PointGoal Navigation
14 papers with code • 1 benchmarks • 2 datasets
Libraries
Use these libraries to find PointGoal Navigation models and implementationsMost implemented papers
Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models, Benchmark and Efficient Evaluation
All the proposed navigation models have been trained with the Habitat simulator on a synthetic office environment and have been tested on the same real-world environment using a real robotic platform.
Is Mapping Necessary for Realistic PointGoal Navigation?
However, for PointNav in a realistic setting (RGB-D and actuation noise, no GPS+Compass), this is an open question; one we tackle in this paper.
VER: Scaling On-Policy RL Leads to the Emergence of Navigation in Embodied Rearrangement
Specifically, the Pick skill involves a robot picking an object from a table.
Comparison of Model-Free and Model-Based Learning-Informed Planning for PointGoal Navigation
In this work, we compare the state-of-the-art Deep Reinforcement Learning based approaches with Partially Observable Markov Decision Process (POMDP) formulation of the point goal navigation problem.