  We study the effect of stochastic resetting on a run and tumble particle
(RTP) in two spatial dimensions. We consider a resetting protocol which affects
both the position and orientation of the RTP: with a constant rate the particle
undergoes a positional resetting to a fixed point in space and orientation
randomization. We compute the radial and $x$-marginal stationary state
distributions and show that while the former approaches a constant value as $r
\to 0$, the latter diverges logarithmically as $x \to 0$. On the other hand,
both the marginal distributions decay exponentially with the same exponent far
away from the origin. We also study the temporal relaxation of the RTP and show
that the position distribution undergoes a dynamical transition to a stationary
state. We also study the first passage properties of the RTP in the presence of
the resetting and show that the optimization of the resetting rate can minimize
the mean first passage time. We also give a brief discussion on the stationary
states for resetting to the initial position with fixed orientation.
