STDA047 September   2026 AWR2188 , AWR2944P , IWR6243 , IWR6843 , IWR6843AOP , IWRL6432

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1Why Radar in Robotics
  5. 2Why TI mmWave FMCW Radar for Robotics?
  6. 3Radar Products for any Robotics Application
  7. 4TI mmWave Radar Portfolio for Robotics
  8. 5Robotics Market Requirements – What Radar Solves
    1. 5.1 Humanoid and Bipedal Robots
    2. 5.2 Autonomous Mobile Robots (AMR)
    3. 5.3 Industrial Fixed-Mount Radar
    4. 5.4 Medical and Surgical Robotics
  9. 6Recommended Products
    1. 6.1 High Resolution IWR6243 Cascade Radar
      1. 6.1.1 Reference Design
      2. 6.1.2 Hardware Stack
      3. 6.1.3 Software Stack
    2. 6.2 Form Factor Optimized IWR6843 AOP Radar
      1. 6.2.1 Reference Design
  10. 7Design and Documentation Support
    1. 7.1 Tools and Software
    2. 7.2 Documentation Support
    3. 7.3 Resources
  11. 8Acknowledgments

6.2.1 Reference Design

The mmWave radar sensing reference design for safer robot perception reference design guide provides a validated hardware foundation for deploying the IWR6843AOP in certified robotic systems. This design is a fully assembled performance-validated board paring pairs the IWR6843AOP radar with the LP87745 safety PMIC.

This design guide explains Q&A watchdog communication between PMIC and radar, level and PWM error signal monitoring (ESM), safety diagnostics, and radar reset using the hardware-side building blocks of a SIL 2 compliant robot perception module. The example used in the TIDA-010281 design guide also shows verified test results for watchdog communication, error signal monitoring, safety diagnostics, and radar reset. These results give developers a known-good starting point for SIL 2 compliant robot perception nodes targeting AMRs, AGVs, humanoids, and collaborative robots.

Supplementary documentation, including schematics, BOM, and Gerbers, are available on the TIDA-010281 tool page.

IWR6243 TIDA-010281 Reference Design for Safe Perception in Robotics Figure 6-2 TIDA-010281 Reference Design for Safe Perception in Robotics