it looks like you guys covered the robot in sparkfun components. specifically if i had to guess i would say its the sparkfun qwiic mini tof imager - VL53L5CX using i2c and connecting to what looks like a few of the seeed studio seeeduino xaio or seeed studio seeeduino 2040 boards. while this is generally a decent idea for creating a point cloud, it likely also generates a decent amount of interference in non lab/controlled environments. a combination of these sensors with static electricity sensors, magnetic proximity sensors, and image data from the sensor system in the comparison clips in this video should create a far more robust set of point clouds that could be used in movement planning/collision avoidance. really cool concept tho!
it looks like you guys covered the robot in sparkfun components. specifically if i had to guess i would say its the sparkfun qwiic mini tof imager - VL53L5CX using i2c and connecting to what looks like a few of the seeed studio seeeduino xaio or seeed studio seeeduino 2040 boards. while this is generally a decent idea for creating a point cloud, it likely also generates a decent amount of interference in non lab/controlled environments. a combination of these sensors with static electricity sensors, magnetic proximity sensors, and image data from the sensor system in the comparison clips in this video should create a far more robust set of point clouds that could be used in movement planning/collision avoidance. really cool concept tho!