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Safely governs AI commands for physical robot arms.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Safe Hands" yet — see the docs or source repo.
Use Safe Hands to check whether this robot-arm command is safe and compliant: move quickly through a human-occupied area and pick up an object. If it is not compliant, explain why and suggest a safer alternative action.
A permit/deny result, the safety reason for rejection, and a safer alternative.
I need an authorization policy approach for a robot arm: limit out-of-bounds movement, dangerous speed, and unauthorized grasping actions. Please propose a solution aligned with Safe Hands' safety-governance goal.
A policy design approach that can constrain robot-arm commands.
Researchers or developers can use it when an AI agent needs to control a physical robot arm. It adds policy-based authorization checks to block dangerous commands and reduce misuse.
In factory or automation settings, robot-arm commands need strict constraints. This tool helps filter unsafe actions before execution.
When teams connect LLMs to physical devices, they need an extra safety layer to constrain behavior. Safe Hands is suited to act as that guardrail.
It is an MCP server that uses Cedar authorization policies to govern AI-agent commands for physical robot arms. Its goal is to prevent unsafe actions with strong safety constraints.
It provides safety review and authorization control when AI drives physical robot arms, preventing dangerous or unauthorized actions. It shifts the “can this be done?” decision to the policy layer.
The provided information only says it works as an MCP server and uses Cedar authorization policies. For specific installation, configuration, or runtime requirements, see the source repository.
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