Zhitao Yu — accepted AI-conference papers

2025

TinySense: A Lighter Weight and More Power-Efficient Avionics System for Flying Insect-Scale Robots

Zhitao Yu, Joshua Tran, Claire Li, Aaron Weber, Yash P. Talwekar, Sawyer B. Fuller

ICRA 2025

In this paper, we introduce advances in the sensor suite of an autonomous flying insect robot (FIR) weighing less than a gram. FIRs, because of their small weight and size, offer unparalleled advantages in terms of material cost and scalability. However, their size introduces considerable control ch

Cited by 6 Source ↗Scholar ↗

2022

Visual Confined-Space Navigation Using an Efficient Learned Bilinear Optic Flow Approximation for Insect-scale Robots

Zhitao Yu, Gioele Zardini, Andrea Censi, Sawyer Fuller

IROS 2022poster

Visual navigation for insect-scale robots is very challenging because in such a small scale, the size, weight, and power (SWaP) constraints do not appear to permit visual navigation techniques such as SLAM (Simultaneous Localization and Mapping) because they are likely to be too power-hungry. We pro…

Cited by 6 Source ↗Scholar ↗