Robotics deployment rescue

Your robot works in the lab. Why not in the real world?

I get stuck robotics projects moving again. No endless meetings, no perfect architecture that never runs. I find what's actually broken, get a rough version working fast, and we build from there.

/The problem

Most robot projects don't get stuck because the problem is hard. They get stuck because teams overcomplicate it.

A robot that works in a demo and a robot that works in the real world are two different things. Teams disappear into complexity, chase the perfect setup, and burn through the deadline while nothing actually runs.

I've spent my whole career in that gap. I know why robots don't make it out of the lab, and I know how to get them out.

/Who this is for

You bought a robot. Now it sits in a closet.

A lot of robots get bought as a development or research platform, run once or twice, and then stop. The demo never quite worked. The person who knew it moved on. The project lost its slot on the roadmap. Now it sits in a corner, switched off.

That robot can still do the job you bought it for. I get idle and half-finished robots running and earning their keep.

  • Research labs
  • Universities
  • Hospitals
  • Water authorities
  • Government agencies
  • Defense teams

/What I do

I find what's broken, get it working, and build from there.

Quick and dirty first if that's what it takes. A version that runs beats a clean one that doesn't.

01Working beats perfect

A rough version that runs is worth more than a beautiful one that doesn't. Get it working, then make it good.

02Cut the complexity

Most stalls are over-scoping, not hard problems. I strip it back to what actually has to work.

03Hands on, not hands off

No slide decks, no list of recommendations to hand off. I get into the hardware and the code and fix it.

04I leave when it's done

I get it moving, hand it back to your team, and go. No permanent overhead, no empire building.

Who I am

Alex Andriën

Robotics control and deployment specialist. Real-time control, estimation, sensor fusion, and the messy work of making robots actually run outside the lab.

PhD, Eindhoven University of Technology (TU/e)
Optimization-based estimation and control for autonomous robots.
Control lead, Avular
Autonomous mobile robots and drones.
Control lead, Microsure
High-precision medical robotics.
Mechatronics, MIT
Lab and teaching work in mechatronic systems.

// estimation · control · sensor fusion · sim-to-real · deployment

/How it works

Three steps. Start small.

Start with a call, keep the scope tight, and go bigger only if it's a fit.

0130 min
Get to know each other
Free

A short call about your robot, what's blocking it, and your deadline. No pitch. We work out whether I'm the right guy for it.

021 day
One day, on site
€750

I spend a day with your team and your robot. By the end you get a straight answer on what's actually wrong, and a plan to fix it with timeline and cost. That's it. No strings.

03scoped
The fix
fixed term

If it's a fit, we scope it: clear end date, weekly progress you can see. I get it shipped and hand it back.

Call Diagnosis Shipped

/What I need from you

To work fast I need a clear mandate: direct access to your engineers and the authority to make the technical calls. Whoever you are, we agree on that up front, in writing if that's how you work.

In return you get someone who tells you straight what's going on, even when it's not what you want to hear, and gets the thing finished.

/Get in touch

Robot stuck? Let's talk.