Georgia Chalvatzaki

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Research Interests

Robotics, Perception Systems Human-Robot Interaction & Collaboration Deep Reinforcement Learning

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Contact Information

Mail. Georgia Chalvatzaki, FG-IAS, FB-Informatik, TU Darmstadt, Hochschulstr 10, 64289 Darmstadt
Office. Room E326, S2|02
work(lab) +49-6151-16-25380


Georgia Chalvatzaki is a Postdoctoral Researcher in the Intelligent Autonomous Systems group working on working on Robot Learning for Mobile Manipulation in Assistive Robotics. Georgia joined the lab in October 2019 after completing her Ph.D. studies in the Intelligent Robotics and Automation Lab of the Electrical and Computer Engineering School of National Technical University of Athens, Greece (https://robotics.ntua.gr/ ) in 2019.

Her PhD thesis, titled "Human-Centered Modelling for Assistive Robotics: Stochastic Estimation and Robot Learning in Decision Making", covered a wide range of topics regarding estimation, learning and control for human-robot systems. She also gained a valuable experience as a research assistant in research projects: MOBOT, i-Support, Babyrobot and iWalk.

Key references

Chalvatzaki, G.;Papageorgiou, X.; Maragos, P.; Tzafestas, C. (2019). Learn to adapt to human walking: A Model-based Reinforcement Learning Approach for a Robotic Assistant Rollator, in: IEEE (eds.), IEEE Robotics and Automation Letters, 4, 4, pp.3774 - 3781.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Chalvatzaki, G.; Koutras, P.; Hadfield, J.; Papageorgiou, X.; Tzafestas, C.; Maragos, P. (2019). LSTM-based Network for Human Gait Stability Prediction in an Intelligent Robotic Rollator, IEEE International Conference on Robotics and Automation (ICRA), pp.4225-4232, IEEE.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Chalvatzaki, G.; Papageorgiou, X.; Tzafestas, C.; Maragos, P. (2018). Augmented Human State Estimation Using Interacting Multiple Model Particle Filters With Probabilistic Data Association, IEEE Robotics and Automation Letters, 3, 3, pp.1872-1879, IEEE.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Chalvatzaki, G.;Papageorgiou, X.; Maragos, P.; Tzafestas, C. (2018). User-Adaptive Human-Robot Formation Control for an Intelligent Robotic Walker Using Augmented Human State Estimation and Pathological Gait Characterization, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.6016-6022, IEEE.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Chalvatzaki, G.; Papageorgiou, X.; Tzafestas, C.; Maragos, P. (2017). Comparative experimental validation of human gait tracking algorithms for an intelligent robotic rollator, IEEE International Conference on Robotics and Automation (ICRA), pp.6026-6031, IEEE.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Chalvatzaki, G.; Papageorgiou, X.; Tzafestas, C. (2017). Towards a user-adaptive context-aware robotic walker with a pathological gait assessment system: First experimental study, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.5037-5042, IEEE.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

  

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