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 161–170 of 542 papers

Title	Date	Tasks	Status	Hype
MIRACLE: Inverse Reinforcement and Curriculum Learning Model for Human-inspired Mobile Robot Navigation	Dec 6, 2023	NavigateRobot Navigation	—Unverified	0
Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications	Nov 28, 2023	Deep Reinforcement LearningRobot Navigation	—Unverified	0
Verified Compositional Neuro-Symbolic Control for Stochastic Systems with Temporal Logic Tasks	Nov 17, 2023	Robot Navigation	—Unverified	0
OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data	Nov 6, 2023	3D Open-Vocabulary Instance SegmentationRegion Proposal	CodeCode Available	1
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills	Oct 30, 2023	reinforcement-learningReinforcement Learning	CodeCode Available	1
Siamese-DETR for Generic Multi-Object Tracking	Oct 27, 2023	Autonomous DrivingLanguage Modelling	CodeCode Available	0
Reinforcement learning based local path planning for mobile robot	Oct 24, 2023	Q-Learningreinforcement-learning	—Unverified	0
Pixel-Level Clustering Network for Unsupervised Image Segmentation	Oct 24, 2023	Autonomous DrivingClustering	—Unverified	0
PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning	Oct 20, 2023	Collision AvoidanceDeep Reinforcement Learning	—Unverified	0
Think, Act, and Ask: Open-World Interactive Personalized Robot Navigation	Oct 12, 2023	NavigateObject	CodeCode Available	1

Show:10 25 50

← PrevPage 17 of 55Next →

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