The checklist's first item is a sentence the committee must finish: these robots exist so that named courses, research groups and competition teams can do named things. A humanoid bought for embodied-AI research needs degrees of freedom, compute and developer tooling; one bought for K-12 outreach needs robustness, safety and twenty-minute setup; a quadruped bought for an inspection curriculum needs payloads and route software. Institutions that cannot finish the sentence are not ready to evaluate platforms - and suppliers who rush them past it are selling, not advising.
Start With the Programme, Not the Robot
Write the use cases with their owners in the room: the lecturer whose course must run in week three, the researcher whose experiments define the sensor list, the technician who will maintain the fleet. Their constraints - room size, session length, student numbers, supervision ratios - become the specification. Every later checklist item is just these constraints made testable.
Platform Criteria That Survive Contact With Students
Judge the hardware against the programme's verbs. Degrees of freedom and expandability decide what can be taught and researched; on-board AI compute decides whether modern policy work happens on the robot or is exiled to workstations; endurance must cover a full teaching session plus margin, because a robot charging during the lab is a lab cancelled. Survivability is a specification: fall recovery, spare-part availability and the cost of the inevitable student-induced incident belong in the evaluation table next to the TOPS figure.
Insist on demonstrations matched to your use cases, with your constraints named aloud: the robot recovering from a fall on your floor type, a class-set workflow timed end to end, the actual developer environment opened and used. Booster's guidance for exactly this evaluation is published in our university laboratories solution and the Booster K1 and T1 pages - criteria first, catalogue second.
The Software and Curriculum Layer Decides Utilisation
Universities rarely underuse robots because the hardware disappointed; they underuse them because nobody had time to build the teaching material. The procurement must therefore price the invisible layers as line items: developer tools, simulation environment and RL framework; laboratory curricula mapped to your courses; teacher training until your staff can run sessions unaided; and the certification or competition structures that give students a reason to return. A cheaper robot without these layers is the most expensive outcome in the catalogue - capital equipment as furniture.
Booster's laboratory builds are specified this way deliberately: robots, the three lab types (structure and principles, simulation and development, industry-specialised), curriculum development, teacher training and competition practice as one programme with phased options. When comparing bids, normalise for these layers - require every bidder to quote them, or to state in writing that they are excluded, so the committee compares systems rather than chassis.
Compliance, Service and the Paperwork That Protects You
Certifications are procurement items, not marketing badges: the destination market's required marks for the machine and its battery transport documentation should be evidenced by certificate lists per model before contract, not promised after it. Booster's T1, for reference, carries CE, FCC, CB, KC, MIC, WPC and UN38.3 - the level of documentation a committee should expect to see itemised. Service terms deserve the same rigour: spare-part lead times, remote diagnostics, warranty scope, and who provides first-line support in your country.
Finally, write the acceptance test into the contract: the named behaviours, on your premises, within a set window after delivery, with remedy terms attached. Suppliers who ship working systems welcome acceptance tests; they are how good vendors prove what brochures claim. Total the whole commitment - robots, software, training, service, spares - across three years before comparing headline prices; the companion analysis in our news archive on total cost of ownership works through that arithmetic.
The Short Version
Define the programme and its owners. Specify from use cases. Demonstrate under your constraints. Buy the software, curriculum and training layers explicitly. Evidence certifications per model. Contract the acceptance test. Budget three years, not one invoice. Followed in order, this checklist will help you buy humanoid robot for laboratory programmes that compound in value - and it filters out, early and cheaply, the purchases that would not.
