Chiara Danese
Papers
1
Total Citations
2
H-Index
1
About
Chiara Danese is a researcher in robotic manipulation and biomechatronics, with a focus on multibody dynamics and force estimation in dexterous robotic systems. Her most-cited work, "A Multibody Approach for the Finger Force Estimation of a Robotic Hand" (2023), introduces a novel computational framework that models the complex mechanical interactions within robotic hands to accurately estimate fingertip forces during grasping and manipulation tasks. This contribution addresses a critical challenge in soft and rigid robotic hand design, enabling more precise control and safer human-robot interaction. Although early in her career, Danese’s work has already garnered attention for its potential applications in prosthetics, industrial automation, and assistive robotics. By integrating multibody simulation with sensorless force estimation, her research offers a cost-effective alternative to traditional force sensors, advancing the field toward more adaptive and intelligent robotic hands. Danese’s approach is particularly notable for its scalability, promising to improve the functionality of both research platforms and commercial robotic systems. As her citation count grows, she is emerging as a promising voice in the intersection of mechanics, control, and rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
- 1A Multibody Approach for the Finger Force Estimation of a Robotic Hand2 citations · 2023