Daniel Cruz Cavalieri
Papers
5
Total Citations
102
H-Index
4
About
Daniel Cruz Cavalieri is a leading researcher in assistive robotics and human-machine interfaces, dedicated to restoring mobility and communication for individuals with severe disabilities. His work centers on developing intelligent, adaptable robotic wheelchairs and multi-modal control systems that break down barriers for users with varying levels of impairment. Cavalieri’s most influential contribution is a modality-independent interface for robotic wheelchairs, cited 75 times, which allows users to command the device through supervised or fully autonomous navigation. This flexibility is a hallmark of his approach: he has pioneered interfaces that can be operated via eye blinks, eye and head movements, blowing/sucking, and even brain waves, as detailed in his 2013 work. By integrating biological signal processing—from myoelectrical eye-blink detection to iris tracking—Cavalieri enables control of devices without physical manipulation. His broader impact extends to wearable robotics, including lower limb exoskeletons and powered prosthetics for gait compensation. Through this body of work, Cavalieri has created versatile, user-centered technologies that empower people with disabilities to interact with their environment with greater independence and dignity.
Research Focus
Key Achievements
Top Papers
- 1Towards a New Modality-Independent Interface for a Robotic Wheelchair75 citations · 2013
- 2
- 3A VERSATILE ROBOTIC WHEELCHAIR COMMANDED BY BRAIN SIGNALS OR EYE BLINKS8 citations · 2008
- 4Controlling Devices Using Biological Signals5 citations · 2011
- 5Wearable Lower Limb and Full‐Body Robots3 citations · 2008