Robots After Hours: Gatlin Robotics x Knoxlabs
Join Knoxlabs and Gatlin Robotics in Santa Monica on October 15 for robots, robotics hardware, and conversations with the people building them. Request to join through Luma.
Most robotics projects start with a product comparison: payload ratings, reach charts, price lists. That order is backwards. Choosing a robot before defining the workflow can create an expensive mismatch between the hardware and the work it has to do.
Automation feasibility depends on the task, not the robot. Before you compare hardware, answer eight questions about the workflow: what moves, how heavy it is, how far it travels, how fast it must happen, how much it varies, what happens before and after, what surrounds the station, and how you will judge success. Those answers decide which robot, tooling and cell the application needs.
This article walks through each question, shows how they apply to a real task type, and ends with a checklist you can fill in before your first conversation with a supplier or integrator.
A robot specification tells you what the arm can do in ideal conditions. It does not tell you whether it fits your operation. That depends on the parts, the pace, the space and the people around the station.
Two teams can buy the same robot and get very different results. One defined the task first and chose tooling, sensing and layout to match. The other bought the arm, then discovered the gripper could not handle the packaging, the reach fell short of the far corner of the pallet, or the upstream conveyor delivered parts in an orientation nobody planned for.
Starting with the workflow changes the question from "which robot should we buy?" to "what does this application require?" The robot becomes one line in the answer, alongside the end-of-arm tooling, cameras and sensors, structure, controls, safety equipment and support plan.
These are the questions an application review works through. You do not need every answer before you start, but each unknown is a risk to identify early.
Describe the job step by step. Where does the item come from, where does it go, and what happens to it on the way? "Pick a case from the conveyor, rotate it, place it on the pallet in pattern B" is a usable description. "Palletizing" is not.
Weigh the heaviest item the robot will handle, including packaging. Then add the tooling: the gripper, vacuum cups or fixture the robot carries counts against its rated payload. Teams often size for the product alone and run short once the end-of-arm tooling is included.
Measure the reach the task requires: pick point to place point, the highest and lowest positions, and the farthest corner of the work area. Note where the robot can be mounted and whether anything blocks the path.
State the rate the process requires, in parts or cases per minute, and over how many shifts. Use the real line rate, not a peak figure. Achievable rate depends on the full cell design and should be confirmed through review and testing.
List the range of sizes, weights, SKUs, materials and orientations. Note how often the line changes over. Variation drives tooling, sensing and programming decisions more than almost anything else.
Describe the upstream and downstream process: how items arrive, how finished work leaves, and what the robot depends on. A conveyor interface, a machine door or a pallet exchange can matter as much as the robot itself.
Record the available floor space, ceiling height, floor condition, temperature, dust or washdown needs, and who works nearby. These shape the structure, guarding and safety approach.
Define acceptance criteria before any hardware is chosen: the items it must handle, the rate it must sustain, the error rate you can accept, and how operators will interact with it. Without them, a demonstration can look like proof when it is not.
The eight questions define the task. A working cell also needs decisions that no measurement answers.
How the cell talks to the line, the conveyor or the machine it serves.
Who owns the risk assessment, guarding and commissioning decisions. A component's certification does not certify the complete application.
Who sets the cell up, validates it and prepares the operators.
Who handles maintenance, spare parts, troubleshooting and upgrades after go-live.
These belong in the plan from the start. Leaving them until after the robot arrives is a common source of delay and unplanned cost.
Palletizing looks simple: pick a case, stack it on a pallet. Run it through the eight questions and the real scope appears.
| Question | In a palletizing cell |
|---|---|
| Task sequence | Cases arrive on a conveyor, are picked, oriented and placed in a defined pallet pattern, then the full pallet is removed. |
| Payload | Case weight including packaging, plus the gripper or vacuum tooling. |
| Reach | The distance to the farthest and highest point of a full pallet, not just the first layer. |
| Cycle time | The line's actual case rate across each shift. |
| Variability | How many case sizes and SKUs run on the line, and how often patterns change. |
| Before and after | How cases are detected on the infeed, and how full pallets are swapped without stopping the line. |
| Environment | The floor space available at the end of the line, and who works around it. |
| Acceptance | The patterns, rate and stack quality the cell must deliver. |
Mixed SKUs, unusual packaging, tight space or multiple infeeds may need more specialized integration. Those are exactly the details to surface before choosing hardware. See how Knoxlabs approaches end-of-line palletizing, or explore other cobot cell applications.
Note what you know for each item. Anything you can't answer yet is an open question for your first review.
| Question | What to record |
|---|---|
| Task sequence | Each step from pick to place, in order |
| Payload | Heaviest item with packaging, plus tooling |
| Reach | Pick-to-place distance, highest and lowest points, mounting options |
| Cycle time | Required rate per minute and shifts per day |
| Variability | Sizes, weights, SKUs, orientations, changeover frequency |
| Before and after | How items arrive and leave; connected equipment |
| Environment | Floor space, height, conditions, people nearby |
| Acceptance criteria | Items handled, rate sustained, acceptable error rate |
| Controls and safety | Line integration, safety owner, guarding needs |
| Support | Training, spares, maintenance owner |
Once the workflow is defined, comparing hardware becomes a much shorter conversation. Use your checklist answers to narrow each category.
Compare payload, reach and mounting against your task.
Explore robot arms →Match the tooling to the item, packaging and handling.
Explore grippers →Add the vision and sensing the task needs to detect and handle items.
Explore cameras →Browse arms, hands, grippers and sensing in one place.
Browse the catalog →Not sure which components fit? A workflow review identifies the hardware questions worth answering first.
You do not need a finished specification to start. Any of these is enough:
Missing details are normal. Identifying them is the purpose of the first review.
An automation feasibility study checks whether a specific task can be automated and what the solution would require. For robotics, it reviews the task, payload, reach, rate, variability, surrounding process and environment before hardware is selected.
No. A task description, a photo or video, and approximate dimensions are enough to begin. A first review identifies what is still unknown.
Sometimes. It depends on how much the items vary and whether the tooling, sensing and programming can cover that range. Variation is one of the first things to review.
Not every task is ready to automate. A feasibility review can show that early, before money is spent on hardware, and point to what would need to change.
Review box flow, pallets, floor space and shift pattern before choosing a cobot cell.
Explore palletizing →Scope the arm, end effector, tooling, sensing and controls around the station.
Explore cobot cells →Bring together teleoperation, motion capture, vision and the hardware behind repeatable data collection.
Explore research stacks →Knoxlabs helps teams turn a workflow into a complete working cell: the robot, tooling, cameras and sensors, structure, controls, safety, integration, training and support after go-live.
Tell us what you want to automate. Share the task, what you already have and what you are trying to achieve, and we will follow up with the practical next questions.
Final recommendations depend on application review.
Join Knoxlabs and Gatlin Robotics in Santa Monica on October 15 for robots, robotics hardware, and conversations with the people building them. Request to join through Luma.
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