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We present a scheme for producing tunable active dynamics in a self-propelledrobotic device. The robot moves using the differential drive mechanism wheretwo wheels can vary their instantaneous velocities independently. Thesevelocities are calculated by equating robot's equations of motion in twodimensions with well-established active particle models and encoded into therobot's microcontroller. We demonstrate that the robot can depict activeBrownian, run and tumble, and Brownian dynamics with a wide range ofparameters. The resulting motion analyzed using particle tracking showsexcellent agreement with the theoretically predicted trajectories. Finally, wedemonstrate that its motion can be switched between different dynamics usinglight intensity as an external parameter. This work opens an avenue fordesigning tunable active systems with the potential of revealing the physics ofactive matter and its application for bio- and nature-inspired robotics.

Programming tunable active dynamics in a self-propelled robot