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AMP Robotics Corporation AMP CortexvsKUKA KR QUANTEC

Side-by-side comparison of AMP Robotics Corporation AMP Cortex and KUKA KR QUANTEC: specs, price, use cases and SDKs.

Specifications

SpecAMP CortexKR QUANTEC
Price (USD)
$300,000
$85,000
Category
industrial
industrial
Payload
null kg
300 kg
Runtime
24 h
Speed
null m/s
Weight
null kg
Reach
3100mm
Degrees of Freedom
null
6
Shared use cases
No shared use cases
Only on AMP Cortex
  • Waste sorting
  • Recycling facilities
  • Material recovery
  • Sorting single-stream recycling
  • Sorting e-scrap
  • Sorting construction and demolition debris
  • Identifying and sorting paper, plastics, and metals
Only on KR QUANTEC
  • Automotive welding
  • Palletizing
  • Heavy assembly

When to pick which

When to pick AMP Cortex

Choose the AMP Cortex for high-volume material recovery facilities (MRFs) or municipal recycling centers focused on automated waste segregation. While the KUKA is a general-purpose arm, the Cortex is a specialized system integrated with the AMP Neuron AI platform, designed specifically to identify and sort complex streams like single-stream recycling, e-scrap, and construction debris. Its 24-hour runtime capability supports continuous processing lines where human sorting is inefficient or hazardous. Select this system when your primary constraint is the need for high-speed, AI-driven material identification across diverse categories like plastics and metals rather than heavy lifting.

When to pick KR QUANTEC

Select the KUKA KR QUANTEC for heavy-duty manufacturing environments such as automotive assembly lines or large-scale logistics hubs. At a price point of $85,000, it offers a cost-effective solution for tasks requiring a massive 300kg payload capacity and a 3100mm reach. Its 6 degrees of freedom provide the mechanical flexibility needed for precision spot welding, heavy palletizing, or maneuvering large structural components. Choose this robot when your operation demands high mechanical force and long-reach articulation within a traditional industrial cell, rather than the specialized computer vision and material identification required for waste processing.

AI-generated buyer guidance based on public specs.

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