… ), a motion model p(s′|a, m) and map of the environment. The probabilistic nature of the
algorithm makes the motion planning … The motion and future occupancy of the obstacles B i are …

… , perception, decision-making, and motion planning towards human-level intelligence in …
-POMDP only checks the new ego vehicle state within the corresponding occupancy map. …

… (CNN) to predict average occupancy maps indoors, with semantic map input for the urban
… Stone, “Robust motion planning and safety benchmarking in human workspaces.” in SafeAI…

… We seek to learn a mapping m from X to Z and a mapping n from Z to X for which latent
dynamics fZ are enforced over Z. We further learn a “blackbox” collision checking function g in the …

… its sourroundings and plan actions according to its intentions. To enable safe motion planning
it is … This paper presents an improved formulation for occupancy filtering. Our approach is …

… occupancy grids from the motion planning perspective and proposes a mapping method that
provides richer data (map) … case, and Assumption 3 in occupancy mapping can be relaxed. …

… In this section, we stick with the representation of the obstacles O by the discrete mapping o,
… Thrun, “Learning occupancy grid maps with forward sensor models,” Auton. Robots, vol. 15, …

… an approach for predicting occupancy map representations of … not only mapping but also
predictive mapping capabilities [2]. … predictions of occupancy maps can enable risk sensitive …

… The reason for this is simply that only provides meaningful gradients for the motion planning,
whereas dism1; m2fi ¿ agrm1; m2fi only Blocks[ the two maps in place as soon as the …

… Figure 9 shows the occupancy maps produced by the robot after moving for a while in the …
occupancy map constructed by utilization of laser only information, while Fig. 9b depicts a map …