Evelyn D’Elia
Papers
1
Total Citations
7
H-Index
1
About
Evelyn D’Elia is a leading researcher in human–robot interaction and collaborative manipulation, with a focus on developing intuitive frameworks that enhance the synergy between humans and robotic systems. Her most cited work, “Toward an Intuitive and Iterative 6D Virtual Guide Programming Framework for Assisted Human–Robot Comanipulation” (2020, 7 citations), introduces a novel approach to virtual guides—constraints that direct robot movement during comanipulation tasks. This framework allows users to iteratively program six-degree-of-freedom guides, reducing physical effort and cognitive load while improving task accuracy and safety in dynamic environments. D’Elia’s contributions address critical challenges in industrial and assistive robotics, enabling more accessible and flexible human–robot teamwork. Her research has significant implications for manufacturing, healthcare, and rehabilitation, where precise, adaptive assistance is essential. By prioritizing user-centric design and real-time adaptability, D’Elia is shaping the future of collaborative robotics, making advanced robotic assistance more practical and effective for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1