Papers PointGoal Navigation
“PointGoal Navigation” 태그가 달린 논문 27편 · 필터 해제
How to Train PointGoal Navigation Agents on a (Sample and Compute) Budget
PointGoal navigation has seen significant recent interest and progress, spurred on by the Habitat platform and associated challenge. In this paper, we study PointGoal navigation under both a sample budget (75 million fra…
GPUPointGoal NavigationAuxiliary Tasks Speed Up Learning PointGoal Navigation
PointGoal Navigation is an embodied task that requires agents to navigate to a specified point in an unseen environment. Wijmans et al. showed that this task is solvable but their method is computationally prohibitive, r…
GPUNavigatePointGoal NavigationLearning to Explore using Active Neural SLAM
This work presents a modular and hierarchical approach to learn policies for exploring 3D environments, called `Active Neural SLAM'. Our approach leverages the strengths of both classical and learning-based methods, by u…
PointGoal NavigationState EstimationLearning to Move with Affordance Maps
The ability to autonomously explore and navigate a physical space is a fundamental requirement for virtually any mobile autonomous agent, from household robotic vacuums to autonomous vehicles. Traditional SLAM-based appr…
Autonomous NavigationAutonomous VehiclesNavigatePointGoal NavigationSim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance?
Does progress in simulation translate to progress on robots? If one method outperforms another in simulation, how likely is that trend to hold in reality on a robot? We examine this question for embodied PointGoal naviga…
PointGoal NavigationVisual NavigationDD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
We present Decentralized Distributed Proximal Policy Optimization (DD-PPO), a method for distributed reinforcement learning in resource-intensive simulated environments. DD-PPO is distributed (uses multiple machines), de…
Autonomous NavigationGPUNavigatePointGoal Navigation+3Habitat: A Platform for Embodied AI Research
We present Habitat, a platform for research in embodied artificial intelligence (AI). Habitat enables training embodied agents (virtual robots) in highly efficient photorealistic 3D simulation. Specifically, Habitat cons…
BenchmarkingGPUInstruction FollowingPointGoal Navigation+2