Papers
43
Total Citations
999
H-Index
17
About
Hoang-Long Cao is a multidisciplinary robotics researcher whose work spans socially assistive robotics, human-robot interaction, and rehabilitation engineering. He is perhaps best known for his pioneering contributions to robot-enhanced therapy (RET) for children with autism spectrum disorder (ASD), including developing supervised autonomous systems that reduce reliance on human operators while maintaining therapeutic effectiveness — work that has garnered over 130 citations. His involvement in the EU-funded DREAM project produced one of the most comprehensive behavioral datasets in the field, capturing over 3,000 therapy sessions with 61 children diagnosed with ASD, providing an invaluable resource for data-driven research. Beyond assistive therapy, Cao has made significant contributions to rehabilitation robotics through a highly cited review of gait phase detection algorithms for lower-limb prostheses (129 citations), reflecting his broad interest in human-centered robotic systems. His research also extends into retail and service robotics, exploring how humanoid robots interact with customers at points of sale. More recently, he has addressed critical questions of safety in human-robot collaboration environments. Collectively, his body of work — spanning cognitive empathy frameworks, personalized behavior control systems, and joint attention studies — underscores his commitment to building robots that are not only autonomous but genuinely responsive to human needs.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Review of Gait Phase Detection Algorithms for Lower Limb Prostheses129 citations · 2020
- 3
- 4
- 5A Reinforcement Learning Based Cognitive Empathy Framework for Social Robots44 citations · 2020
- 6
- 7
- 8Sensor-Enabled Safety Systems for Human–Robot Collaboration: A Review39 citations · 2024
- 9
- 10