CV
Summary
PhD student in robot learning from human feedback at ALR@KIT, supervised by Prof. Gerhard Neumann.
Education
- PhD in Computer Science (Robot Learning)Karlsruhe Institute of Technology (KIT)
- M.S. in Electrical Engineering and ComputingUniversity of Belgrade
- B.S. in Electrical Engineering and ComputingUniversity of Belgrade
Work Experience
- PhD Student, Autonomous Learning Robots (ALR)2023-04-01 -Karlsruhe Institute of Technology (KIT)Research on robot learning from human feedback, supervised by Prof. Gerhard Neumann.
- PhD Student2020-01-01 - 2023-03-31Bosch Center for Artificial Intelligence (BCAI)Jointly supervised by Dr. Andras Kupcsik and Prof. Gerhard Neumann.
- Researcher-Institute of Robotics and Industrial Informatics (IRI), BarcelonaResearch on socially assistive robotics.
Publications
- Scaffolding Dexterous Manipulation with Vision-Language Models2025NeurIPS 2025Using vision-language models for dexterous robotic manipulation without human demonstrations or handcrafted rewards.
- AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction2025NeurIPS 2025A supervised learning approach to adaptive mesh generation that iteratively predicts sizing fields.
- Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts2024ICML 2024Using curriculum reinforcement learning with mixture of experts to acquire diverse robot skills.
- Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming2024
- Adversarial Imitation Learning with Preferences2023ICLR 2023Extending adversarial imitation learning to simultaneously utilize both demonstrations and preferences.
- Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors2022CoRL 2022Learning versatile behaviors from demonstrations by matching geometric descriptors.
- Automatic Learning of Cognitive Exercises for Socially Assistive Robotics2021RO-MAN 2021Automatic generation and adaptation of cognitive exercises for socially assistive robots.
- Adaptable Multimodal Interaction Framework for Robot-Assisted Cognitive Training2018HRI 2018A framework for adjusting robot assistance and interaction modalities in cognitive training.
- Resource-Based Modality Selection in Robot-Assisted Cognitive Training2018HRI 2018Resource-based approach for selecting interaction modalities in robot-assisted cognitive training.
Interests
- Robot Learning from Human Feedback
- Imitation Learning
- Human-Robot Interaction