[robotics-worldwide] [meetings] CfP ICRA 2019 Workshop - Long-term Human Motion Prediction

Palmieri Luigi (CR/AER) Luigi.Palmieri at de.bosch.com
Fri Feb 8 05:26:26 PST 2019

Call for Papers

ICRA 2019
Workshop on Long-term Human Motion Prediction

Key Facts
ICRA 2018 Workshop, May 23 or 24, 2019 (TO BE CONFIRMED)
Location: Montreal, Canada

Submission Deadline:  April 5, 2019
Notification: April 19, 2019

URL: https://urldefense.proofpoint.com/v2/url?u=https-3A__motionpredictionicra2019.github.io&d=DwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=RMrca3xermvX4LW5e3wUkpqqwYyMMXbuCGmywLIXAM0&s=g3CqyDSk9O8wz-VkgN_nqBxWe-iqpIHrQsLkf6_Z7ac&e=

Motion trajectory prediction in 2D and 3D
Predicting articulated human motion
Early action and activity recognition
Predictive motion and task planning in dynamic environments
Anticipation of group and crowd motion
Human motion prediction and safety
Human-Robot Interaction considering predictions
Evaluation of prediction algorithms: datasets, metrics and benchmarks
Predictive planning and control
Applications of motion prediction techniques
Visual scene prediction

Anticipating human motion is a key skill for intelligent systems that share a space or interact with humans. Accurate long-term predictions of human movement trajectories, body poses, actions or activities may significantly improve the ability of robots to plan ahead, anticipate the effects of their actions or to foresee hazardous situations. The topic has received increasing attention in recent years across several scientific communities with a growing spectrum of applications in service robots, self-driving cars, collaborative manipulators or tracking and surveillance. The aim of this workshop is to bring together researchers and practitioners from different communities and to discuss recent developments in this field, promising approaches, their limitations, benchmarking techniques and open challenges. The program includes invited speakers (eight confirmed, two tentative) and a poster session with spotlight talks.

The topic of human motion prediction is of interest for researchers from different scientific areas, such as motion planning, learning and control, human-robot interaction, intelligent transportation systems and computer vision. However, it is rarely in the spotlight and is usually treated as small and single component part of a larger research problem. This workshop aims to build a platform for researchers interested in the development of reliable motion prediction approaches and tools to evaluate their performance and quality. It will feature a diverse set of high-profile invited speakers both form academia and industry. Their expertise is covering a wide spectrum of topics, including computer vision, human-robot interaction, autonomous vehicles.

Invited Speakers
Alexandre Massoud Alahi (EPFL)
Mohan Trivedi (UC San Diego)
Dinesh Manocha (University of Maryland at College Park)
Michiel van de Panne (University of British Columbia)
Emel Demircan (California State University Long Beach)
Anca Dragan (Berkeley)
Edward Schmerling (Stanford)
Andrey Rudenko (Robert Bosch GmbH Corporate Research)

We welcome researchers in the field to submit papers to be presented in pitch-talks and as posters. Submitted manuscripts should be between 1 and 2 pages, formatted according to ICRA standards using the Paper Template downloadable on the IEEE ICRA 2019 website (two-column format). We encourage authors to submit a video clip to complement their manuscript. Submissions will be selected based on their originality, relevance to the workshop topics, contributions, technical clarity, and presentation.

To submit your contributions please follow: https://urldefense.proofpoint.com/v2/url?u=https-3A__easychair.org_conferences_-3Fconf-3Dlhmp19&d=DwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=RMrca3xermvX4LW5e3wUkpqqwYyMMXbuCGmywLIXAM0&s=ax4s7ambfoCME1GwTa0DkKGmv55Xbcx05ph6DrqDOwQ&e=

Program Committee
Drazen Brscic (University of Rijeka)
Timm Linder (Robert Bosch GmbH)
Andrey Rudenko (Robert Bosch GmbH)
Tomasz Kucner (University of Orebro)
Tom Duckett (University of Lincoln)
Michiel van de Panne, (University of British Columbia)
Emel Demircan (California State University Long Beach)
Martin Giese (University of Tuebingen)

Luigi Palmieri (Robert Bosch GmbH Corporate Research)
Kai O. Arras (Robert Bosch GmbH, Corporate Research)
Marc Hanheide (University of Lincoln)
Achim Lilienthal (University of Orebro)
Jim Mainprice (University of Stuttgart)

More information at:

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