Tingting Xu
Papers
11
Total Citations
257
H-Index
7
About
Tingting Xu is a robotics and computer vision researcher whose work centers on autonomous mobile robots, visual attention systems, and natural human-robot interaction in complex real-world environments. She is perhaps best known for her foundational contributions to the Autonomous City Explorer (ACE) project, a landmark initiative that demonstrated a mobile robot navigating unknown urban environments without GPS or prior map knowledge, relying instead on pedestrian interaction and topological mapping — a paper that has garnered over 110 citations and remains a touchstone in human-robot interaction research. Beyond navigation, Xu has made significant contributions to computational visual attention, pioneering autonomous switching mechanisms between top-down and bottom-up attention selection for mobile robots — a novel approach that addressed critical limitations in multi-object search scenarios. Her work on high-speed GPU-accelerated saliency map models using CUDA technology further bridged the gap between biologically inspired vision models and real-time robotic applications. She also advanced biologically inspired foveated vision systems, integrating multi-focal active cameras for precise attentional object detection. Collectively, her research portfolio reflects a sophisticated effort to endow mobile robots with human-like perceptual and cognitive abilities, making meaningful strides toward robots that can operate safely and intelligently in everyday human environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3The autonomous city explorer project: aims and system overview28 citations · 2007
- 4A high-speed multi-GPU implementation of bottom-up attention using CUDA27 citations · 2009
- 5Navigation through urban environments by visual perception and interaction23 citations · 2009
- 6ATTENTIONAL OBJECT DETECTION WITH AN ACTIVE MULTI-FOCAL VISION SYSTEM13 citations · 2010
- 7
- 8The Autonomous City Explorer project6 citations · 2009
- 9A view direction planning strategy for a multi-camera vision system5 citations · 2008
- 10