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Teaching iCub to recognize objects using deep Convolutional Neural Networks.

, , , , and . MLIS@ICML, volume 43 of JMLR Workshop and Conference Proceedings, page 21-25. JMLR.org, (2015)

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Data-efficient Weakly-supervised Learning for On-line Object Detection under Domain Shift in Robotics., , , , , and . CoRR, (2020)From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach., , , , , , and . RO-MAN, page 942-949. IEEE, (2022)A Fine-Grained CUDA Implementation of the Multi-objective Evolutionary Approach NSGA-II: Potential Impact for Computational and Systems Biology Applications., , and . CIBB, volume 8623 of Lecture Notes in Computer Science, page 273-284. Springer, (2014)Graphics processing unit-accelerated techniques for bio-inspired computation in the primary visual cortex., and . Concurr. Comput. Pract. Exp., 26 (10): 1799-1818 (2014)ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking., , , , and . IEEE Robotics Autom. Lett., 7 (1): 159-166 (2022)Are we done with object recognition? The iCub robot's perspective., , , , and . Robotics Auton. Syst., (2019)Automatic Creation of Large Scale Object Databases from Web Resources: A Case Study in Robot Vision., , , and . ICIAP (2), volume 11752 of Lecture Notes in Computer Science, page 488-498. Springer, (2019)A Weakly Supervised Strategy for Learning Object Detection on a Humanoid Robot., , , , and . Humanoids, page 194-201. IEEE, (2019)ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking., , , , and . CoRR, (2021)Enabling Depth-driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives., , , , and . CoRR, (2015)