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 191–200 of 542 papers

Title	Date	Tasks	Status
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning	Oct 12, 2021	Multi-agent Reinforcement LearningQ-Learning	—Unverified
Decentralized Cooperative Multi-Agent Reinforcement Learning with Exploration	Sep 29, 2021	Multi-agent Reinforcement LearningQ-Learning	—Unverified
Audio Visual Language Maps for Robot Navigation	Mar 13, 2023	NavigateRobot Navigation	—Unverified
AI-Enhanced 3D RF Representation Using Low-Cost mmWave Radar	Nov 4, 2018	RF-based Pose EstimationRobot Navigation	—Unverified
A Critical Analysis of Image-based Camera Pose Estimation Techniques	Jan 15, 2022	Autonomous DrivingCamera Localization	—Unverified
A Vision-Based Navigation System for Arable Fields	Sep 21, 2023	Image SegmentationNavigate	—Unverified
Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments	Oct 26, 2016	counterfactualCounterfactual Reasoning	—Unverified
High-Resolution Depth Maps Based on TOF-Stereo Fusion	Jul 30, 2021	CPURobot Navigation	—Unverified
Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning	Jan 31, 2024	Deep Reinforcement LearningGraph Neural Network	—Unverified
A Hybrid Evolutionary Approach for Multi Robot Coordinated Planning at Intersections	Dec 2, 2024	Motion PlanningRobot Navigation	—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