BeagleBoard introduces BeagleConnect Torque open-source controller
The BeagleConnect Torque is a compact, open-source controller module featuring an Arm Cortex-M33 processor with neural-network acceleration.
Summary
BeagleBoard has announced the BeagleConnect Torque, a small-form-factor controller module designed for robotics, motor control, and edge AI applications. It utilizes a Texas Instruments AM13E23019 microcontroller and features onboard CAN, Qwiic, and expansion connections. The hardware designs and firmware sources are open-source, allowing developers to integrate the module into custom carrier boards via a 100-pad solder-down interface.
Technical specifications of BeagleConnect Torque
- Processor: Texas Instruments AM13E23019 with a 200 MHz Arm Cortex-M33 core.
- Acceleration: Includes dedicated math and neural-network acceleration hardware.
- Connectivity: Onboard CAN, Qwiic, and expansion connections.
- Form Factor: 25.4 × 38.1 mm with a 100-pad solder-down interface.
- Programming: Supports TI bootloader protocol via CAN, I²C, or UART, and Serial Wire Debug.
- Software Support: Targets Zephyr and OpenOCD; compatible with TI XDS110 and Code Composer Studio.
Why it matters
The open-source nature of the hardware and firmware provides a foundation for developers to build custom motor-control systems, robot joints, and distributed sensor nodes.
Original reference: www.beagleboard.org →