[robotics-worldwide] [IROS][meetings] 1st CFP IROS 2018 CrowdNav Workshop. Current challenges and new paradigms for safe robot navigation in dense crowds.

classic Classic list List threaded Threaded
1 message Options
Reply | Threaded
Open this post in threaded view

[robotics-worldwide] [IROS][meetings] 1st CFP IROS 2018 CrowdNav Workshop. Current challenges and new paradigms for safe robot navigation in dense crowds.

Jean-Bernard Hayet
**Apologies for cross-posting**

CrowdNav Workshop
From Freezing to Jostling Robots: Current Challenges and New Paradigms for Safe Robot Navigation in Dense Crowds
Workshop at IROS 2018 October 1st, 2018 -- Madrid, Spain
Website: https://urldefense.proofpoint.com/v2/url?u=https-3A__project.inria.fr_crowdnav_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=6Z0t0BSNuJeR3vYUE8OoD7fhdnf_4eJ4pwRWXc4zDq0&s=692hBwE64K7kVSwKHZv7NB20p4r9QRlz3JF5gEZqGPk&e= 
Contact: [hidden email]


With state-of-the-art navigation algorithms, mobile robots can navigate safely among groups of people up to low-to-medium crowd density scenarios. When the density of people is not controlled, as in many daily situations (transport facilities, cultural or sports events, streets, shops, etc.), and when the level of density is high, most robots, when faced to human agents in their near vicinity, are programmed to stop to avoid collisions (the “freezing robot” problem). In those cases, the lack of static cues and the proximity of the human agents make it very challenging or even impossible to track and predict the motion of people around the robot, which in turns makes it hard for the robot to adapt its motion locally and to prevent contact.

However, a freezing robot becomes a static obstacle itself, further complicating the navigation problem for the humans around. For example, in evacuation scenarios, such an issue may elevate dangerously the evacuation times. Its navigation system should be designed in such a way that the robot is able to continue its task even in dense crowds. This objective goes well beyond state-of-the-art perception and control capabilities and probably requires completely new navigation, perception, cognition paradigms.

The central question of this workshop will be: How to overcome the perception and navigation problems mentioned above so that a mobile robot can engage in these crowded situations, and behave as safely as possible, so as to limit the number and types of contacts which may occur with the people in the space?

Topics of interest

Topics include, but are not limited to:
• Service robotics.
• Robot perception of human crowds.
• Robot navigation among humans.
• Crowd simulation and analysis.
• Interaction-aware motion planning.
• Control for human-robot physical interactions.
• Compliant robotics.

Confirmed speakers

• Lydia Tapia (UNM, USA)
• Takayuki Kanda (ATR, Japan)
• Amit Kumar Pandey (Softbank Robotics, France)
• Armin Seyfrid (IAS, Germany)
• Mark Pfeiffer (ETH, Switzerland)

Submission Instructions

We invite participants to submit short papers (max. 4 pages). Participants will have the opportunity to make an oral presentation or to participate a poster session. Accepted papers will be available on the workshop website but not on the IEEE conference proceedings. The reviewing is single blind.

The submission page is the following:

Please use the IEEE RAS workshop template (available here).

A 40mn interactive session with posters presentations and one-to-one technical discussions with the authors will be organized. Authors are encouraged to use interactive material for this session.

Important dates

July 8th, 2018: Deadline for submissions.
July 27th, 2018: Acceptance notification.
September 1st, 2018: Final version of the accepted paper.
October 1st, 2018: Workshop half-day.


Madrid Municipal Conference Centre.

Organising committee

• Julien Pettré, Rainbow team, INRIA-Rennes

• Marie Babel (INSA Rennes, France)
• Jean Bernard Hayet (CIMAT, México)
• Paolo Salaris (INRIA Sophia-Antipolis, France)
• Pericle Salvini (EPFL, Switzerland)

robotics-worldwide mailing list
[hidden email]