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Zehn ausgewählte Publikationen

• Prasad V, Kshirsagar A, Koert D, Stock-Homburg R, Peters J, & Chalvatzaki G (2024).
  MoVEInt: Mixture of Variational Experts for Learning Human–Robot Interactions From Demonstrations.
  IEEE Robotics and Automation Letters (RAL), 9(7), pp. 6043-6050.
  DOI: 10.1109/LRA.2024.3396074
  
  
• Jauhri S, Lunawat I, & Chalvatzaki G (2024).
  Learning any-view 6dof robotic grasping in cluttered scenes via neural surface rendering.
  Robotics: Science & Systems (RSS).
  URL: https://roboticsconference.org/program/papers/46/
  
  
• Hansel K, Urain J, Peters J, & Chalvatzaki G (2023).
  Hierarchical policy blending as inference for reactive robot control.
  IEEE  International  Conference  in  Robotics  and  Automation (ICRA). 10181-10188.
  DOI: 10.1109/ICRA48891.2023.10161374
  
  
• Liu P, Zhang K, Tateo D, Jauhri S, Hu Z, Peters J, & Chalvatzaki G (2023).
  Safe reinforcement learning of dynamic high-dimensional robotic tasks: navigation, manipulation, interaction.
  IEEE International  Conference  in  Robotics  and  Automation  (ICRA). 9449-9456.
  DOI: 10.1109/ICRA48891.2023.10161548
  
  
• Urain J, Funk N, Peters J, & Chalvatzaki G (2023).
  SE(3)-diffusionfields: Learning smooth cost functions for joint grasp and motion optimization through diffusion.
  IEEE International Conference in Robotics and Automation (ICRA).
  DOI: 10.1109/ICRA48891.2023.10161569
  
  
• Jauhri S, Peters J, & Chalvatzaki G (2022).
  Robot learning of mobile manipulation with reachability behavior priors.
  IEEE Robotics and Automation Letters (RAL), 7(3), 8399-8406.
  DOI: 10.1109/LRA.2022.3188109
  
  
• Funk N, Chalvatzaki G, Belousov B, & Peters J (2022).
  Learn2assemble with structured representations and search for robotic architectural construction.
  Proceedings  of  the  5th Conference  on  Robot  Learning, PMLR 164:1401-1411.
  URL: https://openreview.net/pdf?id=wBT0lZJAJ0V
  
  
• Morgan AS, Nandha D, Chalvatzaki G, D’Eramo C, Dollar AM, & Peters J (2021).
  Model predictive actor-critic: Accelerating robot skill acquisition with deep reinforcement learning.
  IEEE International Conference on Robotics and Automation (ICRA), Xi’an, China, 6672-6678.
  DOI: 10.1109/ICRA48506.2021.9561298
  
  
• Chalvatzaki G, Papageorgiou XS, Maragos P, & Tzafestas CS (2019). 
  Learn to adapt to human walking: A model-based reinforcement learning approach for a robotic assistant rollator.
  IEEE Robotics and Automation Letters, 4(4), 3774-3781.
  DOI: 10.1109/LRA.2019.2929996
  
  
• Chalvatzaki G, Papageorgiou XS, Tzafestas CS, & Maragos P (2018). 
  Augmented human state estimation using interacting multiple model particle filters with probabilistic data association.
  IEEE Robotics and Automation Letters, 3(3), 1872-1879. 
  DOI: 10.1109/LRA.2018.2800084