Papers
7
Total Citations
124
H-Index
5
About
Christian Vassallo’s research bridges human-robot interaction and rehabilitation robotics, with a focus on how robots can move safely and naturally alongside people. His pioneering work on pedestrian-robot encounters—most notably his 2016 study on how walkers avoid a mobile robot crossing their path (48 citations) and its follow-up examining robot behavior that mimics human interaction rules (32 citations)—has fundamentally shaped our understanding of socially-aware navigation. Vassallo has also made significant contributions to humanoid locomotion, developing adaptive methods for synthesizing full-body movements on the HRP-2 robot (23 citations) and proposing elegant geometric solutions for nonholonomic robots passing through doorways using only monocular vision. More recently, he has advanced lower-limb exoskeleton technology, creating a versatile gait pattern generator based on Bézier curves for rehabilitation applications, and exploring sensorless impedance control to enable more compact, lightweight assistive devices. His work consistently demonstrates a commitment to making robots not only functionally capable but also intuitively compatible with human movement and behavior.
Research Focus
Key Achievements
Top Papers
- 1How do walkers avoid a mobile robot crossing their way?48 citations · 2016
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- 4The geometry of confocal curves for passing through a door10 citations · 2015
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