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
Floorplan-SLAM: A Real-Time, High-Accuracy, and Long-Term Multi-Session Point-Plane SLAM for Efficient Floorplan Reconstruction	Mar 1, 2025	GPUPose Estimation	—Unverified
FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning	May 16, 2018	Deep Reinforcement LearningNavigate	—Unverified
Formal Verification and Control with Conformal Prediction	Aug 31, 2024	ArticlesConformal Prediction	—Unverified
Formal Verification of Stochastic Systems with ReLU Neural Network Controllers	Mar 8, 2021	Robot Navigation	—Unverified
From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation	Jan 7, 2021	FairnessRobot Navigation	—Unverified
Fully Convolutional Search Heuristic Learning for Rapid Path Planners	Aug 9, 2019	Robot Navigation	—Unverified
Future Frame Prediction of a Video Sequence	Aug 31, 2020	Autonomous DrivingDecision Making	—Unverified
Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze	Sep 23, 2019	Deep Reinforcement Learningreinforcement-learning	—Unverified
Fast Geometric Surface based Segmentation of Point Cloud from Lidar Data	May 6, 2020	Point Cloud SegmentationRobot Navigation	—Unverified
Fast and Robust Detection of Fallen People from a Mobile Robot	Mar 9, 2017	Robot NavigationSemantic Segmentation	—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