Collision-free navigation of multiple unicycle mobile robots

Wheeled Robots (WRs) are widely used in many different contexts, and usually they are required to operate in partial or total autonomy. In particular, in a wide range of situations, having the capability of following a predetermined path and avoiding unexpected obstacles can be extremely relevant. On these basis, this paper analyzes an integrated approach for path following and obstacle avoidance applied to unicycle-type robots. The approach is based on the definition of the path to be followed as a curve f(x,y) in space, while obstacles are modeled as Gaussian functions that modify the original function, generating a resulting safe path. The attractiveness of this methodology which makes it look very simple, is that it neither requires the computation of a projection of the robot position on the path, nor does it need to consider a moving virtual target to be tracked. The performances of the proposed approach are analyzed by means of a series of experiments performed in dynamic environments with unicycle-type robots.