Kinematic Structure Correspondences via Hypergraph Matching. - Hyung Jin Chang; Tobias Fischer 001; Maxime Petit; Martina Zambelli; Yiannis Demiris (CVPR, 2016)

Multimodal imitation using self-learned sensorimotor representations. - Martina Zambelli; Yiannis Demiris (IROS, 2016)

Online Multimodal Ensemble Learning Using Self-Learned Sensorimotor Representations. - Martina Zambelli; Yiannis Demiris (IEEE Trans. Cogn. Dev. Syst., 2017)

Learning Kinematic Structure Correspondences Using Multi-Order Similarities. - Hyung Jin Chang; Tobias Fischer 001; Maxime Petit; Martina Zambelli; Yiannis Demiris (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self. - Clément Moulin-Frier; Tobias Fischer 001; Maxime Petit; Grégoire Pointeau; Jordi-Ysard Puigbo; Ugo Pattacini; Sock Ching Low; Daniel Camilleri; Phuong D. H. Nguyen; Matej Hoffmann; Hyung Jin Chang; Martina Zambelli; et al. (IEEE Trans. Cogn. Dev. Syst., 2018)

Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning. - Sandy H. Huang; Martina Zambelli; Jackie Kay; Murilo F. Martins; Yuval Tassa; Patrick M. Pilarski; Raia Hadsell (CoRR, 2019)

Learning rich touch representations through cross-modal self-supervision. - Martina Zambelli; Yusuf Aytar; Francesco Visin; Yuxiang Zhou; Raia Hadsell (CoRL, 2020)

A distributional view on multi-objective policy optimization. - Abbas Abdolmaleki; Sandy H. Huang; Leonard Hasenclever; Michael Neunert; H. Francis Song; Martina Zambelli; Murilo F. Martins; Nicolas Heess; Raia Hadsell; Martin A. Riedmiller (ICML, 2020)

Multimodal representation models for prediction and control from partial information. - Martina Zambelli; Antoine Cully; Yiannis Demiris (Robotics Auton. Syst., 2020)

Learning transferable motor skills with hierarchical latent mixture policies. - Dushyant Rao; Fereshteh Sadeghi; Leonard Hasenclever; Markus Wulfmeier; Martina Zambelli; Giulia Vezzani; Dhruva Tirumala; Yusuf Aytar; Josh Merel; Nicolas Heess; Raia Hadsell (ICLR, 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)

DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robots. - Maria Bauzá 001; José Enrique Chen; Valentin Dalibard; Nimrod Gileadi; Roland Hafner; Murilo F. Martins; Joss Moore; Rugile Pevceviciute; Antoine Laurens; Dushyant Rao; Martina Zambelli; Martin A. Riedmiller; et al. (CoRR, 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)

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)