Stefano Ghidini
Papers
6
Total Citations
107
H-Index
5
About
Stefano Ghidini is a leading researcher in human-robot collaboration (HRC), with a focus on making industrial robots safer, more intuitive, and easier to control. His work spans gesture-based programming, human-aware task and motion planning, and advanced teleoperation systems. Ghidini’s most influential contribution is the MEGURU system (43 citations), a gesture-based robot program builder for meta-collaborative workstations that allows workers to program robots through natural hand movements, eliminating the need for traditional coding. He also developed a layered control approach for human-aware task and motion planning (28 citations), which efficiently combines task sequencing with real-time motion adjustments to handle the uncertainty of human behavior in shared workspaces. His "Hands-Free" augmented reality teleoperation system (16 citations) enables operators to control robot end-effectors using only their hands, leveraging OpenPose neural networks for real-time tracking. Additionally, Ghidini has made significant contributions to robot control theory, including robust tuning rules for series elastic actuators (13 and 5 citations), enhancing the damping and stability of collaborative robots. His work directly addresses the core challenges of Industry 5.0, bridging the gap between human flexibility and robotic precision.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Hands-Free: a robot augmented reality teleoperation system16 citations · 2020
- 4
- 5Robust Tuning Rules for Series Elastic Actuator PID Cascade Controllers5 citations · 2018
- 6