Agentic Arm APIs: Bounded Tools, Approvals, and Recovery
Give an agent useful skills without unrestricted actuator access. Design narrow tools, reviewable plans, and honest outcomes.
THE ARM LAB / CATEGORY: AI & AGENTS
Connect perception and planning to explicit authorization, bounded tools, and evidence-based outcomes.
An intelligent workflow becomes easier to inspect when each stage has a named responsibility. Observations describe evidence. A planner proposes an action. Authorization determines whether a particular operation is permitted. Verification checks what actually happened.
Begin with the AI robotic arm guide for scene context, perception limits, and proposed motion. Continue to the agentic API guide for structured tools, context-bound approval, and recovery after uncertain outcomes. Neither guide assumes that natural-language instructions can replace independent enforcement.
Use this collection when designing the interface around an agent rather than searching for a single model that solves every boundary. The AI robotic arm overview and agentic arm overview provide separate entry points. Cross-reference motion planning when proposals depend on geometry, or API design when permissions and task state need a concrete contract. The site’s browser illustration does not run an AI model or autonomous hardware agent.
Give an agent useful skills without unrestricted actuator access. Design narrow tools, reviewable plans, and honest outcomes.
Connect perception, scene state, planning, and execution without treating an AI prediction as permission to move.
A little code. A lot to explore.
Start in the browser. Understand the interface. Build with clearer boundaries.