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Papers

Research Papers

Peer-reviewed papers published by our lab at top venues including ICRA, RSS, IROS, NeurIPS, and more.

Arena-Rosnav 5.0: A Photorealistic ROS2 Simulation Framework for Developing and Benchmarking Social Navigation

Arena-Rosnav 5.0: A Photorealistic ROS2 Simulation Framework for Developing and Benchmarking Social Navigation

Volodymyr Shcherbyna, Linh Kästner, Huajian Zeng, Giang Nguyen Huu Truong, Tim Lenz, Nam Truong Tran, Ahmed Martban, and Harold Soh

Robotics Science and Systems 2025, Los Angeles, USA2025-04-01
PhotorealisticROS2Simulation
Arena-Rosnav 3.0: Advancing Social Navigation in Collaborative and Highly Dynamic Environments

Arena-Rosnav 3.0: Advancing Social Navigation in Collaborative and Highly Dynamic Environments

Linh Kästner, Volodymyr Shcherbyna, Huajian Zeng, Tuan Anh Le, Maximilian Ho-Kyoung Schreff, Halid Osmaev, Nam Truong Tran, Diego Diaz, Jan Golebiowski, Harold Soh, Jens Lambrecht

Robotics Science and Systems 2024, Delft, Netherlands2024-02-01
Social NavigationCollaborationDynamics
Arena-Web: A Web-based Development and Benchmarking Platform for Autonomous Navigation Approaches

Arena-Web: A Web-based Development and Benchmarking Platform for Autonomous Navigation Approaches

Linh Kästner, Reyk Carstens, Christopher Liebig, Volodymyr Shcherbyna, Lena Nahrworld, Subhin Lee, Jens Lambrecht

Robotics: Science and Systems 2023, Daegu, Korea2023-03-01
Web PlatformDevelopmentBenchmarking

Spotlight talk + one of six demos in main hall

Arena2D - Deep-RL-Based Navigation in Highly Dynamic Environments

Arena2D - Deep-RL-Based Navigation in Highly Dynamic Environments

Linh Kästner, Cornelius Marx, Jens Lambrecht

IEEE/RSJ IROS 2020, Las Vegas, USA2020-08-01
2D SimulationDeep RLNavigation
A 3D-Deep-Learning-based Augmented Reality Calibration Method for Robotic Environments

A 3D-Deep-Learning-based Augmented Reality Calibration Method for Robotic Environments

Linh Kästner, Vlad Frasineanu, Jens Lambrecht

IEEE ICRA 2020, Paris, France2020-05-01
ARDeep LearningCalibration
A Marker-Less AR-Calibration Method for Robotic Environments using RGB-Data

A Marker-Less AR-Calibration Method for Robotic Environments using RGB-Data

Linh Kästner, Daniel Dimitrov, Jens Lambrecht

IEEE Ubiquitous Robots 2019, Kyoto, Japan2019-07-01
ARMarkerlessRGB