Yuki Uranishi
Papers
9
Total Citations
124
H-Index
6
About
Yuki Uranishi is a versatile robotics and human-computer interaction researcher whose work spans autonomous manipulation, aerial robotics, teleoperation, and immersive interfaces. Best known for pioneering imitation learning frameworks for robotic arms, Uranishi's Bi-ACT and ILBiT systems — garnering 25 and 13 citations respectively since 2024 — advance bilateral control-based learning that enables robots to acquire dexterous manipulation skills more naturally and efficiently than traditional methods. Equally notable is Uranishi's contributions to infrastructure inspection robotics; a 2016 hybrid flying-and-walking robot designed for steel bridge inspection (24 citations) elegantly combined aerial mobility with magnetic adhesion to navigate complex three-dimensional surfaces. This engineering ingenuity extends into drone teleoperation, where Uranishi developed adaptive view management techniques to help operators safely navigate occluded and confined environments, work that has collectively attracted over 36 citations across two publications. Research into human-drone interaction through intuitive pointing gestures further demonstrates a consistent commitment to making robotic systems more accessible to non-expert users. With emerging work in mixed reality navigation interfaces, Uranishi continues bridging the gap between physical robotics and intelligent human-machine collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2A hybrid flying and walking robot for steel bridge inspection24 citations · 2016
- 3Adaptive View Management for Drone Teleoperation in Complex 3D Structures19 citations · 2017
- 4Human-Drone Interaction: Using Pointing Gesture to Define a Target Object18 citations · 2020
- 5
- 6
- 7Spherical Magnetic Joint for Inverted Locomotion of Multi-Legged Robot3 citations · 2021
- 8
- 9