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Towards Safe Human-Robot Collaboration Using Deep Reinforcement Learning

M. El-Shamouty, X. Wu, S. Yang, M. Albus, and M. Huber. 2020 IEEE International Conference on Robotics and Automation (ICRA), page 4899-4905. Piscataway, IEEE, (2020)
DOI: 10.1109/ICRA40945.2020.9196924

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Univ. -Prof. Dr. -Ing. habil. Marco Huber University of Stuttgart

F. Dörr

Marco Ströbel University of Stuttgart

F. Laufer

F. Rusitschka

Other publications of authors with the same name

Parameter identification and reconstruction for distributed phenomena based on hybrid density filter.F. Sawo, M. Huber, and U. Hanebeck. FUSION, page 1-8. IEEE, (2007)Survey on Automated Machine Learning.M. Zöller, and M. Huber. CoRR, (2019)Instantaneous pose estimation using rotation vectors.F. Beutler, M. Huber, and U. Hanebeck. ICASSP, page 3413-3416. IEEE, (2009)Closed-Form Prediction of Nonlinear Dynamic Systems by Means of Gaussian Mixture Approximation of the Transition Density.M. Huber, D. Brunn, and U. Hanebeck. MFI, page 98-103. IEEE, (2006)Stochastic model predictive control of time-variant nonlinear systems with imperfect state information.F. Weissel, T. Schreiter, M. Huber, and U. Hanebeck. MFI, page 40-46. IEEE, (2008)On entropy approximation for Gaussian mixture random vectors.M. Huber, T. Bailey, H. Durrant-Whyte, and U. Hanebeck. MFI, page 181-188. IEEE, (2008)Semi-analytic stochastic linearization for range-based pose tracking.F. Beutler, M. Huber, and U. Hanebeck. MFI, page 44-49. IEEE, (2010)A Study on Trust in Black Box Models and Post-hoc Explanations.N. Bekri, J. Kling, and M. Huber. SOCO, volume 950 of Advances in Intelligent Systems and Computing, page 35-46. Springer, (2019)Hybrid transition density approximation for efficient recursive prediction of nonlinear dynamic systems.M. Huber, and U. Hanebeck. IPSN, page 283-292. ACM, (2007)Reduced Feature Set for Emotion Recognition Based on Angle and Size Information.P. Dunau, M. Bonny, M. Huber, and J. Beyerer. IAS, volume 867 of Advances in Intelligent Systems and Computing, page 585-596. Springer, (2018)