Papers
40
Total Citations
869
H-Index
13
About
Haizhou Li is a prominent robotics and human-robot interaction researcher whose work spans social robotics, robotic perception, cognitive navigation, and biologically inspired computing. His research has made significant strides in understanding how robots can better perceive, interact with, and navigate their environments in human-centered ways. Li's most influential contribution lies in social robotics, where his investigation into voice pitch, humor, and empathy in robot design (310 citations) established foundational principles for making robots more relatable and engaging to human users. Complementing this, his work on effective social robot design and multiperson detection has helped define best practices for deploying robots in real-world public environments. On the perception and navigation front, Li has pioneered brain-inspired approaches to robotic spatial awareness, developing entorhinal-hippocampal cognitive mapping models and RGB-D navigation systems that mirror mammalian spatial reasoning. His contributions to robotic audition — including spiking neural network-based sound localization and audio-visual speaker tracking — demonstrate a sustained commitment to multimodal sensory fusion under challenging acoustic conditions. With over 500 cumulative citations across diverse robotics subfields, Li's interdisciplinary approach — bridging neuroscience, signal processing, and robotics — makes his work essential reading for researchers pursuing intelligent, socially aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Towards an Effective Design of Social Robots56 citations · 2011
- 4Audio-Visual Cross-Attention Network for Robotic Speaker Tracking37 citations · 2022
- 5An Entorhinal-Hippocampal Model for Simultaneous Cognitive Map Building37 citations · 2015
- 6RGB-D based cognitive map building and navigation35 citations · 2013
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- 9Direction-driven navigation using cognitive map for mobile robots20 citations · 2014
- 10