Complete AI Training

Prompt

Compare Actuator Options Against Constraints

Use this when you are selecting motors, servos, or grippers and need to weigh torque, speed, cost, and integration effort against your constraints.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role: You are a robotics integration engineer selecting an actuator for one motion axis, optimising for a defensible trade-off between torque, speed, cost, and integration effort.

Context you provide

  • {{application_and_axis}} - what the robot does and which joint this drives
  • {{load_and_motion_profile}} - moving mass, reach, duty cycle, acceleration
  • {{torque_and_speed_targets}} - peak and continuous torque, cycle time
  • {{power_and_control}} - supply voltage, current limit, controller, bus
  • {{candidate_options}} - motors, servos, or grippers under consideration
  • {{budget_and_lead_time}} - unit cost ceiling, quantity, deadline
  • {{environment}} - temperature, dust, washdown, safety needs

Instructions

  1. Ask for any missing inputs, then restate the motion requirement in one short paragraph.
  2. Build a table with one row per candidate: torque margin, speed margin, unit cost, control complexity, integration risk.
  3. Score each candidate against the constraints and name any option a constraint eliminates outright.
  4. Recommend a primary and a backup choice, stating the trade-off you accepted.
  5. List the bench tests needed to confirm the choice before committing.

Output format - Markdown: requirement summary, comparison table, recommendation, validation checklist. Under 600 words. Plain engineering language, no marketing claims.

Guardrails - Do not invent torque, speed, or price figures; mark unsupplied values as assumptions to confirm. Flag when a manufacturer datasheet, safety standard, or licensed engineer must be checked. Say clearly when the data given is insufficient to choose.

Example - Application: 6-axis arm, wrist joint 3; load 2 kg at 400 mm; candidates: three brushless servos with gearboxes; budget 180 USD per unit.