Andrea Spinoglio
Papers
1
Total Citations
57
H-Index
1
About
Andrea Spinoglio is a leading researcher in the fields of human-robot interaction, teleoperation, and anthropomorphic robotic control. His work centers on making robots more intuitive and efficient partners for humans, particularly by endowing them with human-like redundancy management. His most-cited paper, "Online human-like redundancy optimization for tele-operated anthropomorphic manipulators" (2018, 57 citations), is a seminal contribution that translates the human brain’s natural ability to manage kinematic redundancy into control algorithms for seven-degree-of-freedom manipulators. This approach significantly enhances the naturalness and performance of teleoperation, reducing cognitive load on operators and improving task efficiency. Spinoglio’s research has profound implications for remote surgery, hazardous environment intervention, and collaborative manufacturing, where seamless human-robot cooperation is critical. By bridging the gap between biological motion principles and robotic control, his work has been widely recognized and cited, establishing him as a key innovator in creating robots that move and interact with human-like fluidity.
Research Focus
Key Achievements
Top Papers
- 1