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 221–230 of 542 papers

Title	Date	Tasks	Status	Hype
SOCIALGYM 2.0: Simulator for Multi-Agent Social Robot Navigation in Shared Human Spaces	Mar 9, 2023	Multi-agent Reinforcement LearningRobot Navigation	CodeCode Available	1
Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation	Mar 9, 2023	Autonomous DrivingDepth Estimation	CodeCode Available	1
Online Control Barrier Functions for Decentralized Multi-Agent Navigation	Mar 8, 2023	Robot Navigation	—Unverified	0
SG-LSTM: Social Group LSTM for Robot Navigation Through Dense Crowds	Mar 8, 2023	Robot NavigationSocial Navigation	—Unverified	0
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning	Mar 7, 2023	Navigatereinforcement-learning	CodeCode Available	1
Can an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Guided Exploration for Zero-Shot Object Navigation	Mar 6, 2023	Motion PlanningObject	CodeCode Available	1
Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications	Mar 2, 2023	Hierarchical Reinforcement Learningreinforcement-learning	—Unverified	0
Arena-Rosnav 2.0: A Development and Benchmarking Platform for Robot Navigation in Highly Dynamic Environments	Feb 20, 2023	BenchmarkingRobot Navigation	CodeCode Available	0
ConceptFusion: Open-set Multimodal 3D Mapping	Feb 14, 2023	3D geometryAutonomous Driving	CodeCode Available	2
Computational Tradeoff in Minimum Obstacle Displacement Planning for Robot Navigation	Feb 14, 2023	Motion PlanningRobot 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