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Shantanu Parab
Sep 5, 20242 min read
Machine Learning Series - OCTO Whitepaper Review
We explore the paper 'Octo: An Open-Source Generalist Robot Policy,' Â authored by researchers from UC Berkeley, Stanford, Carnegie...
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Shantanu Parab
Aug 27, 20241 min read
Machine Learning Series - BiACT Whitepaper Review
Bi-ACT builds upon ACT with an approach that incorporates both position and force information.
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Shantanu Parab
Aug 27, 20241 min read
Machine Learning Series - ACT Action Chunking Transformers
Imitation learning is essential in robotics for its ability to quickly and safely teach robots complex tasks.
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Shantanu Parab
Aug 27, 20241 min read
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.
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Shantanu Parab
Aug 22, 20243 min read
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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Marc Dostie
Apr 22, 20243 min read
The Future of Robotic Machine Learning Research
Highlighting how researchers and engineers are tackling the challenge of developing and advancing robotic machine-learning.
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Marc Dostie
Apr 12, 20241 min read
What is an Aloha Machine Learning Research Kit?
Our Aloha Machine Learning Research Kits are designed to provide a complete lab in a box for your research needs.
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