Georgia Chalvatzaki

Orcid: 0000-0002-5055-199X

Affiliations:
  • Technical University of Darmstadt, Germany
  • National Technical University of Athens, Greece (former)


According to our database1, Georgia Chalvatzaki authored at least 59 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Bibliography

2024
Transition State Clustering for Interaction Segmentation and Learning.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023
Diversity as a Game Changer for Successful Teams in RoboCup [Women in Engineering].
IEEE Robotics Autom. Mag., March, 2023

Learning to reason over scene graphs: a case study of finetuning GPT-2 into a robot language model for grounded task planning.
Frontiers Robotics AI, February, 2023

Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation.
CoRR, 2023

Learning Multimodal Latent Dynamics for Human-Robot Interaction.
CoRR, 2023

Domain Randomization via Entropy Maximization.
CoRR, 2023

Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula.
CoRR, 2023

Active-Perceptive Motion Generation for Mobile Manipulation.
CoRR, 2023

Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural Surface Rendering.
CoRR, 2023

Accelerating Motion Planning via Optimal Transport.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical Policy Blending As Optimal Transport.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Placing by Touching: An Empirical Study on the Importance of Tactile Sensing for Precise Object Placing.
IROS, 2023

SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Hierarchical Policy Blending as Inference for Reactive Robot Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Entropy-driven Unsupervised Keypoint Representation Learning in Videos.
Proceedings of the International Conference on Machine Learning, 2023

2022
The Value of Diversity in the Robotics and Automation Society [Women in Engineering].
IEEE Robotics Autom. Mag., 2022

Robot Learning of Mobile Manipulation With Reachability Behavior Priors.
IEEE Robotics Autom. Lett., 2022

Monte-Carlo Robot Path Planning.
IEEE Robotics Autom. Lett., 2022

An information-theoretic approach to unsupervised keypoint representation learning.
CoRR, 2022

Accelerating Integrated Task and Motion Planning with Neural Feasibility Checking.
CoRR, 2022

A Semantic Enhancement of Unified Geometric Representations for Improving Indoor Visual SLAM.
Proceedings of the 19th International Conference on Ubiquitous Robots, 2022

Learning Implicit Priors for Motion Optimization.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Active Exploration for Robotic Manipulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Regularized Deep Signed Distance Fields for Reactive Motion Generation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Prioritized Sampling with Intrinsic Motivation in Multi-Task Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction.
Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

2021
The i-Walk Lightweight Assistive Rollator: First Evaluation Study.
Frontiers Robotics AI, 2021

Extended Task and Motion Planning of Long-horizon Robot Manipulation.
CoRR, 2021

Deep Leg Tracking by Detection and Gait Analysis in 2D Range Data for Intelligent Robotic Assistants.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Directed Acyclic Graph Neural Network for Human Motion Prediction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learn2Assemble with Structured Representations and Search for Robotic Architectural Construction.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Orientation Attentive Robot Grasp Synthesis.
CoRR, 2020

The I-Walk Assistive Robot - A Multimodal Intelligent Robotic Rollator Providing Cognitive and Mobility Assistance to the Elderly and Motor-Impaired.
Proceedings of the Human-Friendly Robotics 2020 - 13th International Workshop, 2020

How to Track Your Dragon: A Multi-attentional Framework for Real-Time RGB-D 6-DOF Object Pose Tracking.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

i-Walk Intelligent Assessment System: Activity, Mobility, Intention, Communication.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
Ανθρωποκεντρική μοντελοποίηση με εφαρμογή στη ρομποτική υποβοήθησης: στοχαστική εκτίμηση και ρομποτική μάθηση στη λήψη αποφάσεων
PhD thesis, 2019

Learn to Adapt to Human Walking: A Model-Based Reinforcement Learning Approach for a Robotic Assistant Rollator.
IEEE Robotics Autom. Lett., 2019

A Deep Learning Approach for Multi-View Engagement Estimation of Children in a Child-Robot Joint Attention Task.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

LSTM-based Network for Human Gait Stability Prediction in an Intelligent Robotic Rollator.
Proceedings of the International Conference on Robotics and Automation, 2019

Video Processing and Learning in Assistive Robotic Applications.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Augmented Human State Estimation Using Interacting Multiple Model Particle Filters With Probabilistic Data Association.
IEEE Robotics Autom. Lett., 2018

On-line Human Gait Stability Prediction using LSTMs for the fusion of Deep-based Pose Estimation and LRF-based Augmented Gait State Estimation in an Intelligent Robotic Rollator.
CoRR, 2018

A Framework for Robot Learning During Child-Robot Interaction with Human Engagement as Reward Signal.
Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication, 2018

User-Adaptive Human-Robot Formation Control for an Intelligent Robotic Walker Using Augmented Human State Estimation and Pathological Gait Characterization.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
Estimating double support in pathological gaits using an HMM-based analyzer for an intelligent robotic walker.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

Intelligent Assistive Robotic Systems for the elderly: Two real-life use cases.
Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, 2017

Towards a user-adaptive context-aware robotic walker with a pathological gait assessment system: First experimental study.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Comparative experimental validation of human gait tracking algorithms for an intelligent robotic rollator.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Experimental comparison of human gait tracking algorithms: Towards a context-aware mobility assistance robotic walker.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016

Experimental validation of human pathological gait analysis for an assisted living intelligent robotic walker.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016

2015
Hidden markov modeling of human pathological gait using laser range finder for an assisted living intelligent robotic walker.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014
Towards an intelligent robotic walker for assisted living using multimodal sensorial data.
Proceedings of the 4th International Conference on Wireless Mobile Communication and Healthcare: "Transforming healthcare through innovations in mobile and wireless technologies", 2014

Hidden Markov modeling of human normal gait using laser range finder for a mobility assistance robot.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Advances in Intelligent Mobility Assistance Robot Integrating Multimodal Sensory Processing.
Proceedings of the Universal Access in Human-Computer Interaction. Aging and Assistive Environments, 2014


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