We explore the paper 'Octo: An Open-Source Generalist Robot Policy,'  authored by researchers from UC Berkeley, Stanford, Carnegie...

Bi-ACT builds upon ACT with an approach that incorporates both position and force information.

Imitation learning is essential in robotics for its ability to quickly and safely teach robots complex tasks.

Auto Encoders, VAEs, and CVAEs in robotic machine learning help reduce data complexity, generate new data, and improve precision.

Imitation learning (IL) enables robots to mimic human actions, evolving from basic Behavior Cloning to advanced methods like Deep Imitation.

Highlighting how researchers and engineers are tackling the challenge of developing and advancing robotic machine-learning.

Our Aloha Machine Learning Research Kits are designed to provide a complete lab in a box for your research needs.