Towards Generalist Robot Learning from Internet Video: A Survey

no code implementations • 30 Apr 2024 • Robert McCarthy, Daniel C. H. Tan, Dominik Schmidt, Fernando Acero, Nathan Herr, Yilun Du, Thomas G. Thuruthel, Zhibin Li

This includes a discussion of the exciting benefits LfV methods can offer (e. g., improved generalization beyond the available robot data) and commentary on key LfV challenges (e. g., challenges related to missing information in video and LfV distribution shifts).

Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory

1 code implementation • 6 Jun 2023 • Daniel C. H. Tan, Fernando Acero, Robert McCarthy, Dimitrios Kanoulas, Zhibin Li

To address this, we propose a new approach to apply verification methods from control theory to learned value functions.

Reinforcement Learning (RL)

Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough

no code implementations • 5 Jan 2022 • Esin Darici Haritaoglu, Nicholas Rasmussen, Daniel C. H. Tan, Jennifer Ranjani J., Jaclyn Xiao, Gunvant Chaudhari, Akanksha Rajput, Praveen Govindan, Christian Canham, Wei Chen, Minami Yamaura, Laura Gomezjurado, Aaron Broukhim, Amil Khanzada, Mert Pilanci

The Covid-19 pandemic has been one of the most devastating events in recent history, claiming the lives of more than 5 million people worldwide.

COVID-19 Diagnosis Self-Supervised Learning