Triebel, Rudolph

Implicit 3D Orientation Learning for 6D Object Detection from RGB Images

Sundermeyer, M., Marton, Z.-C., Durner, M., Brucker, M., & Triebel, R. (2018) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsRobot Manipulation and Learning

Cited by 564

A Survey of Uncertainty in Deep Neural Networks

Gawlikowski, J., Tassi, C. R. N., Ali, M., Lee, J., Humt, M., Feng, J., Kruspe, A., Triebel, R., Jung, P., Roscher, R., et al. (2021) · arXiv

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 232

A Photorealistic Terrain Simulation Pipeline for Unstructured Outdoor Environments

Muller, M. G., Durner, M., Gawel, A., Sturzl, W., Triebel, R., & Siegwart, R. (2021) · 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Robotics and Sensor-Based LocalizationReinforcement Learning in Robotics

Cited by 37

6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics

Ulmer, M., Durner, M., Sundermeyer, M., Stoiber, M., & Triebel, R. (2023) · 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Space Satellite Systems and ControlAdvanced Neural Network Applications

Cited by 23

Introspective Perception for Long-Term Aerial Telemanipulation With Virtual Reality

Lee, J., Balachandran, R., Kondak, K., Coelho, A., Stefano, M. D., Humt, M., Feng, J., Asfour, T., & Triebel, R. (2024) · IEEE Transactions on Field Robotics

Teleoperation and Haptic SystemsRobot Manipulation and Learning

Cited by 8