… Deep Learning Here we address the creation of a learning-augmented navigation cost map
… Our predictive model learns the relation between navigation costs, computed from inertial …

… The high-precision integrated navigation time for the MEMS SINS/GNSS combination … the
flexible navigation of existing low-cost vehicles. A deep learning assisted integrated navigation …

… In this paper, we address the robot navigation in the presence … item), or simply when a normal
navigation behavior needs to be … The Human-Aware Cost Functions used in this work are …

… We aim to solve the problem of navigation to a goal location incurring minimum expected
cost in an unknown map. We define the cost of navigation to be equal to the time spent en …

… A novel lightweight DNN framework, the L-IONets, is proposed to enable more accurate
and efficient inference for inertial navigation from low-cost IMU data. Fig. 3 illustrates the …

… to its low implementation cost and robustness to environmental … during the autonomous
navigation process in different … , and are carried out at high computational cost, requiring high-…

… navigation algorithms our solution makes use of low-cost … -cost sensors and robustness
of autonomous navigation in … Artificial Intelligence and standard navigation algorithms. On …

… -cost, robust local motion planner for autonomous navigation in … recent advancements in
the Deep Learning [23] techniques … resilient local navigation algorithm able to navigate inside …

… We develop a cost function representation composed of two parts: a probabilistic occupancy
… cost functions from expert demonstration. We consider the problem of safe navigation from …

… Considering the cost and convenience, the integrated navigation system for the small-scale
AUV, which works in shallow seas and lakes, mainly relays on the Doppler velocity log (DVL…