Aloha is now fully compatible with LeRobot from Hugging Face

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Exploring Precision with Peg-Insertion Using Bimanual Robots: An Experiment with the ACT Model

Shantanu Parab

Sep 19
4 min

Exploring Precision with Peg-Insertion Using Bimanual Robots: An Experiment with the ACT Model

Discover how bimanual robots use the ACT model for precision peg-insertion. 80% success rate! Access datasets & models on Hugging Face.

Announcement: The Future of Agnostic Robotic Machine Learning is Here with Trossen Robotics and Hugging Face

Marc Dostie

Sep 16
2 min

Announcement: The Future of Agnostic Robotic Machine Learning is Here with Trossen Robotics and Hugging Face

We are thrilled to announce full support for LeRobot with our Aloha Robotic Machine Learning Kits, now available on Hugging Face!

The Rise of Diffusion Models in Imitation Learning

Shantanu Parab

Sep 13
5 min

The Rise of Diffusion Models in Imitation Learning

Discover how diffusion models in imitation learning help robots mimic human actions, handle noise, and perform complex tasks efficiently.

Machine Learning Series - Crossformers Whitepaper Review

Shantanu Parab

Sep 11
1 min

Machine Learning Series - Crossformers Whitepaper Review

CrossFormers introduce a transformer-based policy that can control a wide variety of robots across different tasks, including manipulation,

Machine Learning Series - OCTO Whitepaper Review

Shantanu Parab

Sep 5
2 min

Machine Learning Series - OCTO Whitepaper Review

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

The Impact of Data Quality on Training Imitation Learning Models: Experiments with the Aloha Kit

Shantanu Parab

Sep 3
3 min

The Impact of Data Quality on Training Imitation Learning Models: Experiments with the Aloha Kit

Discover how variations in data collection impact imitation learning with the Aloha Kit. Explore experiments and access datasets on Hugging

Machine Learning Series - BiACT Whitepaper Review

Shantanu Parab

Aug 27
1 min

Machine Learning Series - BiACT Whitepaper Review

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

Machine Learning Series - ACT Action Chunking Transformers

Shantanu Parab

Aug 27
1 min

Machine Learning Series - ACT Action Chunking Transformers

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

Machine Learning Series - Encoders | Auto, Variational and Conditional

Shantanu Parab

Aug 27
1 min

Machine Learning Series - Encoders | Auto, Variational and Conditional

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

Revolutionizing Robot Behavior: How Transformers Elevate Imitation Learning with Action Chunking

Shantanu Parab

Aug 22
3 min

Revolutionizing Robot Behavior: How Transformers Elevate Imitation Learning with Action Chunking

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

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