Area of interest

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 the eight in a series of ICRA 2019-2026 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.

Social and Predictive Navigation

Exploring the intersection of human behavior and robot navigation, join us to discuss the latest advancements in algorithms and applications that enhance the safety and efficiency of robots in dynamic, human-inhabited environments.

Automated driving

Focusing on the critical role of motion prediction in autonomous vehicles, we address the challenges of real-time decision-making and safety in self-driving technologies, fostering collaboration among researchers and practitioners to shape the future of automated driving.

Collaborative and production robots

Our workshop brings together experts in robotics and AI to explore how motion prediction can improve human-robot collaboration in industrial and service settings. Discover the latest research on anticipatory algorithms that enable robots to work alongside humans more safely and effectively.

Multi-modal Foundation Model Integration

Investigating the integration of multi-modal data in motion prediction, this workshop showcases cutting-edge research on combining visual, sensory, and contextual information to enhance robotic systems' predictive capabilities. Learn about the tools and techniques driving innovation in collaborative and autonomous robotics.

Call for Papers

We welcome researchers in the field to submit papers to be presented in pitch-talks and as posters. Submitted manuscripts can be at most 4 pages (excluding references), formatted according to ICRA standards using the Paper Template downloadable on the IEEE ICRA 2026 website (two-column format). We encourage authors to additionally submit a video clip to complement their manuscript. Submissions will be reviewed and selected based on their originality, relevance to the workshop topics, contributions, technical clarity, and presentation.

Important Dates:

  • Submission Deadline: April 15, 2025
  • Author Notification: April 30, 2025
  • Workshop: June 6, 2026

Upload your paper

We will accept submissions through CMT, as soon as the call for papers is opened.

We look forward to receiving your submissions!

Topics of Interest

We invite researchers to submit original contributions related to long-term human motion prediction. The papers will be presented in pitch-talks and as posters. Topics of interest include, but are not limited to:

  • 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
  • Uncertainties related to prediction inputs/outputs and their propagation
  • 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

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

Organizers

Luigi Palmieri

Luigi Palmieri, Robert Bosch GmbH

Allan Wang

Allan Wang, Miraikan - the National Museum of Emerging Science and Innovation

Dražen Brščić

Dražen Brščić, Kyoto University

Luis Figueredo

Luis Figueredo, University of Nottingham

Adriana Tapus

Adriana Tapus, ENSTA, Institut Polytechnique de Paris

Program

Will be announced soon.

Proceedings

Will be made available after the workshop.

In collaboration with

TUM
ORU
Bosch
RIG
Nvidia
Miraikan
Kyoto University
University of Nottingham
ENSTA Paris
Retenua