Name: Recent advancements in robot systems deployment
Start: 2024-03-28T10:00:00-07:00
End: 2024-03-28T11:00:00-07:00

The field of robotics has recently witnessed a significant influx of learning-based methodologies, revolutionizing areas such as manipulation, navigation, locomotion, and drones.

This talk aims to delve into the forefront of robot learning systems, particularly focusing on their scalability and deployability to open-world problems, through two main paradigms of learning-based methods for robotics: reinforcement learning and imitation learning.

Sophia Aryan

BuzzRobot

Technology

Artificial Intelligence

Machine Learning

Data Science

Deep Learning

Data Science using Python

Deep Reinforcement Learning

Machine Learning with Python

Computer Programming

Programming Languages

Open Source Python

JavaScript

Golang

Open Source

Zipeng Fu is a CS PhD student at Stanford AI Lab, advised by Chelsea Finn. His research focuses on deployable robot systems and learning in the unstructured open world. His representative work includes Mobile ALOHA, Robot Parkour Learning, and RMA, receiving CoRL 2023 & 2022 Best System Finalist awards. 

Previously, he was a student researcher at Google DeepMind. He completed his master's at CMU and bachelor’s at UCLA.

BuzzRobot

Recent advancements in robot systems deployment

BuzzRobot

Details

Members are also interested in