Visual Navigation
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Benchmarks
Most implemented
Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments
Cognitive Mapping and Planning for Visual Navigation
Think Locally, Act Globally: Federated Learning with Local and Global Representations
Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance?
POPGym: Benchmarking Partially Observable Reinforcement Learning
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation
Papers
NavArena: Automated Construction of Goal-Oriented Navigation Benchmarks from 3D Gaussian Splatting Reconstructions
Fixed 3D Gaussian Splatting (3DGS) reconstructions provide realistic novel views but lack the traversability constraints, valid goals, and closed-loop protocols required for navigation evaluation. We introduce NavArena, …
Visual NavigationCanonNav: Disentangling Navigation Behavior from Camera Geometry in Cross-Platform Visual Navigation
While visual navigation has advanced through imitation learning from cross-platform demonstrations, fully leveraging such data remains challenging. First, directly learning from image-trajectory pairs entangles navigatio…
Visual NavigationReinforced Planning with Latent World Models
Humans solve complex problems by constructing plans and mentally simulating their outcomes with an internal model of the world. Machine learning has produced world models that similarly predict the outcomes of action seq…
Visual NavigationDevGRU: Depth-guided Visual Navigation using a Collision-aware Recurrent Model
Existing visual navigation models often aim to develop foundation models that can generalize robot navigation across diverse platforms. However, many of these models are prone to collisions when deployed in complex indoo…
Visual NavigationRobot NavigationPose EstimationUniNav: A Unified World-Action Diffusion Model for Visual Navigation
Image-goal visual navigation is a fundamental capability for embodied agents. Existing navigation policies efficiently predict waypoint trajectories but lack visual foresight, while navigation world models can anticipate…
Trajectory PredictionVisual NavigationX-NavDP: Generalizing Navigation Diffusion Policy to Novel Behavior and Embodiments with Group Q-score Reweighted Matching
Pretraining navigation diffusion policies rely on large-scale expert demonstrations. These data are typically generated by a fully-informed oracle planner suited to a single nominal robot. This limits the policy's genera…
Reinforcement LearningVisual Navigation