Indoor Navigation

Indoor Navigation solves the problem of moving robots in indoor scenarios. It includes indoor collision avoidance and indoor social navigation.

MSVIPER
Image-goal navigation in complex environments via modular learning
XAI-N: Sensor-based robot navigation using expert policies and decision trees
OF-VO: Efficient Navigation Among Pedestrians Using Commodity Sensors
Crowd-steer: Realtime smooth and collision-free robot navigation in densely crowded scenarios trained using high-fidelity simulation
DenseCAvoid: Real-time Navigation in Dense Crowds using Anticipatory Behaviors