Andrea Fedele
Papers
1
Total Citations
20
H-Index
1
About
Andrea Fedele is a robotics researcher whose work bridges the critical gap between real-time sensing and intelligent robot control. Her primary research focuses on the on-line processing of position and force measures for contour identification and robot manipulation. In her most cited work, a 2002 paper with 20 citations, Fedele tackled the complex problem of enabling a robot to follow the profile of an unknown workpiece while simultaneously maintaining a specified tangential velocity and normal force. Her key contribution lies in demonstrating that, as a byproduct of this control task, the robot can perform local identification of the workpiece’s geometrical and physical characteristics. This dual-purpose approach—combining control with real-time environmental mapping—was pioneering for its time, offering a more adaptive and autonomous framework for industrial robotics. Fedele’s work has influenced subsequent research in force-controlled manipulation and contour tracking, providing a foundational method for robots to interact with and understand unstructured environments. Her contributions remain relevant for students and researchers exploring sensor-based control and adaptive manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1