Shorten integration cycles
Resolve perception, planning, interface, and environment dependencies earlier in the programme.
Production robotics software
Robominder develops perception, planning, simulation, and integration software for industrial robotic arms and humanoid robots, with each deployment anchored to a clear operational and commercial outcome.

Business outcomes
We define the business decision first, then build the technical capability needed to improve it.
Resolve perception, planning, interface, and environment dependencies earlier in the programme.
Design around uncertainty, recovery, human oversight, and the conditions found in production.
Separate reusable capabilities from site-specific logic to support repeatable deployment.
Use simulation and acceptance testing to prove the workflow before scaling hardware and sites.
What we build
Robominder develops perception, planning, simulation, and integration software for industrial robotic arms and humanoid robots, with each deployment anchored to a clear operational and commercial outcome.
Detect, locate, and track parts, tools, people, and relevant scene state for robotic tasks.
Translate operational goals into safe, feasible robot actions, sequences, and recovery paths.
Develop, test, and validate selected behaviours in digital environments before physical trials.
Connect robot software with sensors, controllers, safety systems, production software, and operators.
Business fit
Industrial arms remain the right answer for many structured tasks. Humanoid robots are emerging for carefully bounded work in human-designed environments. We start with the workflow and economics, then select the software and hardware approach.
Our delivery principles
Where it creates value
Focused applications with a named business owner, measurable acceptance criteria, and a route into day-to-day operations.
Software for picking, placing, palletising, machine tending, inspection, and flexible workcells.
Carefully scoped software pilots for material movement, handling, inspection, and human-designed spaces.
Perception for localisation, pose, quality, scene understanding, and task verification.
Connect robot activity with work allocation, operational systems, monitoring, and exception handling.
How we deliver
A stage-gated path keeps technical ambition connected to operational evidence and commercial value.
Define the task, baseline cost, target performance, constraints, and conditions for a viable deployment.
Build the workcell or environment, test the approach, and identify integration risk early.
Develop the perception, planning, controls, interfaces, and operator workflows around the hardware.
Run acceptance tests, measure the business case, and package proven capabilities for wider use.
Frequently asked questions
Direct answers for teams evaluating the technical and commercial fit.
Robominder develops perception, pose estimation, task planning, motion and workflow logic, simulation, data pipelines, system interfaces, monitoring, and selected edge software for industrial robotic systems.
Our focus includes industrial robotic arms, mobile manipulators, and humanoid platforms. Hardware selection depends on the task, environment, safety case, required performance, and commercial model.
Humanoids are suitable for selected, well-bounded pilots, but they are not yet the best option for every automation task. We evaluate them against proven industrial arms and other automation so the deployment choice remains commercially grounded.
Robominder is focused on software and system integration. We work with selected robot, sensor, controller, and simulation technologies to deliver the required physical workflow.
Start with one valuable task, measurable acceptance criteria, representative conditions, and a clear owner. We use discovery and simulation to decide whether a physical pilot is justified before expanding scope.
Start with one valuable workflow
Tell us the physical task, the current constraint, and the outcome you need. We'll help determine whether a focused discovery or pilot has a credible business case.