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Model Predictive Control for Robotics & Automation

Faster, safer robots with constraint-aware predictive controllers.

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Challenges

  • Joint limits and collision constraints violated under high-speed trajectories
  • Force control for compliant assembly tasks
  • Sim-to-real gap for deployed controllers
  • Real-time computation budget on embedded hardware

How We Help

NMPC for Motion Planning

Handle obstacle avoidance, joint constraints, and end-effector force limits in a single optimisation.

Embedded Real-Time MPC

Deploy solvers on DSP/FPGA at kHz rates using explicit MPC or code-generated NMPC.

Learning-Augmented Control

Combine model-based MPC with Gaussian Process or neural residual models for sim-to-real transfer.

Relevant Design Patterns

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Let's discuss how model-predictive control can address your specific challenges. A 30-minute call is enough to assess feasibility.

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