li, Q. Lin, et al.

This paper introduces a groundbreaking navigation algorithm equipped with an integrated obstacle avoidance module for insect-computer hybrid robots, utilizing a monocular camera. By harnessing a deep learning-based monocular depth estimation algorithm, the system has drastically improved navigation success rates from a meager 6.7% to an impressive 73.3%. This innovative research was conducted by Rui Li, Qifeng Lin, Phuoc Thanh Tran-Ngoc, Duc Long Le, and Hirotaka Sato.