Francesca Sorgini
Papers
2
Total Citations
12
H-Index
2
About
Francesca Sorgini is a researcher advancing the frontiers of human-robot interaction through tactile sensing and bidirectional communication. Her work focuses on developing intuitive, gesture-based control systems for collaborative robots, integrating neuromorphic haptic feedback to create a seamless loop between human intention and robotic action. Her most-cited paper, "Tactile sensing with gesture-controlled collaborative robot" (2020, 10 citations), introduces a system that enables multisensory telepresence, allowing operators to control industrial robots through natural gestures while receiving tactile feedback. This innovation has broad implications for tele-medicine, rescue operations, and manufacturing, where precise, remote manipulation is critical. In her earlier work, "Gesture-Based Control of a Robot Arm with Neuromorphic Haptic Feedback" (2018, 2 citations), she laid the groundwork for these bidirectional interfaces, demonstrating how neuromorphic sensors can replicate human touch. Sorgini’s contributions are pivotal in making human-machine collaboration safer, more intuitive, and more effective, bridging the gap between complex robotic systems and human operators. Her research not only enhances industrial automation but also opens new possibilities for assistive technologies and remote healthcare, marking her as a key innovator in the field of collaborative robotics.
Research Focus
Key Achievements
Top Papers
- 1Tactile sensing with gesture-controlled collaborative robot10 citations · 2020
- 2Gesture-Based Control of a Robot Arm with Neuromorphic Haptic Feedback2 citations · 2018