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 121–130 of 542 papers

Title	Date	Tasks	Status	Score
Corners for Layout: End-to-End Layout Recovery from 360 Images	Mar 19, 2019	3D Room Layouts From A Single RGB PanoramaRobot Navigation	CodeCode Available	5
Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer	Mar 11, 2020	Reinforcement LearningRobot Navigation	CodeCode Available	5
Contrastive Learning for Image Registration in Visual Teach and Repeat Navigation	Apr 13, 2022	Contrastive LearningImage Registration	CodeCode Available	5
Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation	Mar 26, 2025	Decision MakingModel-based Reinforcement Learning	CodeCode Available	5
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation	Sep 29, 2017	Deep Reinforcement LearningNavigate	CodeCode Available	5
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation	Mar 21, 2018	Deep Reinforcement Learningmodel	CodeCode Available	5
Lyapunov-based Safe Policy Optimization for Continuous Control	Jan 28, 2019	continuous-controlContinuous Control	CodeCode Available	5
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation	Oct 16, 2018	Reinforcement LearningRobot Navigation	CodeCode Available	5
Learning Representations Specialized in Spatial Knowledge: Leveraging Language and Vision	Jan 1, 2018	Dependency ParsingObject	CodeCode Available	5
Learning a Representation Map for Robot Navigation using Deep Variational Autoencoder	Jul 5, 2018	Robot Navigation	CodeCode Available	5

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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