Wee Ching Pang
Papers
7
Total Citations
45
H-Index
4
About
Wee Ching Pang is a robotics researcher whose work centers on human-robot interaction, autonomous navigation, and multi-robot coordination, with a strong focus on telepresence and urban search and rescue (USAR) applications. Her most-cited paper (2014, 12 citations) introduces a framework for high-level autonomous navigational behaviors in telepresence robots, designed to reduce operator workload while ensuring safe motion. She also developed a multimodal person-following system (2013, 10 citations) using Kinect sensors for color and position matching, enabling robots to track individuals autonomously. In USAR, Pang’s framework for area coverage and visual victim search (2010, 8 citations) allows a human-supervised mobile robot to efficiently scan disaster zones. Her work on single-human multiple-robot systems (SHMRS) tackles cognitive overload by enabling autonomous coordination among robot collectives, as explored in her 2013 paper (3 citations). Pang’s contributions bridge autonomy and human oversight, advancing practical deployment of robots in critical scenarios like telepresence and search-and-rescue.
Research Focus
Key Achievements
Top Papers
- 1
- 2A multimodal person-following system for telepresence applications10 citations · 2013
- 3
- 4Design Considerations of a Robotic Head for Telepresence Applications7 citations · 2012
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