Papers
2
Total Citations
13
H-Index
2
About
Lichang Zhao’s research lies at the intersection of autonomous navigation, human-robot interaction, and intelligent product design. Their most cited work, “Multimodal Pedestrian Trajectory Prediction Based on Relative Interactive Spatial-Temporal Graph” (2022, 9 citations), addresses a critical challenge for autonomous vehicles and mobile robots: modeling the inherently random and socially interactive nature of pedestrian movement. By proposing a graph-based framework that captures spatial-temporal interactions, Zhao’s work enhances the safety and predictability of autonomous systems navigating crowded environments. Earlier, Zhao explored the human-centered side of robotics in “Exploring the norms for the UX design of intelligent products: a case study” (2013, 4 citations), using a xylophone-playing robot as a case study to identify key attributes for successful user experience design. This dual focus—bridging technical trajectory prediction with user-centered design principles—demonstrates a holistic approach to robotics and AI. Zhao’s contributions are particularly valuable for researchers developing socially-aware navigation systems and for designers seeking to make intelligent products more intuitive and engaging.
Research Focus
Key Achievements
Top Papers
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