Leonardo Olivi
Papers
4
Total Citations
43
H-Index
3
About
Leonardo Olivi is a researcher at the forefront of networked and assistive robotics, with a focus on integrating mobile robots into distributed, web-based infrastructures. His most cited work, "A Cloud Computing Environment for Supporting Networked Robotics Applications" (23 citations), establishes a foundational framework for offloading intensive computational tasks to the cloud, enabling low-latency, resource-heavy operations for distributed robotic systems. This contribution is pivotal for scaling robotics beyond onboard limitations. Olivi further advances human-robot interaction through "Shared control for assistive mobile robots based on vector fields" (10 citations), which explores intuitive control methods—including Brain-Computer Interfaces and Electromyography—to empower users with limited mobility. His "Restful platform for networked robotics" (8 citations) champions the use of standard web protocols for seamless robot integration into larger networked applications, while his later work on a multi-control strategy platform (2 citations) demonstrates a practical prototype for assistive vehicles within smart environments. By bridging cloud computing, web integration, and accessible control, Olivi’s research directly addresses the critical challenges of making robots both powerful and usable, with a clear impact on assistive technology and networked automation.
Research Focus
Key Achievements
Top Papers
- 1A Cloud Computing Environment for Supporting Networked Robotics Applications23 citations · 2011
- 2Shared control for assistive mobile robots based on vector fields10 citations · 2013
- 3A restful platform for networked robotics8 citations · 2013
- 4