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 441–450 of 542 papers

Title	Date	Tasks	Status
Measuring robustness of Visual SLAM	Oct 10, 2019	Robot NavigationSimultaneous Localization and Mapping	—Unverified
Object Segmentation Tracking from Generic Video Cues	Oct 5, 2019	ObjectOptical Flow Estimation	—Unverified
DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local & Global Collision Avoidance	Oct 4, 2019	Collision AvoidanceDeep Reinforcement Learning	—Unverified
Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos	Oct 1, 2019	Autonomous DrivingCamera Pose Estimation	—Unverified
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals	Sep 27, 2019	Autonomous DrivingMulti-agent Reinforcement Learning	—Unverified
Multi-Agent Hierarchical Reinforcement Learning for Humanoid Navigation	Sep 25, 2019	Collision AvoidanceHierarchical Reinforcement Learning	—Unverified
Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze	Sep 23, 2019	Deep Reinforcement Learningreinforcement-learning	—Unverified
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets	Sep 22, 2019	Robot Navigation	—Unverified
Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation	Sep 20, 2019	Imitation LearningNavigate	—Unverified
Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation	Sep 14, 2019	Deep Reinforcement LearningNavigate	—Unverified

Show:10 25 50

← PrevPage 45 of 55Next →

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