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 291–300 of 542 papers

Title	Date	Tasks	Status
Beyond Visual Field of View: Perceiving 3D Environment with Echoes and Vision	Jul 3, 2022	Depth EstimationRobot Navigation	—Unverified
BioDrone: A Bionic Drone-based Single Object Tracking Benchmark for Robust Vision	Feb 7, 2024	Autonomous DrivingObject Tracking	—Unverified
Can a Robot Trust You? A DRL-Based Approach to Trust-Driven Human-Guided Navigation	Nov 1, 2020	Deep Reinforcement LearningNavigate	—Unverified
CANVAS: Commonsense-Aware Navigation System for Intuitive Human-Robot Interaction	Oct 2, 2024	Imitation LearningNavigate	—Unverified
ChromaTag: A Colored Marker and Fast Detection Algorithm	Aug 9, 2017	Robot NavigationTAG	—Unverified
Closed-Loop Open-Vocabulary Mobile Manipulation with GPT-4V	Apr 16, 2024	Instruction FollowingMultimodal Reasoning	—Unverified
ClusVPR: Efficient Visual Place Recognition with Clustering-based Weighted Transformer	Oct 6, 2023	ClusteringRobot Navigation	—Unverified
CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration	Sep 26, 2023	Autonomous VehiclesImage to Point Cloud Registration	—Unverified
Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications	Mar 2, 2023	Hierarchical Reinforcement Learningreinforcement-learning	—Unverified
COLSON: Controllable Learning-Based Social Navigation via Diffusion-Based Reinforcement Learning	Mar 18, 2025	Deep Reinforcement Learningreinforcement-learning	—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