Happy and honored to participate to the Archimedes Talks Series, discussing about “Foundation Models in robotics”.
Date and connection details (for remote participation) provided below.
The talk will concentrate on holistically investigating the usage of Foundation Models (FMs) in the field of robotics, emphasizing on the following key topics:
✅ Introduction to the fundamental principles and concepts regarding FMs
✅ Evolution in robotic FM research, including both existing (CV & NLP fields) and robotics-specific FMs
✅ Investigation of main FM learning methodologies, including pre-training, fine-tuning, reinforcement learning and imitation learning
✅ Outline of robotic tasks implemented using FMs, including perception, navigation, control, planning, reasoning, and human-robot interaction
✅ Review of current challenges and future research directions in the field
✅ Brief overview of HUA computer vision group ongoing robotics RnD projects TRIFFID Project and TORNADO EU project
