Papers
2
Total Citations
14
H-Index
2
About
Luca Oppici is a researcher at the intersection of surgical simulation, haptics, and skill transfer, with a focus on how force feedback modalities influence the performance and learning of complex manual tasks. His work critically examines the role of haptic information in surgical suturing, particularly in non-open surgery contexts such as simulation, laparoscopic, and robotic-assisted procedures. In his highly cited review (2022, 11 citations), he systematically questions the prevailing assumptions about force feedback delivery, arguing that the field lacks sufficient evidence to determine which modalities best support skill acquisition and performance. Oppici also contributes to advancing teleoperation-based skill transfer, notably through his work on learning-adaptive deadband sampling for the Tactile Internet (2021, 3 citations). This research addresses the challenge of transmitting haptic data efficiently over networks, enabling remote robot learning from teleoperated demonstrations. By tackling both the pedagogical and technical dimensions of haptic feedback, Oppici’s work is shaping how surgical training and remote skill transfer are designed, with implications for improving patient outcomes and expanding access to expert surgical guidance.
Research Focus
Key Achievements
Top Papers
- 1
- 2