Social and predictive navigation

Service robots should predict human motion for safe and efficient operation.

Collaborative and production robots

Working and co-manipulating in close proximity to humans requires precise full-body motion, task and activity anticipation.

Automated driving

Urban and highway navigation is impossible without fast inference on the dynamic enviroment.

Mission of the workshop

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 fifth in a series of ICRA 2019-2023 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.

Highlights

This workshop features the talks of 8 high-profile invited speakers of diverse academic and industrial backgrounds, a call for short papers and a trajectory prediction challenge.

Program and participation

Preliminary program of the full-day workshop is available. Registration and online participation details will be announced soon.

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Call for papers

We encourage researchers submit their novel material in short (up to 4 pages) papers to be presented as posters.

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Prediction challenge

The challnge details will be announced soon.

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YouTube channel

Recordings of the past LHMP events are available at our YouTube channel.

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In cooperation with