Christopher Clingerman

Dynamic and probabilistic estimation of manipulable obstacles for indoor navigation

In this paper we derive and implement an algorithm for an indoor mobile robotics platform to estimate the manipulability of initially unknown obstacles while navigating through its environment to a pre-specified goal. The environment is represented by an evidence grid, where each cell contains a gam…