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Todor Davchev
Todor Davchev
Research Scientist, Google DeepMind
Verified email at deepmind.com - Homepage
Title
Cited by
Cited by
Year
Open x-embodiment: Robotic learning datasets and rt-x models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
822023
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
N Das, S Bechtle, T Davchev, D Jayaraman, A Rai, F Meier
CoRL 2020, 2020
662020
Residual learning from demonstration: Adapting dmps for contact-rich manipulation
T Davchev, KS Luck, M Burke, F Meier, S Schaal, S Ramamoorthy
IEEE Robotics and Automation Letters 7 (2), 4488-4495, 2022
482022
RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation
K Bousmalis, G Vezzani, D Rao, CM Devin, AX Lee, MB Villalonga, ...
Transactions on Machine Learning Research, 2023
40*2023
Vid2Param: Modelling of Dynamics Parameters from Video
M Asenov, M Burke, D Angelov, TB Davchev, K Subr, S Ramamoorthy
IEEE Robotics and Automation Letters (ICRA), 2019
27*2019
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
T Davchev, O Sushkov, JB Regli, S Schaal, Y Aytar, M Wulfmeier, ...
International Conference on Learning Representations (ICLR), 2022
142022
An Empirical Evaluation of Adversarial Robustness under Transfer Learning
T Davchev, T Kores, S Fotiadis, N Antonopoulos, S Ramamoorthy
ICML 2019 Understanding and Improving Generalisation Workshop, 2019
102019
Robotap: Tracking arbitrary points for few-shot visual imitation
M Vecerik, C Doersch, Y Yang, T Davchev, Y Aytar, G Zhou, R Hadsell, ...
arXiv preprint arXiv:2308.15975, 2023
82023
Learning Structured Representations of Spatial and Interactive Dynamics for Trajectory Prediction in Crowded Scenes
T Davchev, M Burke, S Ramamoorthy
IEEE Robotics and Automation Letters 6 (2), 707-714, 2020
7*2020
Learning time-invariant reward functions through model-based inverse reinforcement learning
T Davchev, S Bechtle, S Ramamoorthy, F Meier
arXiv preprint arXiv:2107.03186, 2021
52021
Deep SE (3)-Equivariant Geometric Reasoning for Precise Placement Tasks
B Eisner, Y Yang, T Davchev, M Vecerik, J Scholz, D Held
arXiv preprint arXiv:2404.13478, 2024
2024
Structured machine learning models for robustness against different factors of variability in robot control
TB Davchev
University of Edinburgh, 2023
2023
Modelling Entailment with Neural Networks
T Davchev
http://tdavchev.github.io/files/MSc_Dissertation_Report.pdf, 2016
2016
Crowded Scene Training/Inference and Useful Tricks
T Davchev
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Articles 1–14