03 June 2024
EMERGE partners from TUDelft are organising the “Workshop on Structural Priors as Inductive Biases for Learning Robot Dynamics” during the 20th Robotics: Science and Systems (RSS) Conference, to be held in Delft, Netherlands, on July 15th, 2024.
Machine learning has ushered in unprecedented advancements across a myriad of domains, from speech recognition and image processing to gaming, largely due to its ability to discover complex patterns in abundant data. However, when applied to modelling and control of robots operating in the real world, these conventional machine learning techniques confront unique challenges in terms of (1) data scarcity, (2) generalizability, and (3) safety.
How do we overcome these challenges to build reliable robotic systems that operate in the real-world?
Encoding known structure improves generalization, reduces sample complexity, and allows for greater interpretability. This workshop aims to foster collaboration between robotics researchers, experts in learning priors, and specialists in dynamics and control. We aim to answer outstanding questions related to learning robot dynamics by tailoring the panel session and workshop discussions around the following themes:
The deadline for paper submission is June 11th, 2024.
More information in the link below.
More Information
