🔁 Sidekick Learning Loop
Introducing the Sidekick Learning Loop - Reinforcement Learning in the Real World.
Introducing the Sidekick Learning Loop - Reinforcement Learning in the Real World.
An open challenge to map the behaviors and limits of prompted Vision Language Action models.
How we solved the compute war inside the robot to achieve 70x faster performance.
Building the reinforcement learning feedback loop that transformed language models, now for physical robots.
From Stanford dorm room to the future of physical AI.
Two Stanford students discovered a shared vision in 2025 that would become Sidekick Robotics—building the AI Sidekick for Physical Work.
Expanding beyond healthcare to transform physical automation across industries.
Physical labor constrains cost and quality across industries. Sidekick is building a general-purpose AI platform for physical work that scales broadly.
Every hero has a sidekick—dependable, supportive, and ready when it matters most.
Our promise: The AI & Robotics Company You Can Trust™. We're opening our Customer Pilot Program to partner with communities in shaping the next generation of robotics.
We're pushing the frontier of how robots learn from humans. Sharing a milestone in our journey to make learning-from-experts work in the real world.
Our robot's behavior is now nearly indistinguishable from expert demonstrations in simulation! This week, our team got Sidekick 1.0's algorithm to imitate an expert benchmark at 95% fidelity - leading our physical AI agent to cross a major milestone in robot learning.
The unsolved problem in robotics research that will unlock human-level physical task execution.
We're introducing Long Horizon Dexterous Reasoning™ as the definitive term for this breakthrough capability because this represents the next major frontier in robotics research. The field is converging on this challenge, and we believe this terminology will be adopted broadly as teams tackle the problem.
Sidekick Robotics today announced that it has officially relocated its headquarters from Stanford, California to Los Angeles, California. This strategic move reflects both the company's roots and its vision for the future.