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PointGoal Navigation

Point goal navigation is a task where an agent navigates to a specific location, defined by coordinates (x, y), in an environment using sensory inputs like vision or depth, without a pre-built map, relying on real-time perception and decision-making.

Papers

Showing 110 of 25 papers

TitleStatusHype
Habitat: A Platform for Embodied AI ResearchCode2
Learning to Move with Affordance MapsCode1
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion FramesCode1
Large Batch Simulation for Deep Reinforcement LearningCode1
Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance?Code1
Is Mapping Necessary for Realistic PointGoal Navigation?Code1
Learning to Explore using Active Neural SLAMCode1
Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AICode1
Auxiliary Tasks Speed Up Learning PointGoal NavigationCode1
Out of the Box: Embodied Navigation in the Real WorldCode1
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