Robot Navigation

The fundamental objective of mobile Robot Navigation is to arrive at a goal position without collision. The mobile robot is supposed to be aware of obstacles and move freely in different working scenarios.

Source: Learning to Navigate from Simulation via Spatial and Semantic Information Synthesis with Noise Model Embedding

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 171–180 of 542 papers

Title	Date	Tasks	Status	Hype
Exploring Social Motion Latent Space and Human Awareness for Effective Robot Navigation in Crowded Environments	Oct 11, 2023	Robot NavigationSocial Navigation	—Unverified	0
Pre-Trained Masked Image Model for Mobile Robot Navigation	Oct 10, 2023	Robot Navigation	—Unverified	0
Anyview: Generalizable Indoor 3D Object Detection with Variable Frames	Oct 9, 2023	3D Object DetectionObject	—Unverified	0
ClusVPR: Efficient Visual Place Recognition with Clustering-based Weighted Transformer	Oct 6, 2023	ClusteringRobot Navigation	—Unverified	0
Walking = Traversable? : Traversability Prediction via Multiple Human Object Tracking under Occlusion	Sep 30, 2023	Object TrackingRobot Navigation	—Unverified	0
Robots That Can See: Leveraging Human Pose for Trajectory Prediction	Sep 29, 2023	PredictionRobot Navigation	CodeCode Available	1
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs	Sep 27, 2023	FormNavigate	CodeCode Available	1
CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration	Sep 26, 2023	Autonomous VehiclesImage to Point Cloud Registration	—Unverified	0
SRFNet: Monocular Depth Estimation with Fine-grained Structure via Spatial Reliability-oriented Fusion of Frames and Events	Sep 22, 2023	Depth EstimationMonocular Depth Estimation	—Unverified	0
A Study on Learning Social Robot Navigation with Multimodal Perception	Sep 22, 2023	Decision MakingNavigate	CodeCode Available	1

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All datasets Habitat 2020 Object Nav minival Habitat 2020 Object Nav test-std Habitat 2020 Point Nav test-std Habitat 2020 Point Nav minival

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SemExp	SPL	0.25	—	Unverified
2	SRCB-robot-sudoer	SPL	0.12	—	Unverified
3	Active Exploration (Pre-explore )	SPL	0.11	—	Unverified
4	Blue Ox	SPL	0.11	—	Unverified
5	RL	SPL	0.06	—	Unverified
6	Habitat-Web	SPL	0.03	—	Unverified
7	Objects In Mirror Are Closer Than They Appear	SPL	0	—	Unverified
8	Casa	SPL	0	—	Unverified
9	PPO RGBD	SPL	0	—	Unverified
10	Black Sheep	SPL	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	THDA	SPL	0.09	—	Unverified
2	6-Act Tether	SPL	0.08	—	Unverified
3	SRCB-robot-sudoer	SPL	0.07	—	Unverified
4	SemExp	SPL	0.07	—	Unverified
5	Active Exploration (Pre-explore )	SPL	0.04	—	Unverified
6	RGBD+DD-PPO	SPL	0.02	—	Unverified
7	RL_20_torch_18	SPL	0.02	—	Unverified
8	Blue Ox	SPL	0.02	—	Unverified
9	Black Sheep	SPL	0	—	Unverified
10	RandomAgent	SPL	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VO	SPL	0.53	—	Unverified
2	SLAM-net + D*	SPL	0.38	—	Unverified
3	OccupancyAnticipation	SPL	0.22	—	Unverified
4	Information Bottleneck	SPL	0.12	—	Unverified
5	ego-localization	SPL	0.12	—	Unverified
6	39	SPL	0.01	—	Unverified
7	cso	SPL	0.01	—	Unverified
8	UCULab	SPL	0.01	—	Unverified
9	Habitat Team (RGBD+DD-PPO)	SPL	0	—	Unverified
10	RandomAgent	SPL	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VO	SPL	0.61	—	Unverified
2	OccupancyAnticipation	SPL	0.6	—	Unverified
3	DAN	SPL	0.53	—	Unverified
4	Visual Odometry for Realistic PointGoal Navigation	SPL	0.5	—	Unverified
5	ego-localization	SPL	0.31	—	Unverified
6	Information Bottleneck	SPL	0.13	—	Unverified
7	Alstar	SPL	0.05	—	Unverified
8	RandomAgent	SPL	0	—	Unverified
9	UCULab	SPL	0	—	Unverified