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 271–280 of 542 papers

Title	Date	Tasks	Status
APPLD: Adaptive Planner Parameter Learning from Demonstration	Mar 31, 2020	Robot Navigation	—Unverified
Applying the Wizard-of-Oz Technique to Multimodal Human-Robot Dialogue	Mar 10, 2017	Dialogue ManagementManagement	—Unverified
A Real-Time Deep Learning Pedestrian Detector for Robot Navigation	Jul 15, 2016	Deep LearningPedestrian Detection	—Unverified
Arena-Web -- A Web-based Development and Benchmarking Platform for Autonomous Navigation Approaches	Feb 6, 2023	Autonomous NavigationBenchmarking	—Unverified
A Spatio-temporal Graph Network Allowing Incomplete Trajectory Input for Pedestrian Trajectory Prediction	Jan 22, 2025	Pedestrian Trajectory PredictionPrediction	—Unverified
Assurance Monitoring of Cyber-Physical Systems with Machine Learning Components	Jan 14, 2020	BIG-bench Machine LearningConformal Prediction	—Unverified
Astra: Toward General-Purpose Mobile Robots via Hierarchical Multimodal Learning	Jun 6, 2025	Robot NavigationSelf-Supervised Learning	—Unverified
A survey of Object Classification and Detection based on 2D/3D data	May 29, 2019	Autonomous DrivingGeneral Classification	—Unverified
A Survey on Human-aware Robot Navigation	Jun 22, 2021	Activity RecognitionHuman Activity Recognition	—Unverified
Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning	Jan 31, 2024	Deep Reinforcement LearningGraph Neural Network	—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