Geospatial data is often used to predict or recommend movements of robots, people, or animals ("walkers"). Analysis of such systems can be combinatorially explosive. Eac...
H. Van Dyke Parunak, Sven Brueckner, Robert S. Mat...
As military interest continues to grow for Unmanned Aerial Vehicle (UAV) capabilities, the Air Force is exploring UAV autonomous control, mission planning and optimization techniq...
Abstract— Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques w...
— Research on robotic manipulation has mainly focused on manipulating rigid objects so far. However, many important application domains require manipulating deformable objects, e...
In this paper, we present a motion planning framework for a fully deployed autonomous unmanned aerial vehicle which integrates two sample-based motion planning techniques, Probabi...