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CROWDBOT SIGNED

Safe Robot Navigation in Dense Crowds

Total Cost €

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EC-Contrib. €

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Partnership

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Project "CROWDBOT" data sheet

The following table provides information about the project.

Coordinator
INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE 

Organization address
address: DOMAINE DE VOLUCEAU ROCQUENCOURT
city: LE CHESNAY CEDEX
postcode: 78153
website: www.inria.fr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Project website http://www.crowdbot.org
 Total cost 3˙997˙660 €
 EC max contribution 3˙997˙660 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2017-1
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2021-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE FR (LE CHESNAY CEDEX) coordinator 763˙770.00
2    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH CH (ZUERICH) participant 706˙521.00
3    UNIVERSITY COLLEGE LONDON UK (LONDON) participant 599˙993.00
4    SOFTBANK ROBOTICS EUROPE FR (PARIS) participant 536˙250.00
5    RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN DE (AACHEN) participant 516˙625.00
6    ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE CH (LAUSANNE) participant 439˙500.00
7    LOCOMOTEC GMBH DE (LANDSBERG AM LECH) participant 435˙000.00

Map

 Project objective

CROWDBOT will enable mobile robots to navigate autonomously and assist humans in crowded areas. Today’s robots are programmed to stop when a human, or any obstacle is too close, to avoid coming into contact while moving. This prevents robots from entering densely frequented areas and performing effectively in these high dynamic environments. CROWDBOT aims to fill in the gap in knowledge on close interactions between robots and humans during navigation tasks. The project considers three realistic scenarios: 1) a semi-autonomous wheelchair that must adapt its trajectory to unexpected movements of people in its vicinity to ensure neither its user nor the pedestrians around it are injured; 2) the commercially available Pepper robot that must navigate in a dense crowd while actively approaching people to assist them; 3) the under development robot cuyBot will adapt to compact crowd, being touched and pushed by people. These scenarios generate numerous ethical and safety concerns which this project addresses through a dedicated Ethical and Safety Advisory Board that will design guidelines for robots engaging in interaction in crowded environments. CROWDBOT gathers the required expertise to develop new robot capabilities to allow robots to move in a safe and socially acceptable manner. This requires achieving step changes in a) sensing abilities to estimate the crowd motion around the robot, b) cognitive abilities for the robot to predict the short term evolution of the crowd state and c) navigation abilities to perform safe motion at close range from people. Through demonstrators and open software components, CROWDBOT will show that safe navigation tasks can be achieved within crowds and will facilitate incorporating its results into mobile robots, with significant scientific and industrial impact. By extending the robot operation field toward crowded environments, we enable possibilities for new applications, such as robot-assisted crowd traffic management.

 Deliverables

List of deliverables.
Overview of risks when using robots in crowds Documents, reports 2020-02-18 11:09:43
Project website Documents, reports 2020-02-18 11:09:42
First basic integrated robot system prototype in experimental scenario Documents, reports 2020-02-18 11:09:42
Specification of Scenarios Requirements Documents, reports 2020-02-18 11:09:43
Report on physical interactions between robots and humans Documents, reports 2020-02-18 11:09:42
System architecture Documents, reports 2020-02-18 11:09:42
Experiment protocol and risk assessment Documents, reports 2020-02-18 11:09:43
Sensor specification Documents, reports 2020-02-18 11:09:43
Initial Communication, dissemination and exploitation plan Documents, reports 2020-02-18 11:09:42

Take a look to the deliverables list in detail:  detailed list of CROWDBOT deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Jen Jen Chung, Damjan Miklić, Lorenzo Sabattini, Kagan Tumer, Roland Siegwart
The Impact of Agent Definitions and Interactions on Multiagent Learning for Coordination
published pages: , ISSN: , DOI:
Proceedings of the 18thInternational Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019) 2020-02-18
2018 Chandrakant Bothe, Fernando Garcia, Arturo Cruz Maya, Amit Kumar Pandey, Stefan Wermter
Towards Dialogue-Based Navigation with Multivariate Adaptation Driven by Intention and Politeness for Social Robots
published pages: , ISSN: , DOI:
International Conference on Social Robotics 2020-02-18
2019 Huber, L., Billard, A. and Slotine, J.-J.
Avoidance of Convex and Concave Obstacles with Convergence ensured through Contraction
published pages: , ISSN: , DOI:
IEEE Robotics and Automation Letters (RA-L) 2020-02-18
2018 Mark Pfeiffer, Giuseppe Paolo, Hannes Sommer, Juan Nieto, Roland Siegwart, Cesar Cadena
A Data-driven Model for Interaction-aware Pedestrian Motion Prediction in Object Cluttered Environments
published pages: , ISSN: , DOI:
Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA) 2020-02-18

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The information about "CROWDBOT" are provided by the European Opendata Portal: CORDIS opendata.

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