Linh Kästner
Orcid: 0000-0001-5263-4687
According to our database1,
Linh Kästner
authored at least 40 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
Odometry-Less Indoor Dynamic Object Detection and Localization with Spatial Anticipation.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2024
2023
Arena-Rosnav 2.0: A Development and Benchmarking Platform for Robot Navigation in Highly Dynamic Environments.
CoRR, 2023
Holistic Deep-Reinforcement-Learning-based Training of Autonomous Navigation Systems.
CoRR, 2023
Arena-Web - A Web-based Development and Benchmarking Platform for Autonomous Navigation Approaches.
CoRR, 2023
Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as Observation.
CoRR, 2023
A Hybrid Hierarchical Navigation Architecture for Highly Dynamic Environments Using Time-Space Optimization.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2023
Demonstrating Arena-Web: A Web-based Development and Benchmarking Platform for Autonomous Navigation Approaches.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
Predicting Navigational Performance of Dynamic Obstacle Avoidance Approaches Using Deep Neural Networks.
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023
Evaluating Optimization Approaches for Deep-Reinforcement-Learning-based Navigation Agents.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023
Mono Video-Based AI Corridor for Model-Free Detection of Collision-Relevant Obstacles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Arena-Rosnav 2.0: A Development and Benchmarking Platform for Robot Navigation in Highly Dynamic Environments.
IROS, 2023
Towards Real-Time Motion Planning for Industrial Robots in Collaborative Environments.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023
Holistic Deep-Reinforcement-Learning-based Training for Autonomous Navigation in Crowded Environments.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023
2022
Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging.
IEEE Trans. Instrum. Meas., 2022
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging.
Sensors, 2022
Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments.
IEEE Robotics Autom. Lett., 2022
Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments.
CoRR, 2022
Enhancing Navigational Safety in Crowded Environments using Semantic-Deep-Reinforcement-Learning-based Navigation.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2022
Influence of Sensor Noise and Latency on Navigational Safety of Deep-Reinforcement-Learning-based Planners.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2022
Human-Following and -guiding in Crowded Environments using Semantic Deep-Reinforcement-Learning for Mobile Service Robots.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
All-in-One: A DRL-based Control Switch Combining State-of-the-art Navigation Planners.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
Towards commissioning, resilience and added value of Augmented Reality in robotics: Overcoming technical obstacles to industrial applicability.
Robotics Comput. Integr. Manuf., 2021
Obstacle-aware Waypoint Generation for Long-range Guidance of Deep-Reinforcement-Learning-based Navigation Approaches.
CoRR, 2021
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators.
CoRR, 2021
Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems.
CoRR, 2021
Classification of Spot-Welded Joints in Laser Thermography Data Using Convolutional Neural Networks.
IEEE Access, 2021
Autonomous Navigation in Complex Environments using Memory-Aided Deep Reinforcement Learning.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Arena-Rosnav: Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
2020
Integrative Object and Pose to Task Detection for an Augmented-Reality-based Human Assistance System using Neural Networks.
CoRR, 2020
A Markerless Deep Learning-based 6 Degrees of Freedom PoseEstimation for with Mobile Robots using RGB Data.
CoRR, 2020
A Markerless Deep Learning-based 6 Degrees of Freedom Pose Estimation for Mobile Robots using RGB Data.
Proceedings of the 17th International Conference on Ubiquitous Robots, 2020
A 3D-Deep-Learning-based Augmented Reality Calibration Method for Robotic Environments using Depth Sensor Data.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Deep-Reinforcement-Learning-Based Semantic Navigation of Mobile Robots in Dynamic Environments.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020
2019
Augmented-Reality-Based Visualization of Navigation Data of Mobile Robots on the Microsoft Hololens - Possibilities and Limitations.
Proceedings of the 2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2019
Towards the Usage of Synthetic Data for Marker-Less Pose Estimation of Articulated Robots in RGB Images.
Proceedings of the 19th International Conference on Advanced Robotics, 2019