Alessio Micheli
Papers
11
Total Citations
238
H-Index
9
About
Alessio Micheli is a leading researcher at the intersection of robotics, artificial intelligence, and the Internet of Things (IoT), with a particular focus on creating intelligent, adaptive systems for ambient assisted living. His work centers on developing "robotic ecologies"—distributed networks of sensors, actuators, and mobile robots that can learn, self-configure, and evolve to support humans in smart homes and critical environments. A key contribution is his pioneering use of Reservoir Computing, a form of recurrent neural network, to enable context-aware robot navigation and localization from noisy sensor data, such as RSSI signals. This approach allows robots to learn and adapt to user preferences in real-time, as demonstrated in his highly cited work on "Learning context-aware mobile robot navigation in home environments" (24 citations). Micheli’s vision of the "Internet of Robotic Things" (58 citations) has been instrumental in shaping how sensing, actuating, and AI converge. With over 200 citations across his most influential papers, his research provides foundational frameworks for autonomous systems that are both intelligent and ecologically integrated.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robotic Ubiquitous Cognitive Ecology for Smart Homes35 citations · 2015
- 3
- 4Robotic UBIquitous COgnitive Network26 citations · 2012
- 5Learning context-aware mobile robot navigation in home environments24 citations · 2014
- 6Robot Localization by Echo State Networks Using RSS20 citations · 2013
- 7
- 8A General Purpose Distributed Learning Model for Robotic Ecologies13 citations · 2012
- 9
- 10