Articles

Autonomous Navigation

Proactive Guidance for Accurate UAV Landing on a Dynamic Platform: A Visual–Inertial Approach
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Autonomous Navigation

Agile Off-Road TerrainTraversal of an Ackermann Steered Platform using Deep Reinforcement Learning
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Autonomous Navigation

Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation
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Mobile Manipulation and Deep Learning

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
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Mobile Manipulation and Deep Learning

Multimodal Immersive Digital Twin Platform for Cyber–Physical Robot Fleets in Nuclear Environments
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Mapping

Coarse-to-fine Hybrid 3D Mapping System with Co-calibrated Omnidirectional Camera and Non-repetitive LiDAR
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Mapping

Combining LiDAR SLAM and Deep Learning-Based People Detection for AutonomousIndoor Mapping in a Crowded Environment
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SLAM/VSLAM

SLAM/VSLAM

YDD-SLAM: Indoor DynamicVisual SLAM Fusing YOLOv5 with Depth Information
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SLAM/VSLAM

S3E: A Large-Scale Multimodal Dataset for Collaborative SLAM Online Localization and Colored Mesh Reconstruction Architecture for 3D Visual Feedback in Robotic Exploration Missions
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SLAM/VSLAM

Ground-Challenge: A Multi-Sensor SLAM Dataset Focusing on Corner Cases for Ground Robots
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SLAM/VSLAM

Combining LiDAR SLAM and Deep Learning-Based People Detection for Autonomous Indoor Mapping in a Crowded Environment
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SLAM/VSLAM

Experimental Evaluation and Comparison of LiDAR SLAM Algorithms for Mobile Robotics
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Autonomous Driving and Path Planning

Autonomous Driving and Path Planning

Multi-Task Option Learning and Discovery for Stochastic Path Planning
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Autonomous Driving and Path Planning

Energy Sufficiency inUnknown Environments via Control Barrier Functions
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Autonomous Driving and Path Planning

Development of AutonomousDriving Patrol Robot for Improving Underground Mine Safety
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Autonomous Driving and Path Planning

putn: A Plane-Fitting BasedUneven Terrain Navigation Framework
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Autonomous Driving and Path Planning

Optimal Control ofConnected Automated Vehicles with Event-Triggered Control Barrier Functions: ATest Bed for Safe Optimal Mergin
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