📅 ⏱ 4 min. read

Understanding AgileCore: AI-Powered Platform for Robotic Automation

AgileCore is Agile Robots' AI-driven automation platform that unifies perception, control, and orchestration for industrial robots.

Understanding AgileCore: AI-Powered Platform for Robotic Automation

Who uses AgileCore? — A platform for three roles

AgileCore targets three discrete users. Each role gets focused tools and responsibilities.

Role Description Primary goal
Solution Developer Develops algorithms and advanced skills (vision, control). Implement new capabilities and integrate models.
System Integrator Deploys and configures automation on the floor. Rapidly deploy and orchestrate multi-device workflows.
Operator Runs and monitors the system day-to-day. Operate reliably and maintain uptime.

Tools are delivered per role to reduce handoffs and eliminate integration friction.


Tailored features

For the Solution Developer

  • SDKs and skill interfaces for packaging algorithms as reusable modules.
  • Direct integration points for vision models and control stacks.

For the System Integrator

  • Drag-and-drop workflow editor enabling complex orchestration without low-level coding.
  • Built-in device adapters and communication middleware to shorten commission time.

For the Operator

  • Customisable HMIs and dashboards.
  • Operational analytics and status alerts for effective monitoring.

These features expose the same abstractions to all roles, reducing translation errors between teams.


Core concepts: reusability and AI

Reusable skills

  • Functionality is packaged as self-contained "skills."
  • Integrators assemble solutions by composing skills rather than rewriting code.
  • Benefit: compounding value. Each project reduces time-to-market for the next.

Deep AI integration

AI is embedded at multiple layers:

  1. Platform skills — AI-enhanced modules (e.g., vision for small-part detection) replace brittle classical approaches.
  2. User experience — Natural-language assistants and chat interfaces reduce the need for manual programming.
  3. Autonomous solutions — End-to-end models can be integrated when full autonomy is required.

The result is shorter development cycles and higher robustness for perception-heavy tasks.


Case study: Robotik Challenge 2025

At ARENA2036 AgileCore enabled the winning solution in the fastest cycle time / economic efficiency category for automotive wire-harness assembly. Key contributions:

  • Central connector: unified robots, sensors, and a third-party AGV (BÄR Automation) under one platform — removed bespoke middleware work.
  • Advanced vision skills: AI-based detection solved crimp insertion for very small cable ends.
  • Synchronized operation: orchestrated parallel, synced motion between two robots for speed and precision.
  • Efficiency gains: reusable skills and platform abstractions freed engineering time for process optimization rather than low-level glue code.

This demonstrates how a skill-based, AI-first platform reduces integration cost and improves throughput.

TL;DR

  • Single-platform lifecycle management: development → deployment → operations.
  • Accelerated innovation: reusable assets compound across projects, lowering TCO.
  • Cross-disciplinary collaboration: shared interfaces for vision experts, integrators, and control engineers.
  • Open, extensible architecture: integrates third-party hardware and software to future-proof automation.