38 citations · 46 across the 11 of their papers we have counts for
11 papers
Demonstrating Arena 5.0: A Photorealistic ROS2 Simulation Framework for Developing and Benchmarking Social Navigation
Volodymyr Shcherbyna, Linh Kästner, Duc Anh Do +13
Building upon the foundations laid by our previous work, this paper introduces Arena 5.0, the fifth iteration of our framework for robotics social navigation development and benchm…
Mono Video-Based AI Corridor for Model-Free Detection of Collision-Relevant Obstacles
Thomas Michalke, Yassin Kaddar, Thomas Nürnberg +2
The detection of previously unseen, unexpected obstacles on the road is a major challenge for automated driving systems. Different from the detection of ordinary objects with pre-d…
HabitatDyn Dataset: Dynamic Object Detection to Kinematics Estimation
Zhengcheng Shen, Yi Gao, Linh Kästner +1
The advancement of computer vision and machine learning has made datasets a crucial element for further research and applications. However, the creation and development of robots w…
Holistic Deep-Reinforcement-Learning-based Training of Autonomous Navigation Systems
Linh Kästner, Marvin Meusel, Teham Bhuiyan +1
In recent years, Deep Reinforcement Learning emerged as a promising approach for autonomous navigation of ground vehicles and has been utilized in various areas of navigation such…
Arena-Web -- A Web-based Development and Benchmarking Platform for Autonomous Navigation Approaches
Linh Kästner, Reyk Carstens, Christopher Liebig +4
In recent years, mobile robot navigation approaches have become increasingly important due to various application areas ranging from healthcare to warehouse logistics. In particula…
Arena-Rosnav 2.0: A Development and Benchmarking Platform for Robot Navigation in Highly Dynamic Environments
Linh Kästner, Reyk Carstens, Huajian Zeng +5
Following up on our previous works, in this paper, we present Arena-Rosnav 2.0 an extension to our previous works Arena-Bench and Arena-Rosnav, which adds a variety of additional m…
Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as Observation
Teham Bhuiyan, Linh Kästner, Yifan Hu +2
Industrial robots are widely used in various manufacturing environments due to their efficiency in doing repetitive tasks such as assembly or welding. A common problem for these ap…
Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments
Linh Kästner, Teham Bhuiyan, Tuan Anh Le +9
The ability to autonomously navigate safely, especially within dynamic environments, is paramount for mobile robotics. In recent years, DRL approaches have shown superior performan…
Imagination-augmented Navigation Based on 2D Laser Sensor Observations
Zhengcheng Shen, Linh Kästner, Magdalena Yordanova +1
Autonomous navigation of mobile robots is an essential task for various industries. Sensor data is crucial to ensure safe and reliable navigation. However, sensor observations are…
Human-Following and -guiding in Crowded Environments using Semantic Deep-Reinforcement-Learning for Mobile Service Robots
Linh Kästner, Bassel Fatloun, Zhengcheng Shen +2
Assistance robots have gained widespread attention in various industries such as logistics and human assistance. The tasks of guiding or following a human in a crowded environment…
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging
Samim Ahmadi, Jan Christian Hauffen, Linh Kästner +3
Block-sparse regularization is already well-known in active thermal imaging and is used for multiple measurement based inverse problems. The main bottleneck of this method is the c…