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Research directions / Robotics & scientific simulation

Find the failure before the field test.

Robotics, simulation, digital twins, and evaluation systems that make physical deployment more dependable.

Bring an idea in this field

Redko Labs research notes · October 13, 2026

Why this field deserves attention

Berkeley BAIR spans planning, control, computer vision, and robotics. Stanford SAIL also brings together learning and autonomous systems research. These communities are a strong fit for technically demanding founder projects.

One company idea to explore

A scenario-testing tool for a narrowly defined inspection robot, connecting simulated failures to a repeatable physical test protocol.

A possible first customer

Robotics teams testing one industrial inspection or laboratory automation workflow.

The first experiment

Select one task and an existing platform. Construct a small, documented scenario set, test against a baseline controller, and measure whether simulation predicts failures on real hardware.

What a founding team might bring

Robotics, controls, computer vision, reinforcement learning, mechanical engineering, and simulation.

What must be resolved

Simulation-to-reality gaps, hardware access, safety, and integration can dominate the schedule. Start with evaluation software and a design partner before committing to a new robot.

This concept is a starting hypothesis from Redko Labs. Bring a different idea, challenge the assumptions, or apply without an idea. The work begins with evidence.

Bring the question.
Build the evidence.

Apply on a rolling basis, with an idea, a company, or the ambition to find your starting point.

Apply to Redko Labs

Sources and research communities

Universities and organizations are independent of Redko Labs. Their inclusion describes public research activity, not a partnership, endorsement, facility entitlement, or recruitment agreement.

See how the curriculum supports this work