Papers
6
Total Citations
110
H-Index
4
About
Xavier Clady is a leading researcher in neuromorphic vision and assistive robotics, whose work bridges the gap between biological perception and artificial systems. His primary research areas include event-based vision, human-robot interaction, and embedded motion capture. Clady’s most impactful contribution is his pioneering work on asynchronous visual event-based time-to-contact estimation (2014, 57 citations), which introduced a paradigm-shifting method for fast, reliable sensing using neuromorphic sensors—overcoming the limitations of traditional frame-based cameras by leveraging their high temporal dynamics and low data redundancy. He also developed an event-based line and segment detection algorithm (2018, 34 citations), enabling luminance-free feature extraction from biomimetic retinas, a critical step for real-time robotic perception. In the domain of assistive robotics, Clady contributed to human detection systems for domestic robots (2011) and embedded 3D motion capture for walking assistive robots (2011), demonstrating practical applications in proxemics and rehabilitation. His work on the MIRAS project further highlights his commitment to multimodal interaction for mobility assistance. With a strong focus on efficiency and biological inspiration, Clady’s research continues to shape the future of autonomous systems and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1Asynchronous visual event-based time-to-contact57 citations · 2014
- 2
- 3A human detection system for proxemics interaction7 citations · 2011
- 4An embedded human motion capture system for an assistive walking robot7 citations · 2011
- 5
- 6A New Voting Algorithm for Tracking Human Grasping Gestures2 citations · 2005