Michele Lamonaca
Papers
1
Total Citations
16
H-Index
1
About
Michele Lamonaca is a robotics researcher whose work bridges the gap between tactile sensing, adaptive manipulation, and immersive visualization. His key research areas include sensor integration for robotic grippers, haptic feedback systems, and the application of virtual reality (VR) to enhance robotic control and human-robot interaction. Lamonaca’s most cited work, “Implementation of tactile sensors on a 3-Fingers Robotiq® adaptive gripper and visualization in VR using Arduino controller” (2018, 16 citations), demonstrates a practical, low-cost approach to equipping adaptive grippers with tactile sensing. By integrating Arduino-controlled sensors with a Robotiq gripper and rendering the system in VR, he enabled real-time force monitoring and intuitive visualization of complex manipulation tasks. This contribution is significant for advancing dexterous robotics, particularly in scenarios requiring precise force control based on object properties. Lamonaca’s work exemplifies how accessible hardware and software tools can be combined to prototype sophisticated robotic systems, making him a notable figure in applied robotics and sensor-driven automation.
Research Focus
Key Achievements
Top Papers
- 1