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 411–420 of 542 papers

Title	Date	Tasks	Status
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks	Dec 22, 2016	Boundary DetectionEdge Detection	—Unverified
Physically Plausible 3D Human-Scene Reconstruction from Monocular RGB Image using an Adversarial Learning Approach	Jul 27, 2023	3D ReconstructionRobot Navigation	—Unverified
Pixel-Level Clustering Network for Unsupervised Image Segmentation	Oct 24, 2023	Autonomous DrivingClustering	—Unverified
Planning and Control of Multi-Robot-Object Systems under Temporal Logic Tasks and Uncertain Dynamics	Apr 25, 2022	Robot NavigationTask Planning	—Unverified
Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents	Sep 3, 2024	Robot Navigation	—Unverified
Playing with Embeddings : Evaluating embeddings for Robot Language Learning through MUD Games	Sep 1, 2017	Machine TranslationRobot Navigation	—Unverified
Point2Graph: An End-to-end Point Cloud-based 3D Open-Vocabulary Scene Graph for Robot Navigation	Sep 16, 2024	3D Open-Vocabulary Object DetectionGraph Generation	—Unverified
Point Cloud in the Air	Jan 1, 2024	Autonomous VehiclesRobot Navigation	—Unverified
Position Paper: From Multi-Agent Pathfinding to Pipe Routing	May 21, 2019	Multi-Agent Path FindingPosition	—Unverified
Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation	Oct 17, 2022	continuous-controlContinuous Control	—Unverified

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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	Casa	SPL	0	—	Unverified
8	PPO RGBD	SPL	0	—	Unverified
9	Black Sheep	SPL	0	—	Unverified
10	Clever Tortoise	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	Casa	SPL	0	—	Unverified
10	Forward_Only	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	UCULab	SPL	0	—	Unverified
9	RandomAgent	SPL	0	—	Unverified