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Machine Learning Series - ACT Action Chunking Transformers
Imitation learning is essential in robotics for its ability to quickly and safely teach robots complex tasks.
Shantanu Parab
Aug 27, 2024
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.
Shantanu Parab
Aug 27, 2024
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.
Shantanu Parab
Aug 22, 2024
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