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How to Scientifically Select Industrial Robots

May 8, 2025

Latest company news about How to Scientifically Select Industrial Robots
In the wave of manufacturing automation, robotic technology has evolved from a specialized solution for large enterprises to a universal choice for businesses of all scales. Faced with a diverse market of robotic models—varying widely in functional parameters and price points—a systematic selection framework has become essential for decision-making. By adhering to a structured evaluation methodology, enterprises can precisely align performance requirements with budget constraints, avoiding pitfalls of "over-specification" or "under-capacity."

Core Evaluation Criteria via the LOSTPED Framework

Bosch Rexroth’s LOSTPED assessment system—standing for Load, Orientation, Speed, Travel, Precision, Environment, and Duty cycle—provides a clear technical framework for robotic selection:


Technical Decision-Making for Typical Applications

  1. Payload vs. Cost-Effectiveness Balance:
    • In 20kg payload applications, Cartesian systems offer cost advantages over comparable SCARA robots through mature modular designs (e.g., standardized linear guides and servo drives), which avoid the need for high-end control modules required by SCARA at similar payloads.
    • Complex spatial operations (e.g., grabbing parts from cornered bins) necessitate the multi-joint flexibility of 6-axis arms, despite higher upfront investment.
  2. Workspace Optimization:
    • Tight workstations benefit from compact SCARA robots, whose planar motion maximizes space efficiency;
    • Open production lines are ideal for Cartesian gantry systems, which achieve customizable stroke expansion via linear module combinations (e.g., ultra-long axis applications in automated storage and retrieval systems).

Technological Advancements Driving Cartesian Robot Adoption

Mid-sized and small enterprises are increasingly deploying Cartesian robots due to these key innovations:


Selection Recommendations

Enterprises should align robotic choices with process specifics (e.g., precision grade, motion trajectory complexity), production capacity (single/multi-shift operations), and digital readiness (PLC programming capability). Prioritize quantifying requirements via the LOSTPED framework and leverage modular solutions’ cost benefits to achieve optimal ROI without compromising performance.
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