2nd Workshop on Long-term Human Motion Prediction

IEEE International Conference on Robotics and Automation (ICRA), 2 June 2020, 16:30 - 20:30 CEST
Broadcast LIVE on IEEE.TV, available on youtube

With this workshop we bring together an interdisciplinary community of high-profile researchers and industry leaders, interested in long-term human motion prediction



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 highlights

Participation

Participation in this workshop is free of charge and no registration is required.

The main workshop track will be held in this Zoom room: https://epfl.zoom.us/j/95756947672. Additional rooms will be open during the poster session, see links on the Program page.

The workshop is featured in the ICRA 2020 Slack workspace. To connect, fill out this simple form, follow the link in the end, and then search for the #ws15 channel.

Our workshop is broadcast Live on IEEE.TV

Program

Program of this half-day workshop includes 7 invited talks, a poster session and the trajectory prediction challenge. Details are available here.

Time CEST (PST) Speaker Talk
16:30 - 16:40 (7:30 - 7:40) Organizers Welcome and Introduction
16:40 - 17:00 (7:40 - 8:00) Gonzalo Ferrer, Skoltech Human Motion Prediction for Social Robot Navigation
17:00 - 17:20 (8:00 - 8:20) Marco Pavone, Stanford Multimodal Deep Generative Models for Intent Prediction
17:20 - 17:40 (8:20 - 8:40) Dariu Gavrila, TU Delft Predictive Motion Models for Vulnerable Road Users
17:40 - 17:50 (8:40 - 8:50) Coffee break and setting up posters
17:50 - 18:20 (8:50 - 9:20) Virtual poster session
18:20 - 18:40 (9:20 - 9:40) Adrien Gaidon, Toyota Research Institute Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction
18:40 - 19:00 (9:40 - 10:00) Dorsa Sadigh, Stanford When our Human Modeling Assumptions Fail: The effects of risk, conventions, and non-stationarity on long-term human-robot interaction
19:00 - 19:10 (10:00 - 10:10) Coffee break
19:10 - 19:30 (10:10 - 10:30) Anca Dragan, Berkley Data-driven but Safe Prediction
19:30 - 19:50 (10:30 - 10:50) Heni Ben Amor, Arizona State University Learning to Predict and Respond for Human-Robot Interaction
19:50 - 20:20 (10:50 - 11:20) Kothari Parth TrajNet++ prediction challenge
20:20 - 20:30 (11:20 - 11:30) Organizers Closing remarks

Organizers

Program Committee

  • Drazen Brscic, Kyoto University
  • Timm Linder, Robert Bosch GmbH
  • Tomasz Piotr Kucner, University of Orebro
  • Martin Giese, University of Tuebingen
  • Yoshihiko Nakamura, University of Tokio
  • Gentiane Venture, University of Tokio
  • Marc Hanheide, Univ. of Lincoln
  • Thierry Fraichard, INRIA, Grenoble
  • Pasquale Coscia, University of Padova
  • Lamberto Ballan, University of Padova
  • Achim Lilienthal, University of Orebro
  • Nemanja Duric, Uber ATG

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