— In the past, there has been a tremendous advance in the area of simultaneous localization and mapping (SLAM). However, there are relatively few approaches for incorporating pri...
Michael Karg, Kai M. Wurm, Cyrill Stachniss, Klaus...
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Abstract— This work addresses mission planning for autonomous underwater gliders based on predictions of an uncertain, time-varying current eld. Glider submersibles are highly se...
David R. Thompson, Steve Chien, Yi Chao, Peggy Li,...
— We present a novel approach to build approximate maps of structured environments utilizing human motion and activity. Our approach uses data recorded with a data suit which is ...
Slawomir Grzonka, Frederic Dijoux, Andreas Karwath...
Abstract— Navigating through unknown outdoor environments requires a robot to be able to see and model the far field terrain. In recent years this problem of seeing beyond relia...