Papers
4
Total Citations
66
H-Index
4
About
Mingbo Li is a robotics researcher whose work spans semantic mapping, social robotics, and humanoid mechanical design. His most impactful contribution, "Building semantic grid maps for domestic robot navigation" (2020, 29 citations), addresses a critical limitation of traditional occupancy grid maps by enriching them with semantic information, enabling domestic robots to navigate more intelligently in real-world home environments. This work bridges the gap between low-level spatial representation and high-level scene understanding. Li also developed a Plutchik’s Wheel inspired affective model for social robots (2019, 25 citations), advancing human-robot interaction by enabling robots to express and recognize emotions more naturally. Earlier in his career, he contributed to the mechanical design of the lightweight, high-stiffness arm of the BHR-03 humanoid robot (2009, 7 citations), demonstrating expertise in modular, multi-sensory joint design with decentralized control. His simulation work on humanoid gait with an active toe joint (2010, 5 citations) further showcases his commitment to improving bipedal locomotion. With a career bridging practical navigation, emotional intelligence, and mechanical innovation, Li’s research continues to shape the capabilities of domestic and humanoid robots.
Research Focus
Key Achievements
Top Papers
- 1Building semantic grid maps for domestic robot navigation29 citations · 2020
- 2Building a Plutchik’s Wheel Inspired Affective Model for Social Robots25 citations · 2019
- 3
- 4Simulation of humanoid motion based on the foot with one active joint5 citations · 2010