Papers
15
Total Citations
265
H-Index
8
About
Zhiqiang Sui is a leading researcher in autonomous robotic manipulation, semantic perception, and human-robot interaction. His work centers on enabling robots to understand and act in cluttered, uncertain environments by integrating open knowledge, goal-directed reasoning, and robust perception. Sui’s major contributions include the Semantic Robot Programming (SRP) paradigm, which allows users to program robots by demonstrating goal scenes, and the Sequential Scene Understanding and Manipulation (SUM) framework for probabilistic scene estimation. His axiomatic particle filtering approach and GRIP system address adversarial conditions and translucent objects, advancing secure, reliable manipulation. With over 240 cumulative citations, his most influential paper, “Toward Open Knowledge Enabling for Human-Robot Interaction” (45 citations), pioneers the use of open-source knowledge for autonomous decision-making. Sui’s work on GeoFusion and multi-mode NLP further bridges semantic mapping and language processing, earning recognition for pushing the boundaries of robot autonomy in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1Toward Open Knowledge Enabling for Human- Robot Interaction45 citations · 2013
- 2
- 3Goal-directed robot manipulation through axiomatic scene estimation35 citations · 2017
- 4SUM: Sequential scene understanding and manipulation31 citations · 2017
- 5
- 6Axiomatic particle filtering for goal-directed robotic manipulation22 citations · 2015
- 7
- 8GeoFusion: Geometric Consistency Informed Scene Estimation in Dense Clutter11 citations · 2020
- 9Multi-mode Natural Language Processing for Extracting Open Knowledge8 citations · 2012
- 10