Papers
6
Total Citations
53
H-Index
4
About
Sergio Gurgone is a leading researcher in human motor augmentation and human-robot interaction, whose work focuses on exploiting the body’s natural redundancy to control supernumerary robotic limbs (SRLs). His key contributions lie in demonstrating that humans can simultaneously control both their natural limbs and additional robotic end-effectors by leveraging the muscle-to-force null space—muscle activation patterns that generate no task-relevant force. In his most cited work (2022, 23 citations), he showed that isometric force and electromyographic (EMG) activity can be decoupled to enable this dual control, a breakthrough for assistive and augmentative technologies. Gurgone has also advanced linear EMG-to-force estimation methods (2023, 10 citations; 2022, 4 citations), improving real-time control of exoskeletons and prostheses. His 2023 and 2020 papers on intrinsic kinematic null space (8 and 6 citations, respectively) further established frameworks for SRL control, while his 2024 study (2 citations) synthesized these ideas for practical human augmentation. With a total of over 50 citations, Gurgone’s work is pivotal for designing next-generation wearable robots that expand human capabilities without compromising natural movement.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6