Where? IMAG Building, Grenoble Campus, France (Google Map link)
When? February 19th-23rd, 2024
What? Learn from outstanding speakers & discussions in HRI
For whom? Master & PhD students, young researchers & engineers
Cost? For free. BUT, we ask that if you register, you come.
For any question: soraim [at] inria [dot] fr
Thank you to all of 2024’s speakers and participants!
We hope to bring to you a 2nd edition in the near future.
Full programme with abstracts here, All sessions replay available here
SoRAIM Winter School Partners
What is SoRAIM?
The SoRAIM multi-disciplinary winter school combines topics in social robotics, artificial intelligence, and multimedia. Several top-level invited speakers will introduce and discuss all relevant areas for building socially aware robots that communicate and interact with humans in a shared space. Lectures will cover the following topics:
- Speech source localization and separation
- Mapping and visual self-localization
- Social-aware robot navigation
- Tracking and analysis of human behavior
- Dialog management, natural language understanding, and generation
- Robotic middle-ware and software integration
- Ethics and experimental design
SoRAIM aims to foster discussion between experts in these fields and to expose young researchers and engineers to highly qualified scientists and experts. SoRAIM is organized by the European H2020 SPRING project, which investigates social robotics for multiparty interactions in gerontological healthcare. It will provide opportunity to interact and discuss with several members of the project, to present your own research in the form of a poster, and to participate in wider topic discussions with your peers.
Programme
Sessions, Keynote Talks, and Materials
We are excited to introduce the following keynote speakers together with the title and a short abstract of the courses they will teach at SoRAIM.
Introduction & Demo
Plenary 01: Autonomous Robots: Adaptation and Software Integration
SPRING’s software architecture [Slides, Recording]
Dr. Séverin Lemaignan, PAL Robotics
Autonomous Robots in the Wild – Adapting from and for Interaction [Slides, Recording]
Prof. Marc Hanheide, University of Lincoln (@MarcHanheide)
Abstract: Robots that are released “into the wild” are moving away from the controlled environments and laboratories in which they were developed. They are now forced to contend with constantly changing environments and uncertainty, learn on the job, and adapt continuously and over the long term. The paradigm of long-term autonomy and adaption is what enables the deployment of robots away from factory floors and warehouses where they already are omnipresent into equally challenging and promising application domains. In the winter school course, we will look at how robots can “survive” (operate reliably and effectively) in dynamic environments, ranging from agricultural fields to museums, experiencing slow changes due to seasons and acute uncertainty from interaction with humans. We will look at selected recent robotic developments in mapping, navigation, interaction, and perception and discuss the challenges and opportunities of deploying autonomous robots in the wild.
Bio: Marc Hanheide is a Professor of Intelligent Robotics & Interactive Systems in the School of Computer Science at the University of Lincoln, UK, and the director of the University’s cross-disciplinary research centre in Robotics, the Lincoln Centre for Autonomous Systems (L-CAS). He received the Diploma in computer science from Bielefeld University, Germany, in 2001 and the Ph.D. degree (Dr.-Ing.) also in computer science also from Bielefeld University in 2006. In 2001, he joined the Applied Informatics Group at the Technical Faculty of Bielefeld University. From 2006 to 2009 he held a position as a senior researcher in the Applied Computer Science Group. From 2009 until 2011, he was a research fellow at the School of Computer Science at the University of Birmingham, UK. Marc Hanheide is a PI in many national and international research projects, funded by H2020, EPSRC, InnovateUK, DFG, industry partners, and others, as well as the director of the EPSRC Centre for Doctoral Training (CDT) in Doctoral Training in Agri-Food Robotics (AgriFoRwArdS). The STRANDS, ILIAD, RASberry, and NCNR projects are among the bigger projects he is or was involved with. In all his work, he researches autonomous robots, human-robot interaction, interaction-enabling technologies, and system architectures. Marc Hanheide specifically focuses on aspects of long-term robotic behaviour and human-robot interaction and adaptation. His work contributes to robotic applications in care, logistics, nuclear decommissioning, security, agriculture, museums, and general service robotics. He feat