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04/24/2023
Mono Video-Based AI Corridor for Model-Free Detection of Collision-Relevant Obstacles
The detection of previously unseen, unexpected obstacles on the road is ...
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04/21/2023
HabitatDyn Dataset: Dynamic Object Detection to Kinematics Estimation
The advancement of computer vision and machine learning has made dataset...
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02/20/2023
Arena-Rosnav 2.0: A Development and Benchmarking Platform for Robot Navigation in Highly Dynamic Environments
Following up on our previous works, in this paper, we present Arena-Rosn...
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02/06/2023
Holistic Deep-Reinforcement-Learning-based Training of Autonomous Navigation Systems
In recent years, Deep Reinforcement Learning emerged as a promising appr...
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02/06/2023
Arena-Web – A Web-based Development and Benchmarking Platform for Autonomous Navigation Approaches
In recent years, mobile robot navigation approaches have become increasi...
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01/14/2023
Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as Observation
Industrial robots are widely used in various manufacturing environments ...
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06/12/2022
Imagination-augmented Navigation Based on 2D Laser Sensor Observations
Autonomous navigation of mobile robots is an essential task for various ...
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06/12/2022
Human-Following and -guiding in Crowded Environments using Semantic Deep-Reinforcement-Learning for Mobile Service Robots
Assistance robots have gained widespread attention in various industries...
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06/12/2022
Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments
The ability to autonomously navigate safely, especially within dynamic e...
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09/23/2021
Obstacle-aware Waypoint Generation for Long-range Guidance of Deep-Reinforcement-Learning-based Navigation Approaches
Navigation of mobile robots within crowded environments is an essential ...
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09/23/2021
All-in-One: A DRL-based Control Switch Combining State-of-the-art Navigation Planners
Autonomous navigation of mobile robots is an essential aspect in use cas...
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09/23/2021
Enhancing Navigational Safety in Crowded Environments using Semantic-Deep-Reinforcement-Learning-based Navigation
Intelligent navigation among social crowds is an essential aspect of mob...
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04/21/2021
Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging
This paper presents deep unfolding neural networks to handle inverse pro...
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04/08/2021
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators
Deep Reinforcement Learning has emerged as an efficient dynamic obstacle...
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04/08/2021
Spatial Imagination With Semantic Cognition for Mobile Robots
The imagination of the surrounding environment based on experience and s...
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04/08/2021
Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems
Recently, mobile robots have become important tools in various industrie...
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12/07/2020
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging
Block-sparse regularization is already well-known in active thermal imag...
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10/24/2020
Classification of Spot-welded Joints in Laser Thermography Data using Convolutional Neural Networks
Spot welding is a crucial process step in various industries. However, c...
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08/31/2020
Integrative Object and Pose to Task Detection for an Augmented-Reality-based Human Assistance System using Neural Networks
As a result of an increasingly automatized and digitized industry, proce...
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08/02/2020
Deep-Reinforcement-Learning-Based Semantic Navigation of Mobile Robots in Dynamic Environments
Mobile robots have gained increased importance within industrial tasks s...
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01/16/2020
A Markerless Deep Learning-based 6 Degrees of Freedom PoseEstimation for with Mobile Robots using RGB Data
Augmented Reality has been subject to various integration efforts within...
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12/27/2019
Augmented-Reality-Based Visualization of Navigation Data of Mobile Robots on the Microsoft Hololens – Possibilities and Limitations
The demand for mobile robots has rapidly increased in recent years due t...
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12/27/2019