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Evasive Robotics

Evasive Robotics develops EvaLib, a multi-robot motion planning library designed for collaborative operation within shared workspaces. This software enables automatic, collision-free path planning and optimization for any kinematic structure, focusing on outcome-driven programming. The technology facilitates higher robot density, dynamic reconfiguration, and reduced setup time in automated manufacturing environments.

Dresden, Germany171K+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Manufacturers deploying multiple robots in a shared workspace face limited floor space, rigid fixture requirements, and time‑consuming programming and calibration processes that hinder flexibility and increase integration costs.

Solution

EvaLib is a multi‑robot motion‑planning library that enables outcome‑driven programming by letting users define relative movements between tools, parts, and robots—similar to CAD assembly constraints. The library automatically generates collision‑free trajectories, optimizes them for time and space, and executes the plans in real time. Its Partial Task Programming (PTP 5.0) engine uses constraint‑based, relative programming instead of absolute point‑to‑point commands, allowing rapid reconfiguration of cell layouts without physical fixtures. EvaLib also provides automatic multi‑robot calibration and adaptive motion for cognitive robots, reducing setup time and engineering effort while increasing robot density in the production line.

Target Audience

Primary customers are manufacturing system integrators and robotics engineers who need flexible, high‑density multi‑robot automation for applications such as fixtureless assembly, collaborative bin picking, and multi‑robot palletizing.

Features

  • Constraint‑based programming model (PTP 5.0) that defines robot actions through relative task constraints rather than fixed coordinates.
  • Real‑time, collision‑free path planning for any number of robots with arbitrary degrees of freedom, leveraging fast optimization algorithms.
  • Automatic multi‑robot calibration module that synchronizes robot kinematics without manual fixture setup.
  • Adaptive motion control for cognitive robots, enabling reactive behavior in dynamic environments.
  • Vendor‑agnostic integration layer that connects to existing robot controllers and middleware via standard APIs.
  • Dynamic cell reconfiguration support, allowing layout changes and new part introductions without re‑programming the entire system.
  • Scalable architecture (RoboSphere) that coordinates robots in tightly packed workspaces while maintaining deterministic safety guarantees.
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