
Robot Games 2026: from competition to useful work
What robot competitions reveal—and what a real production task still needs to prove.
Read insight ↗COCON FIELD NOTES / 34 INSIGHTS
Robots in ports, farms, mines and workplaces. Explore the original evidence, understand the limits, and find a workflow worth testing.
Explore insights ↓Move containers from quay to yard along a controlled route.
Explore workflow ↗02Capture high-wall imagery for engineering review.
Explore workflow ↗03Start with harvest transport; autonomous harvesting still needs R&D.
Explore workflow ↗04Assess one logistics route and its operating requirements.
Explore workflow ↗05Explore a private route with a handler; autonomous pet walking remains unverified.
Explore workflow ↗Each article distinguishes deployed systems, commercial products and research. Practical applications, with links to the original evidence.

What robot competitions reveal—and what a real production task still needs to prove.
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Use visible robot capabilities to design a better acceptance test.
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How vision, instructions and physical control fit together.
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Use simulation to prepare a physical pilot.
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A practical route into learning from robot demonstrations.
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What a documented factory pilot can teach another operation.
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A tote transfer becomes part of an existing logistics workflow.
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Fleet performance depends on how robots share space.
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Assess the cartons and the downstream process together.
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Make inspection evidence repeatable and actionable.
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An interesting experiment with an unresolved operating challenge.
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Part sequencing connects perception, handling and whole-body control.
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The vehicle, crane and terminal systems need to work together.
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Turn aerial imagery into repeatable inspection evidence.
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Automate a defined yard movement before expanding the scope.
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Central coordination is part of the operating system.
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Connect the drilling plan with measurable field execution.
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A practical task to separate from autonomous cutting.
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Several difficult capabilities must work as one system.
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A research instrument needs a validated field workflow.
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Build a workflow around the flight and its findings.
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A reliable handover matters as much as the flight.
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Start with a defined delivery need and handling process.
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Get useful visual evidence before deciding the next action.
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Evaluate a farming platform against a specific crop and task.
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Match the implement and the field as carefully as the robot.
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Assess the complete farming system behind the laser.
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Measure the cleaning problem before automating the routine.
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A stable transfer task makes the first pilot easier to measure.
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Loading and unloading need reliable machine handshakes.
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Define the cleaning route and the quality standard together.
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Design the receiving station as well as the route.
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Connect sensor readings with maintenance action.
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Collect underwater evidence for a qualified inspection decision.
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A shortlist for distribution and integration research. Local supply and support need validation; inclusion does not establish exclusivity or stock availability.
Test one growing bed and implement. Validate field fit, servicing and spare parts.
Precision weeding. Validate crop layout, field conditions and the service network.
Laser weeding. Evaluate crop fit, row spacing, farm scale and the business case.
Solar-farm cleaning. Validate module geometry, rainfall and soiling conditions.
Jetty and hull inspection. Test currents, visibility and reporting quality.
Naïo public dealer page ↗ · Reviewed 7 September 2026