Why does a software company care about physical self-repairing robots?

Azati spends its days getting software agents to notice they're broken, recover, and keep going without human babysitting. Physical self-repair makes the underlying autonomy question louder for software teams working on the same problem.

How much autonomy should a system actually be given?

Azati asks how much autonomy a system should have before "it fixed itself overnight" stops sounding like good news. This tension is exactly what agentic AI engineering, including guardrails, sandboxing, and agent stabilization, exists to manage.

Is self-repairing hardware just an evolved form of maintenance?

Azati notes that self-healing materials have been a robotics goal for years, and a machine swapping its own broken part is a genuine resilience win. Fewer truck rolls matter enormously for factories and space missions relying on this kind of autonomy.

Why might this be closer to growing than fixing?

Azati points out that a system opportunistically acquiring components to outperform its previous self resembles growing more than repairing. That reframing is a bigger idea to sit with than simple maintenance, and it's a slightly different engineering problem.

Is a Robot That Fixes Itself Repairing – or Upgrading Itself?

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August 17, 2026

Is a Robot That Fixes Itself Repairing – or Upgrading Itself?

Andrew Babkin

Managing Director & CTO, Azati

Quick answer: Great, the robots have discovered how to repair themselves. Next standup they’ll be asking for a raise and a second monitor. Researchers at Columbia built modular robots ("Truss Links") that rebuild themselves by grabbing spare parts from their environment. Here’s the unsettling detail: a tetrahedron-shaped robot grabbed a spare link, used it like a walking stick, and improved its downhill speed by about 66%. It didn’t just fix a failure, it used the failure to get better. So the honest answer to "repair or upgrade?" is: the line between them turns out to be surprisingly thin.

One view: this is just maintenance, evolved

Self-healing materials have been a robotics goal for years; a machine that swaps its own broken part is a resilience win – fewer truck rolls, huge for factories and space missions.

The other view: it’s adaptation, not repair

A system that opportunistically acquires components to outperform its previous self is closer to growing than fixing. That’s a different idea, and a slightly bigger one to sit with.

Why a software shop cares

We spend our days trying to get software agents to do the tame version of this: notice they’re broken, recover, and keep going without a human babysitting them. Physical self-repair just makes the question louder: how much autonomy do you actually want a system to have before "it fixed itself overnight" stops being good news? That tension is exactly what agentic AI engineering – guardrails, sandboxing, agent stabilization – exists to manage.

FAQ

What did the Columbia self-repairing robots actually do?

Their "Truss Link" modules self-assembled into shapes and absorbed spare parts to rebuild and improve – one gained ~66% downhill speed by adding a link as a walking stick.

Is self-repair the same as self-improvement?

Not quite, and that’s the point – a robot that acquires parts to perform better is adapting, which raises harder autonomy and control questions than simple repair.

Deploying autonomous agents you need to keep on a leash?

Let’s talk guardrails

Adapted from a LinkedIn post by Andrew Babkin, Managing Director & CTO at Azati – read the original, on Columbia University’s "Robot Metabolism" research (Science Advances).