An Empirical Evaluation of Adversarial Robustness under Transfer Learning. - Todor Davchev; Timos Korres; Stathi Fotiadis; Nick Antonopoulos; Subramanian Ramamoorthy (CoRR, 2019)

Vid2Param: Online system identification from video for robotics applications. - Martin Asenov; Michael Burke; Daniel Angelov; Todor Davchev; Kartic Subr; Subramanian Ramamoorthy (CoRR, 2019)

Learning Modular Representations for Long-Term Multi-Agent Motion Predictions. - Todor Davchev; Michael Burke; Subramanian Ramamoorthy (CoRR, 2019)

Model-Based Inverse Reinforcement Learning from Visual Demonstrations. - Neha Das; Sarah Bechtle; Todor Davchev; Dinesh Jayaraman; Akshara Rai; Franziska Meier (CoRL, 2020)

Residual Learning from Demonstration. - Todor Davchev; Kevin Sebastian Luck; Michael Burke; Franziska Meier; Stefan Schaal; Subramanian Ramamoorthy (CoRR, 2020)

Vid2Param: Modeling of Dynamics Parameters From Video. - Martin Asenov; Michael Burke; Daniel Angelov; Todor Davchev; Kartic Subr; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2020)

Correction to "Vid2Param: Modelling of Dynamics Parameters From Video". - Martin Asenov; Michael Burke; Daniel Angelov; Todor Davchev; Kartic Subr; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2020)

Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning. - Todor Davchev; Sarah Bechtle; Subramanian Ramamoorthy; Franziska Meier (CoRR, 2021)

Learning Structured Representations of Spatial and Interactive Dynamics for Trajectory Prediction in Crowded Scenes. - Todor Davchev; Michael Burke; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2021)

Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation. - Todor Davchev; Oleg Olegovich Sushkov; Jean-Baptiste Regli; Stefan Schaal; Yusuf Aytar; Markus Wulfmeier; Jon Scholz (ICLR, 2022)

Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation. - Todor Davchev; Kevin Sebastian Luck; Michael Burke; Franziska Meier; Stefan Schaal; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2022)

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Devin; Alex X. Lee; Maria Bauzá 001; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (CoRR, 2023)

Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks. - Ben Eisner; Yi Yang 007; Todor Davchev; Mel Vecerík; Jonathan Scholz; David Held (ICLR, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. - Mel Vecerík; Carl Doersch; Yi Yang 007; Todor Davchev; Yusuf Aytar; Guangyao Zhou; Raia Hadsell; Lourdes Agapito; Jon Scholz (ICRA, 2024)

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation. - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Manon Devin; Alex X. Lee; Maria Bauzá Villalonga; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (Trans. Mach. Learn. Res., 2024)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)

Value from Observations: Towards Large-Scale Imitation Learning via Self-Improvement. - Michael Bloesch; Markus Wulfmeier; Philemon Brakel; Todor Davchev; Martina Zambelli; Jost Tobias Springenberg; Abbas Abdolmaleki; William F. Whitney; Nicolas Heess; Roland Hafner; Martin A. Riedmiller (CoRR, 2025)