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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 41–50 of 542 papers

Title	Date	Tasks	Status	Hype
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning	Nov 9, 2020	Deep Reinforcement LearningMotion Planning	CodeCode Available	1
Deep Reinforcement Learning-Based Mapless Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile Robots	Apr 7, 2023	Deep Reinforcement LearningNavigate	CodeCode Available	1
Benchmarking Reinforcement Learning Techniques for Autonomous Navigation	Oct 10, 2022	Autonomous NavigationBenchmarking	CodeCode Available	1
Differential Viewpoints for Ground Terrain Material Recognition	Sep 22, 2020	Autonomous DrivingMaterial Recognition	CodeCode Available	1
A Graph Neural Network to Model Disruption in Human-Aware Robot Navigation	Feb 17, 2021	Autonomous NavigationGraph Neural Network	CodeCode Available	1
A Study on Learning Social Robot Navigation with Multimodal Perception	Sep 22, 2023	Decision MakingNavigate	CodeCode Available	1
Enhanced Boundary Learning for Glass-like Object Segmentation	Mar 29, 2021	DecoderObject	CodeCode Available	1
Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues	Mar 13, 2020	ObjectRobot Navigation	CodeCode Available	1
GANav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments	Mar 7, 2021	Deep Reinforcement LearningRobot Navigation	CodeCode Available	1
BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation	Jul 29, 2020	Autonomous DrivingCollision Avoidance	CodeCode Available	1

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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