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	Hype
Research on Edge Detection of LiDAR Images Based on Artificial Intelligence Technology	Jun 14, 2024	Autonomous DrivingComputational Efficiency	—Unverified	0
BEACON: A Bayesian Optimization Strategy for Novelty Search in Expensive Black-Box Systems	Jun 5, 2024	Bayesian OptimizationDrug Discovery	—Unverified	0
Learning Semantic Traversability with Egocentric Video and Automated Annotation Strategy	Jun 5, 2024	Image SegmentationRobot Navigation	—Unverified	0
Reinforcement Learning as a Robotics-Inspired Framework for Insect Navigation: From Spatial Representations to Neural Implementation	Jun 3, 2024	Reinforcement Learning (RL)Robot Navigation	—Unverified	0
Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds	May 26, 2024	Imitation LearningMotion Planning	—Unverified	0
Deep Reinforcement Learning with Enhanced PPO for Safe Mobile Robot Navigation	May 25, 2024	Autonomous NavigationDeep Reinforcement Learning	CodeCode Available	2
Collision Avoidance Metric for 3D Camera Evaluation	May 16, 2024	Autonomous DrivingCollision Avoidance	CodeCode Available	0
RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation	May 9, 2024	Natural Language QueriesRobot Navigation	—Unverified	0
LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning	May 7, 2024	Offline RLRobot Manipulation	CodeCode Available	1
Direct learning of home vector direction for insect-inspired robot navigation	May 6, 2024	NavigateRobot Navigation	—Unverified	0

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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