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 351–360 of 542 papers

Title	Date	Tasks	Status	Hype
Robots Understanding Contextual Information in Human-Centered Environments using Weakly Supervised Mask Data Distillation	Dec 15, 2020	Image CaptioningRobot Navigation	—Unverified	0
Learning Mobile Robot Navigation in the Dense Crowd with Deep Reinforcement Learning	Dec 14, 2020	Decision MakingDeep Reinforcement Learning	—Unverified	0
Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments	Dec 8, 2020	Camera RelocalizationRobot Navigation	CodeCode Available	1
NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments	Dec 8, 2020	OpenAI Gymreinforcement-learning	CodeCode Available	1
Obstacle avoidance and path finding for mobile robot navigation	Dec 5, 2020	NavigateRobot Navigation	—Unverified	0
Target Reaching Behaviour for Unfreezing the Robot in a Semi-Static and Crowded Environment	Dec 2, 2020	Robot Navigation	—Unverified	0
Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks	Nov 26, 2020	Depth EstimationMixture-of-Experts	CodeCode Available	1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition	Nov 17, 2020	Autonomous DrivingAutonomous Navigation	CodeCode Available	1
Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement Learning	Nov 11, 2020	Deep Reinforcement LearningMotion Planning	CodeCode Available	1
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning	Nov 9, 2020	Deep Reinforcement LearningMotion Planning	CodeCode Available	1

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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