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.

This workshop is third in a series of ICRA 2019-2020 events. 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.

Workshop topics

  • Motion trajectory prediction in 2D and 3D
  • Predicting articulated human motion
  • Early action and activity recognition
  • Motion and Task Planning in dynamic environments considering motion predictions
  • 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

Workshop details

Participation

Here we will add the details on participation.

Program

Program of this workshop includes 8 talks, a poster session and a trajectory prediction challenge.

Time Speaker Topic
00:00 - 00:00 Maren Bennewitz, University of Bonn Title
00:00 - 00:00 Jonathan P. How, MIT Title
00:00 - 00:00 Elena Corina Grigore, Motional Title
00:00 - 00:00 Benjamin Sapp, Waymo Title
00:00 - 00:00 Nick Rhinehart, UC Berkley Title
00:00 - 00:00 Dana Kulic, Monash University Title
00:00 - 00:00 Sami Haddadin, TUM Title
00:00 - 00:00 Lihui Wang, KTH Title

Organizers


Programm Committee

  • Drazen Brscic, Kyoto University, Japan
  • Tomasz Kucner, University of Orebro, Sweden
  • Martin Giese, University of Tübingen, Germany
  • Kris Kitani, Carnegie Mellon University, USA
  • Thierry Fraichard, INRIA, Grenoble, France
  • Stefan Becker, Fraunhofer IOSB, Germany
  • Amir Rasouli, York University, Canada
  • Javad Amirian, Inria, France
  • Christoforos Mavrogiannis, University of Washington, USA
  • Christoph Schöller, fortiss GmbH, Germany
  • Gonzalo Ferrer, Skoltech, Russia

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