Last week, Wednesday 24th April 2024, Dr Dmitry Kangin jointly organised an online workshop with the Royal Institute of Technology (KTH), the University of Helsinki and PAL Robotics on Safe and Privacy-Preserving Robot Learning in Human-centric Environments. This webinar was about privacy-preserving machine learning for robotics in human-centric environments. This webinar features four keynote presentations, covering a spectrum of critical topics including advanced robotic control, safe reinforcement learning, and the cutting-edge developments in both privacy-preserving and interpretable machine learning.

Title: Safe and Privacy-Preserving Robot Learning in Human-centric Environments

Date and venue: Wednesday, 24 April, 2024, online

Agenda

9:00 — 9:15 Welcome and Introduction

9:15 — 9:45 Chris Pek (Delft University of Technology) Title TBD (20 mins talk + 10 mins Q&A)

9:45 — 10:15 Dmitry Kangin (Lancaster University) Towards interpretable-by-design machine learning (20 mins talk + 10 mins Q&A)

10:15 — 10:30 Break

10:30 — 11:00 Joonas Jälkö (University of Helsinki) Privacy-preserving machine learning (20 mins talk + 10 mins Q&A)

11:00 — 11:30 Thomas Peyrucain (PAL Robotics) Robotics in human-centric environments (20 mins talk + 10 mins Q&A)

11:30 — 11:40 Concluding remarks