Papers
1
Total Citations
30
H-Index
1
About
Zhao Yi is a leading figure in robotics, with a primary focus on developing robust, real-world manipulation systems for complex tasks like warehouse automation and item picking. His most impactful work stems from his deep involvement in the Amazon Robotics Challenge, where he systematically addressed the critical integration of grasping, vision, and motion planning. His landmark 2018 paper, "A Robust Robot Design for Item Picking," which has garnered 30 citations, details a meticulous performance study and system requirement analysis that enabled the creation of a stable, reliable robotic platform. This work is a cornerstone for researchers and engineers aiming to bridge the gap between theoretical robotics and practical, high-stakes deployment. Zhao Yi’s contributions are essential reading for anyone interested in the engineering challenges of building truly autonomous systems for unstructured environments, demonstrating how rigorous, experience-driven design can solve some of the hardest problems in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1A Robust Robot Design for Item Picking30 citations · 2018