InvenSense / TDK TDK_ROBOKIT1-DK

Multiple Function Sensor Development Tools TDK RoboKit1 Development Kit

TDK InvenSense RoboKit1 Multi-Function Sensor Development Tools combine sensors, processors, and actuators on a single board, making it an ideal robotics platform for quick prototyping and development. The RoboKit1 integrates key product offerings such as a 6-axis IMU, industrial IMU modules, capacitive barometric pressure sensor, digital I2S microphone, temperature sensor, ultrasonic Time of Flight (ToF) sensors, magnetometer, and motor controller on a single PCB. The open-source board comes with ROS drivers and algorithms, making it an ideal platform for ROS hobbyists, educational institutions, and a multitude of Robotics developers.

The Robokit1 platform also provides out-of-the-box integrated software solutions such as obstacle detection, floor-type detection, cliff detection (not suitable for RVC application), and dynamic heading detection. Machine learning keyword spotting is also enabled for applications wanting to integrate voice commands (currently requires Raspberry Pi add-on).

• RoboKit1 development board
• 3x CH101 ultrasonic sensors
• 3x ultrasonic connector cables
• Windows and Android apps for data collection
• Open-source board design files, firmware, and ROS drivers

FEATURES

• ICM-42688-P 6-axis IMU
• 4x ICS-43434 digital I2S microphone
• ICP-10111 barometric pressure sensor
• 9x CH-101/201 ToF modules (connected via flex cable)
• IIM-46230 industrial IMU module (connected via flex cable)
• HVC4223F embedded motor controller
• AK09918C AKM magnetometer
• Temperature sensor

• Obstacle detection for any color objects in all lighting conditions
• Floor-type and cliff detection using ultrasonic sensors
• RoboVac algorithm using IMU data for heading computation
• Robot motor control APIs
• "Hi TDK" keyword spotting with noise filter and noise cancellation
• ROS1 and ROS2 drivers for all on-board sensors
• BLUETOOTH® Low Energy-enabled Windows and Android Apps for sensors and algorithms evaluation and data collection

• 2048KB flash, 348KB SRAM
• Arm® Cortex®-M7 running up to 300MHz
• Atmel Embedded Debugger (EDBG) over USB3 and SWD

• Raspberry Pi
• Nvidia Jetson
• Google Coral Dev Board
• Asus Tinker Board 2/2S

• USB
• Auxiliary USB2
• Header with 1.8V, 3.3V, and 5V power
• 12x GPIO
• Serial connection
• UART

Click here for Full Documentation & Resources