Seminar series
Robot Learning Seminar Series
July 10-27, 2026
Posted July 14, 2026
Join three July seminars exploring physical AI, scalable open-set autonomy, and human-centric robot autonomy with speakers from NVIDIA, KTH, and UTN.
The IEEE RAS Technical Committee on Robot Learning invites the community to a new seminar series featuring leading scientists and industry experts.
The series explores emerging directions in embodied AI, robot learning, physical AI, and the translation of advanced AI technologies into capable real-world systems.
Physical AI for the Next Wave of Industrial Digitalization
- Speaker: Dr. Tomasz Bednarz, Director of Strategic Researcher Engagement, Developer Programs, NVIDIA, USA
- Date: July 10, 2026
- Time: 10:00-11:00 a.m. AEST (UTC+10)
Toward Scalable Open-Set Autonomy in Real-World Environments
- Speaker: Prof. Olov Andersson, Assistant Professor, KTH Royal Institute of Technology, Sweden
- Date: July 21, 2026
- Time: 10:00-11:00 a.m. AEST (UTC+10)
Embodied Spatio-Temporal AI for Human-Centric Robot Autonomy
- Speaker: Prof. Lukas Rosenberger Schmid, Tenure-Track Professor of Machine Intelligence, UTN, Germany
- Date: July 27, 2026
- Time: 10:00-11:00 a.m. AEST (UTC+10)
The seminars are open to all IEEE RAS Technical Committee on Robot Learning members, and membership is free. Join the Technical Committee on Robot Learning to take part.
Access links and further details for each seminar will be shared directly with members.