DAC-h3: a proactive robot cognitive architecture to acquire and express knowledge about the world and the self C Moulin-Frier, T Fischer, M Petit, G Pointeau, JY Puigbo, U Pattacini, ... IEEE Transactions on Cognitive and Developmental Systems 10 (4), 1005-1022, 2017 | 48 | 2017 |
Learning gentle object manipulation with curiosity-driven deep reinforcement learning SH Huang, M Zambelli, J Kay, MF Martins, Y Tassa, PM Pilarski, ... arXiv preprint arXiv:1903.08542, 2019 | 37 | 2019 |
A distributional view on multi-objective policy optimization A Abdolmaleki, S Huang, L Hasenclever, M Neunert, F Song, M Zambelli, ... International Conference on Machine Learning, 11-22, 2020 | 28 | 2020 |
Online multimodal ensemble learning using self-learned sensorimotor representations M Zambelli, Y Demirisy IEEE Transactions on Cognitive and Developmental Systems 9 (2), 113-126, 2016 | 28 | 2016 |
Kinematic structure correspondences via hypergraph matching HJ Chang, T Fischer, M Petit, M Zambelli, Y Demiris Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 16 | 2016 |
Learning kinematic structure correspondences using multi-order similarities HJ Chang, T Fischer, M Petit, M Zambelli, Y Demiris IEEE transactions on pattern analysis and machine intelligence 40 (12), 2920 …, 2017 | 13 | 2017 |
Multimodal representation models for prediction and control from partial information M Zambelli, A Cully, Y Demiris Robotics and Autonomous Systems 123, 103312, 2020 | 11 | 2020 |
Posture regulation for unicycle‐like robots with prescribed performance guarantees M Zambelli, Y Karayiannidis, DV Dimarogonas IET Control Theory & Applications 9 (2), 192-202, 2015 | 10 | 2015 |
Multimodal imitation using self-learned sensorimotor representations M Zambelli, Y Demiris 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 5 | 2016 |
Towards anchoring self-learned representations to those of other agents M Zambelli, T Fischer, M Petit, HJ Chang, A Cully, Y Demiris Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems …, 2016 | 3 | 2016 |
Online ensemble learning of sensorimotor contingencies M Zambelli, Y Demiris | 3 | 2015 |
Learning transferable motor skills with hierarchical latent mixture policies D Rao, F Sadeghi, L Hasenclever, M Wulfmeier, M Zambelli, G Vezzani, ... arXiv preprint arXiv:2112.05062, 2021 | 2 | 2021 |
Learning rich touch representations through cross-modal self-supervision M Zambelli, Y Aytar, F Visin, Y Zhou, R Hadsell arXiv preprint arXiv:2101.08616, 2021 | 1 | 2021 |
Achieving Gentle Manipulation with Deep Reinforcement Learning SH Huang, M Zambelli, Y Tassa, J Kay, MF Martins, PM Pilarski, ... | 1 | |
Latest news P Links EMU 4, V4L, 2019 | | 2019 |
Online multimodal autonomous learning of robots internal models M Zambelli Imperial College London, 2017 | | 2017 |
Learning gentle object manipulation with curiosity-driven deep reinforcement learning Download PDF SH Huang, M Zambelli, J Kay, MF Martins, Y Tassa, PM Pilarski, ... | | |
Achieving Gentle Manipulation with Deep Reinforcement Learning Download PDF SH Huang, M Zambelli, Y Tassa, J Kay, MF Martins, PM Pilarski, ... | | |
A Distributional View on Multi-Objective Policy Optimization Download PDF A Abdolmaleki, SH Huang, L Hasenclever, M Neunert, HF Song, ... | | |
Multimodal representation models for prediction and control from partial information Download PDF M Zambelli, A Cully, Y Demiris | | |