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 131–140 of 542 papers

Title	Date	Tasks	Status
Intelligent Spatial Perception by Building Hierarchical 3D Scene Graphs for Indoor Scenarios with the Help of LLMs	Mar 19, 2025	ObjectRobot Navigation	—Unverified
COLSON: Controllable Learning-Based Social Navigation via Diffusion-Based Reinforcement Learning	Mar 18, 2025	Deep Reinforcement Learningreinforcement-learning	—Unverified
WMINet: A Wheel-Mounted Inertial Learning Approach For Mobile-Robot Positioning	Mar 17, 2025	Robot Navigation	—Unverified
Multi-Platform Teach-and-Repeat Navigation by Visual Place Recognition Based on Deep-Learned Local Features	Mar 17, 2025	Robot NavigationVisual Localization	—Unverified
Reach-Avoid-Stay-Collision-Avoidance Negotiation Framework for Multi-Agent Systems via Spatiotemporal Tubes	Mar 13, 2025	Collision AvoidanceDrone navigation	—Unverified
Vi-LAD: Vision-Language Attention Distillation for Socially-Aware Robot Navigation in Dynamic Environments	Mar 12, 2025	Knowledge DistillationMotion Planning	—Unverified
Keypoint Semantic Integration for Improved Feature Matching in Outdoor Agricultural Environments	Mar 11, 2025	Pose EstimationRobot Navigation	—Unverified
Spatiotemporal Tubes based Controller Synthesis against Omega-Regular Specifications for Unknown Systems	Mar 11, 2025	Robot Navigation	—Unverified
ISC-POMDPs: Partially Observed Markov Decision Processes with Initial-State Dependent Costs	Mar 6, 2025	Robot Navigation	—Unverified
Reliable and Efficient Multi-Agent Coordination via Graph Neural Network Variational Autoencoders	Mar 4, 2025	Graph Neural NetworkRobot 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	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