  We present a scheme for producing tunable active dynamics in a self-propelled
robotic device. The robot moves using the differential drive mechanism where
two wheels can vary their instantaneous velocities independently. These
velocities are calculated by equating robot's equations of motion in two
dimensions with well-established active particle models and encoded into the
robot's microcontroller. We demonstrate that the robot can depict active
Brownian, run and tumble, and Brownian dynamics with a wide range of
parameters. The resulting motion analyzed using particle tracking shows
excellent agreement with the theoretically predicted trajectories. Finally, we
demonstrate that its motion can be switched between different dynamics using
light intensity as an external parameter. This work opens an avenue for
designing tunable active systems with the potential of revealing the physics of
active matter and its application for bio- and nature-inspired robotics.
