Papers
11
Total Citations
157
H-Index
7
About
Shuai Wei is a leading researcher in service and industrial robotics, with a focus on developing autonomous systems that operate reliably in complex, real-world environments. His work spans human-robot interaction, autonomous navigation, and intelligent manipulation. Wei is best known for creating the *KeJia* robot platform, a shopping mall guide and domestic service robot that integrates multimodal interaction, semantic task planning, and tolerance to unexpected environmental changes. His foundational paper on the *KeJia* shopping assistant (50 citations) and subsequent work on the *KeJia* domestic robot (10 citations) demonstrate his commitment to deploying robots in open, dynamic spaces. Wei has also made significant contributions to industrial automation, including trajectory planning with Bézier curves for gluing robots (19 citations) and a probabilistic quadtree representation for large-scale mapping (12 citations). His recent work on compliant-based robotic 3D bin packing (11 citations) addresses real-world uncertainties in logistics. With over 150 total citations, Wei’s research bridges the gap between controlled laboratory settings and the unpredictable demands of public and industrial applications, advancing the frontier of truly autonomous service robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2KeJia Robot–An Attractive Shopping Mall Guider29 citations · 2015
- 3
- 4
- 5Compliant‐based robotic 3D bin packing with unavoidable uncertainties11 citations · 2023
- 6Semantic Task Planning for Service Robots in Open Worlds11 citations · 2021
- 7
- 8The Control System Design of A SCARA Robot6 citations · 2014
- 9A Vision Location System Design of Glue Dispensing Robot5 citations · 2015
- 10KeJia: The Intelligent Domestic Robot for RoboCup@Home 20152 citations · 2015