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
Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents	Sep 3, 2024	Robot Navigation	—Unverified
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting	Sep 3, 2024	3DGSGPU	—Unverified
DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction	Sep 3, 2024	Mixed RealityMonocular Reconstruction	—Unverified
Formal Verification and Control with Conformal Prediction	Aug 31, 2024	ArticlesConformal Prediction	—Unverified
Robot Navigation with Entity-Based Collision Avoidance using Deep Reinforcement Learning	Aug 26, 2024	Collision AvoidanceDeep Reinforcement Learning	—Unverified
Reflex-Based Open-Vocabulary Navigation without Prior Knowledge Using Omnidirectional Camera and Multiple Vision-Language Models	Aug 21, 2024	Robot NavigationSimultaneous Localization and Mapping	—Unverified
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs	Aug 19, 2024	continuous-controlContinuous Control	—Unverified
Toward Pedestrian Head Tracking: A Benchmark Dataset and an Information Fusion Network	Aug 12, 2024	Autonomous DrivingCollision Avoidance	—Unverified
Language-Conditioned Offline RL for Multi-Robot Navigation	Jul 29, 2024	Offline RLRobot Navigation	—Unverified
Malicious Path Manipulations via Exploitation of Representation Vulnerabilities of Vision-Language Navigation Systems	Jul 10, 2024	Language ModelingLanguage Modelling	—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