Sidekick Robot ML Update #1
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. Starting from baseline, our mighty team successfully trained the system to expert-level execution over 10,000 steps.
This isn't just progress - it's validation that we can teach robots to master complex skills with incredible precision.
The implications:
Reliable robotic capabilities you can actually deploy and trust.
Stay tuned for Update #2, where we're going to run this algorithm on different tasks! 🚀
#RobotLearning #AI #Stanford #Robotics #TechUpdate
References
- Stanford University, AI Foundation Models, https://hai.stanford.edu/topics/foundation-models
About Sidekick Robotics
Sidekick Robotics is creating the AI Sidekick for Physical Work -- robots that learn and perform the complex tasks that keep hospitals and care communities running. We're tackling the healthcare labor shortage by reducing burnout, turnover, and rising costs, so caregivers can focus on what matters most: patients.
Media Contact: founders@sidekickrobotics.ai