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- Librobotcontrol is package of C library which contains examples and testing programs for Robotic control projects used using beaglebone capes like `robotic-cape <https://www.beagleboard.org/boards/beaglebone-robotics-cape>`_ which is sold by beagleboard.org. BeaglBboneBlack(BBB)(am33xx) supports the librobotcontrol package thanks to Deepak khatri, Who Previouly worked upon cape compatibility layer on BBB.BeaglBboneBlack support robotic-cape cape with librobotcontrol package due to device tree overlays which identify the robotics-cape as a specific hardware which can be useful while accesing various pheripherals and devices with roboitic-cape.
- Librobotcontrol is package of C library which contains examples and testing programms for Robotic control projects used by beaglebone capes like `robotic-cape <https://www.beagleboard.org/boards/beaglebone-robotics-cape>`_ which is sold by beagleboard.org. BeaglBboneBlack(BBB)(am33xx) supports the librobotcontrol package thanks to Deepak khatri, Who Previouly worked upon cape compatibility layer on BBB.BeaglBboneBlack support robotic-cape cape with librobotcontrol package due to device tree overlays which identify the robotics-cape as a specific hardware which can be useful while accesing various pheripherals and devices with roboitic-cape.
- BeagleBone-AI support librobotcontrol package but its been draft and there is not a stable device tree overlays for robotic cape in AI image.So for using package, have to check the passed results for various drivers and use cape with AI and make changes accordingly. BeagleBone AI is based on the Texas Instruments AM5729 dual-core Cortex-A15 SoC with flexible BeagleBone Black header and mechanical compatibility. Which supports the AM572x device tree binary files. However, the current implementation has the following problems This proposal will address these issues.
- BeagleBone-AI support librobotcontrol package but its been draft and there is not a stable device tree overlays for robotic cape in AI image.So for using package, have to check the passed results for various drivers and use cape with AI and make changes accordingly. BeagleBone AI is based on the Texas Instruments AM5729 dual-core Cortex-A15 SoC with flexible BeagleBone Black header and mechanical compatibility. Which supports the AM572x device tree binary files. However, the current implementation has the following problems This proposal will address these issues.
