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3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic Navigation
Safe motion planning in robotics requires planning into space which has been verified to be free of obstacles. However, obtaining such …
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3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic Navigation
Informative Path Planning for Active Learning in Aerial Semantic Mapping
Semantic segmentation of aerial imagery is an important tool for mapping and earth observation. However, supervised deep learning …
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Informative Path Planning for Active Learning in Aerial Semantic Mapping
Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing
Aerial robots are increasingly being utilized for environmental monitoring and exploration. However, a key challenge is efficiently …
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Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing
Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation
In this paper, we address the problem of adaptive path planning for accurate semantic segmentation of terrain using unmanned aerial …
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Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation
Elastic and Efficient LiDAR Reconstruction for Large-Scale Exploration Tasks
We present an efficient, elastic 3D LiDAR reconstruction framework which can reconstruct up to maximum LiDAR ranges (60 m) at multiple …
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Elastic and Efficient LiDAR Reconstruction for Large-Scale Exploration Tasks
Aerial Manipulation Using Hybrid Force and Position NMPC Applied to Aerial Writing
Aerial manipulation aims at combining the maneuverability of aerial vehicles with the manipulation capabilities of robotic arms. This, …
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Aerial Manipulation Using Hybrid Force and Position NMPC Applied to Aerial Writing
Informative Path Planning for Active Field Mapping under Localization Uncertainty
Information gathering algorithms play a key role in unlocking the potential of robots for efficient data collection in a wide range of …
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Informative Path Planning for Active Field Mapping under Localization Uncertainty
Active Learning for UAV-based Semantic Mapping
Unmanned aerial vehicles combined with computer vision systems, such as convolutional neural networks, offer a flexible and affordable …
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Active Learning for UAV-based Semantic Mapping
Obstacle-aware Adaptive Informative Path Planning for UAV-based Target Search
Target search with unmanned aerial vehicles (UAVs) is relevant problem to many scenarios, e.g., search and rescue (SaR). However, a key …
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Obstacle-aware Adaptive Informative Path Planning for UAV-based Target Search
Navigation aware planning for tandem UAV missions in GNSS challenging environments
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