gemini-robotics-sdk
SDK for Google DeepMind's Gemini Robotics models providing full lifecycle tooling including checkpoint access, model serving, evaluation, data uploading, finetuning, and an agent framework leveraging the Gemini Live API for physical robot control.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Google DeepMind project with Apache-2.0 license. Access gated through Trusted Tester Program. Dependency management via pyproject.toml with pinned requirements.txt. Security posture benefits from Google's engineering practices but SDK itself has minimal security documentation.
⚡ Reliability
Best When
You're enrolled in Google's Gemini Robotics Trusted Tester Program and need SDK tooling for model serving, finetuning, and agent development on physical robots.
Avoid When
You don't have Trusted Tester access, lack physical robot hardware, or need general-purpose AI capabilities.
Use Cases
- • Serving Gemini Robotics models for inference on physical robots
- • Finetuning robotics models on custom robot data via flywheel CLI
- • Building robotics agents with modular architecture using Gemini Live API
- • Managing robot data logging, uploads, and training pipelines
Not For
- • General-purpose AI/ML tasks unrelated to robotics
- • Teams without Trusted Tester Program access (gated enrollment)
- • Software-only applications with no physical robot hardware
Interface
Authentication
Requires enrollment in Gemini Robotics Trusted Tester Program. Authentication details not publicly documented.
Pricing
SDK is open source. Model access requires program enrollment. Compute costs are user's responsibility.
Agent Metadata
Known Gotchas
- ⚠ Requires Trusted Tester Program enrollment — not publicly accessible
- ⚠ Marked as 'not an official Google product' despite being from google-deepmind org
- ⚠ Active early development — API surface likely unstable
- ⚠ Requires physical robot hardware for meaningful use
- ⚠ On-Device model support only from v2.4.1 onward
- ⚠ Documentation is sparse with 'User guide will be updated with more detailed documentation for testers'
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Scores are editorial opinions as of 2026-03-08.