Sidekick Robotics has launched a Team beta that combines shared model development, reinforcement learning and fleet coordination for small robotics groups. The company announced the plan on November 4 at $12 per person per week, with support for up to 10 people and 10 robots.
Teammates can access a common workspace containing models that colleagues have trained, fine-tuned or aligned. Sidekick says engineers can deploy, evaluate and refine those models without transferring their weights between separate environments, reducing repeated work across the group.
The plan also supports online reinforcement learning on physical robots. Operators can mark an episode as successful or unsuccessful and adjust rewards during training. According to Sidekick, the process preserves the original policy weights while saving updated checkpoints as the model changes.
Team extends the company’s individual Builder tier, which starts at $7 per week. Its emphasis on shared workflows adds another infrastructure option alongside services such as Physical Intelligence’s Pi API, which focuses on robot-model training and inference.
A separate continuous-learning feature called Flywheel remains in alpha and is undergoing internal tuning before release on Team. Developers should therefore distinguish the beta’s current training and coordination tools from the planned ability to keep learning during deployment.
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