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 321–330 of 542 papers

Title	Date	Tasks	Status
Single-image camera calibration with model-free distortion correction	Mar 2, 2024	Camera CalibrationCamera Pose Estimation	—Unverified
Situated Multimodal Control of a Mobile Robot: Navigation through a Virtual Environment	Jul 13, 2020	Robot Navigation	—Unverified
Situation-Aware Pedestrian Trajectory Prediction with Spatio-Temporal Attention Model	Feb 13, 2019	Autonomous DrivingCollision Avoidance	—Unverified
Sliding Sequential CVAE with Time Variant Socially-aware Rethinking for Trajectory Prediction	Oct 28, 2021	Autonomous DrivingPedestrian Trajectory Prediction	—Unverified
Smoothness-based Edge Detection using Low-SNR Camera for Robot Navigation	Oct 3, 2017	Edge DetectionRobot Navigation	—Unverified
Social-LLaVA: Enhancing Robot Navigation through Human-Language Reasoning in Social Spaces	Dec 30, 2024	2kRobot Navigation	—Unverified
Socially and Contextually Aware Human Motion and Pose Forecasting	Jul 14, 2020	DecoderHuman Dynamics	—Unverified
Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation	Mar 28, 2022	Imitation LearningNavigate	—Unverified
SoftEnNet: Symbiotic Monocular Depth Estimation and Lumen Segmentation for Colonoscopy Endorobots	Jan 19, 2023	Depth EstimationMonocular Depth Estimation	—Unverified
Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation	Oct 2, 2018	Marine Robot NavigationNavigate	—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	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