Social and Predictive Navigation
Service robots should predict human motion for safe and efficient operation.
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 sixth in a series of ICRA 2019-2024 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..
Service robots should predict human motion for safe and efficient operation.
Working and co-manipulating in close proximity to humans requires precise full-body motion, task and activity anticipation.
Urban and highway navigation is impossible without fast inference on the dynamic enviroment.
This workshop will feature talks of several high-profile invited speakers of diverse academic and industrial backgrounds and a poster session.
Preliminary program of the full-day workshop is available.
We encourage researchers submit their novel material in short (up to 4 pages) papers to be presented as posters.
Papers will be included.
Recordings of the past LHMP events are available at our YouTube channel.
In case you wish to get more information feel free to reach us via e-mail!