Research into efficient learning methods for targeted robot manipulation

IntelliMan

Main goal of IntelliMan is to push the limit of robotics cognition. 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.

Runtime:
2022-09-01 until 2026-02-28
Project partners:
  • Universita Di Bologna
  • Friedrich-Alexander-Universität Erlangen/Nürnberg
  • Universitat Politecnica De Catalunya
  • Deutsches Zentrum für Luft- und Raumfahrt (DLR)
  • Universita Degli Studi Di Genova
  • Universita Degli Studi Della Campania Luigi Vanvitelli
  • Fundacio Eurecat
  • Istituto Nazionale Assicurazione Infortuni Sul Lavoro
  • Elvez, Proizvodnja Kabelske Konfekcije In Predelava Plasticnih Mas Doo Elvez
  • Ocado Innovation Limited Ocado
  • Bayerische Forschungsallianz Bavarian Research Alliance GmbH
  • Fondation De L'Institut De Recherche Idiap Idiap
  • University Of Zurich
Website:
Fields of application:
  • Logistic
  • Agriculture
  • Household
Funding:
EU project HORIZON-CL4-2021-DIGITAL-EMERGING-01-11

Project Details

The main objective of the IntelliMan 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.