The Artificial Intelligence and Robotics Lab of Politecnico di Milano
Plug&Bench’s is a subproject of European project RobMoSys.
Plug&Bench expanded the RobMoSys framework with new elements enabling the definition of standardized and easy to use performance benchmarks.
Contact: Matteo Matteucci
For additional details: https://robmosys.eu/plugbench/
This is an example of collaboration between AIRLab and industry for the development of innovative products. In this case, the product is a device for the assisted transportation of hospital beds (with patients) employing robot technology for flexible movement in tight spaces and safety.
This project, a collaboration between AIRLab, Università di Milano – Bicocca and Info Solution SpA financed by Regione Lombardia, led to the development of international patents and a commercial product (BeN).
Contact: Matteo Matteucci
Sprayin’ with Brain is a line of research projects dealing with applications of Artificial Intelligenge and Robotics to agriculture. Collaboration with external experts (such as researchers in agriculture) and interaction with manufacturers of agricultural machinery and farmers keeps Sprayin’ with Brain focused on real-world problems.
Contact: Matteo Matteucci
The ERL is the last evolution of a long-standing line of work about benchmarking through competitions: i.e., rethinking robot competitions to transform them into tools for objective evaluation of the performance of autonomous robot systems. All this without taking away the elements of fun and challenge that make competitions interesting.
Contact: Matteo Matteucci
For additional details: https://www.eu-robotics.net/robotics_league/
A project for visual 3D reconstruction, where an automatic pipeline models, incrementally, the scene acquired from the images. The pipeline adopts a manifold reconstruction from Structure from Motion point cloud method, a novel mesh merging algorithm and photometric surface evolution.
Subsequent evolution involves improvements to the Multi-View Stereo pipeline, from depth map estimation to mesh refinement by combining classical approaches, such as PatchMatch, with machine learning oriented method, such as geometric deep learning.
Contact: Matteo Matteucci
GRAPE (Ground Robot for vineyArd Monitoring and ProtEction) explores the use of autonomous robots as means for pesticide-free pest control in vineyards. An robot fitted with an arm and a dispenser of pheromone-coated devices has the task of navigating through the vineyard, find suitable target locations for the devices, and place them in place.
Contact: Matteo Matteucci
For additional details: http://www.echord.eu/grape.html
SciRoc is a EU-H2020 funded project supporting the European Robotics League (ERL), whose aim is to bring ERL tournaments in the context of smart cities.
Contact: Matteo Matteucci
For additional details: https://sciroc.eu/
Expressing emotions with a robot that could have any shape and abilities requires to study the expressive power of different interaction channels, and the different features involved in emotional expression: shape, movement, colors, sound, light, timing, input channels, etc.
On this way we have developed, among others, the robots listed below. Some of them exploit emotion expression in their job (robots for people with disabilities, artist robots) others are just experiments to evaluate the basic components of emotion expression.
