Laboratories: sample and instrument handling
Transfer a bounded set of sample containers between known instruments.
Task and scope
Transfer a bounded set of sample containers between known instruments. Define inputs, outputs, exceptions and the human handoff before requesting demonstrations. Keep the first deployment narrower than the full business process.
Required operating conditions
Container geometry, contamination control, sample identity and instrument interfaces. Record the actual operating envelope with photographs, dimensions and interface documentation. Treat missing specifications as unverified.
Candidate approaches
Compare a conventional fixed-automation approach, an off-the-shelf robot with an integrator, and a research-oriented learning stack where justified. Choose the least complex approach that can meet the task constraints. Directory resources below are research candidates, not a confirmed compatible bill of materials.
Pilot plan
Use surrogate non-hazardous samples first and reconcile identifiers at every transfer. Agree a baseline, a stop condition and an owner for each exception. Include normal operation, deliberate faults, recovery and shift-change handoffs.
Acceptance and measurement
Transfer failures, sample mix-ups, contamination events and operator interventions. Agree denominators and sampling conditions in advance. Report failed attempts and interventions alongside successful cycles. Do not extrapolate a vendor demonstration or simulation score into site performance.
Integration and safety review
Identify control interfaces, power, networking, guarding, access control and responsibility for stopping and restarting equipment. Have the site and qualified integration team determine applicable local requirements before physical trials. This guide is a planning aid, not a safety assessment or certification.
Cost and business case
Include hardware, end tooling, fixtures, integration, training, maintenance, consumables, downtime and exception handling. Compare measured pilot results with the current process. No return-on-investment estimate is implied by directory inclusion.
Failure modes and limits
A robot demonstration does not establish clinical validation, sterile operation or suitability for hazardous substances.
Questions for suppliers
Ask for the exact hardware and software versions used in the demonstration, a comparable deployment reference, supported service regions, training requirements, warranty exclusions, response times and an itemized pilot scope. Ask which capabilities have been measured independently and which remain assumptions.
Prepare the next decision
Create a shortlist with inclusion reasons, exclusion reasons, evidence links and unresolved questions. First confirm task suitability, then interface compatibility, then pilot acceptance. Contact vendors using their official resource links; this site does not promise delivery or supplier availability.
Resources to investigate
These resources are discovery candidates, not verified compatible solutions or supplier endorsements.
MIT CSAIL
A research laboratory spanning AI, robotics and intelligent computing.
SiT-Dataset · SPALaboratory
SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots
onrobot · UOsaka-Harada-Laboratory
OnRobot packages (https://wiki.ros.org/onrobot)
Matterix · AccelerationConsortium
A digital twin for robotics-assisted chemistry laboratory automation.
Robot on Rails
Robot laboratory operators for executing experimental protocols.
Whelix
AI agents and laboratory robotics for cell culture automation.