Short description: A combined talk of the sister projects Intelliman and Sestosenso.
Date: 04.11.2024 | 16:45-17:15
Location: Philips Hall
Description:
The IntelliMan Project:
Abstract:
This project is focusing on the question of “How a robot can efficiently learn to manipulate in a purposeful and highly performant way”. IntelliMan will range from learning individual manipulation skills from human demonstration, to learning abstract descriptions of a manipulation task suitable for high-level planning, to discovering an object’s functionality by interacting with it, to guarantee performance and safety. IntelliMan aims at developing a novel AI-Powered Manipulation System with persistent learning capabilities, able to perceive the main characteristics and features of its surrounding by means of a heterogeneous set of sensors, able to decide how to execute a task in an autonomous way and able to detect failures in the task execution in order to request new knowledge through the interaction with humans and the environment. IntelliMan further investigates how such AI-powered manipulation systems are perceived by the users and what factors enhance human acceptability.
In this presentation, the IntelliMan project and consortium will be presented, as well as the use cases under development and the main results achieved so far.
The Sestosenso project:
Abstract:
Sestosenso develops next-generation technology for collaborative robots with the ability to self-adapt to dynamic environments and seamlessly transition between autonomous and interactive modes when human collaboration or intervention is needed. The core innovation is the ProxySKIN, a network of embedded proximity and tactile sensors that provide unified sensory feedback -enabling safe and intelligent human-robot interaction in both industrial and service contexts.
Sestosenso is designed to meet the growing demand for flexible, autonomous robots that operate efficiently in dynamic, unstructured environments without requiring extensive infrastructure. By equipping robots and wearable devices, such as exoskeletons, with this advanced sensing technology, the project enhances spatial awareness and improves safety in critical tasks. Sestosenso’s innovations hold the potential to drive significant advancements across various industries, including manufacturing, logistics, and agriculture, accelerating the adoption of human-centered, AI-driven robotics in Industry 4.0 and beyond.
Organiser: Prof. Gianluca Palli - University of Bologna & Dr. Francesco Grella - University of Genova