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Autonomy

Nov 15, 2024 - blog.comma.ai
The article discusses the progress made by the autonomy team at comma.ai in developing autonomous driving technology. The team's primary focus is on building the world's best Advanced Driver Assistance Systems (ADAS) using generic learning methods. They have collected millions of miles of human driving data to train their machine learning system. Their product, openpilot, now drives over 50% of miles of their fleet of 10k+ devices. The team has achieved end-to-end lateral and longitudinal control, and they are working on improving the quality of their driving simulator and incorporating Reinforcement Learning into their models.

The article also outlines the future plans of comma.ai. They aim to ship a model trained in a new architecture by October 2024 and eventually allow on-device Reinforcement Learning training. The team believes that their generic learning strategies can be applied beyond driving to all of robotics, with the goal of creating open-source robots that can perform household tasks.

Key takeaways:

  • The autonomy team at comma.ai is focused on building open-source robotic agents, with their main product being an advanced driver-assistance system (ADAS).
  • The team has achieved end-to-end lateral and longitudinal control in their driving models, and has also experimented with end-to-end navigation, although this feature was temporarily removed to focus on improving the longitudinal policy.
  • Comma.ai is developing a new simulator using a generative model to improve the training of their driving models. They also plan to incorporate Reinforcement Learning (RL) to optimize their models and controllers.
  • The methods used by comma.ai are not specific to driving and can be applied to other areas of robotics. The company envisions creating open-source robots for household tasks in the future.
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