Todor Davchev

According to our database, Todor Davchev authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation.

Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz

CoRR, 2023

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation.

Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Devin, Alex X. Lee, Maria Bauzá, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo F. Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, Jose Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess

CoRR, 2023

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

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning.

Todor Davchev, Sarah Bechtle, Subramanian Ramamoorthy, Franziska Meier

CoRR, 2021

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

Vid2Param: Modeling of Dynamics Parameters From Video.

Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy

IEEE Robotics Autom. Lett., 2020

Residual Learning from Demonstration.

Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy

CoRR, 2020

Model-Based Inverse Reinforcement Learning from Visual Demonstrations.

Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Learning Modular Representations for Long-Term Multi-Agent Motion Predictions.

Todor Davchev, Michael Burke, 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

An Empirical Evaluation of Adversarial Robustness under Transfer Learning.

Todor Davchev, Timos Korres, Stathi Fotiadis, Nick Antonopoulos, Subramanian Ramamoorthy

CoRR, 2019