Daniele Piscitelli
Papers
2
Total Citations
11
H-Index
2
About
Daniele Piscitelli is a researcher at the forefront of rehabilitation robotics, specializing in the intersection of bio-inspired control systems and evidence-based clinical practice for gait recovery. His work primarily focuses on developing and evaluating robotic orthoses and training protocols for post-stroke patients, addressing the critical challenge of restoring walking autonomy after neurological injury. Piscitelli’s major contributions include a systematic review on robot-assisted gait training (RAGT) in post-stroke rehabilitation, which has garnered 8 citations for its rigorous analysis of clinical outcomes. This work highlights the pressing need for standardized RAGT protocols and evaluation patterns—a gap his research actively seeks to fill. Additionally, he has designed a bioinspired controller for a robotic knee orthosis (3 citations), tackling key challenges such as biomechanical coupling, intention detection, and torque anticipation. This innovative approach aims to improve the functional coupling between human and machine, enhancing wearability and energy autonomy. His research is notable for bridging engineering design with clinical rehabilitation, offering practical solutions to improve patient outcomes. With a growing citation impact, Piscitelli’s work is shaping the future of robotic-assisted therapy, making him a valuable contributor to the fields of neurorehabilitation and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Bioinspired controller for a robotic knee orthosis3 citations · 2022