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Learning Object Affordances for Tool Use and Problem Solving in Cognitive Robots.

, , , , , and . AIRO@AI*IA, volume 1544 of CEUR Workshop Proceedings, page 68-82. CEUR-WS.org, (2015)

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Robot Learning Physical Object Properties from Human Visual Cues: A novel approach to infer the fullness level in containers., , and . ICRA, page 10375-10381. IEEE, (2022)Learning robot gait stability using neural networks as sensory feedback function for Central Pattern Generators., , and . IROS, page 194-201. IEEE, (2013)The Role of Object Physical Properties in Human Handover Actions: Applications in Robotics., , and . IEEE Trans. Cogn. Dev. Syst., 15 (4): 1948-1958 (December 2023)Expressing and Inferring Action Carefulness in Human-to-Robot Handovers., , , , , , and . IROS, page 9824-9831. (2023)Automatic Generation of Object Shapes With Desired Affordances Using Voxelgrid Representation., , and . Frontiers Neurorobotics, (2020)Waving Detection Using the FuzzyBoost Algorithm and Flow-Based Features., and . ICIAR, volume 7950 of Lecture Notes in Computer Science, page 19-26. Springer, (2013)Image Driven Generation of Pose Hypotheses for 3D Model-based Tracking., , and . MVA, page 59-62. (2011)Detection and classification of highway lanes using vehicle motion trajectories., , , and . IEEE Trans. Intell. Transp. Syst., 7 (2): 188-200 (2006)An expected perception architecture using visual 3D reconstruction for a humanoid robot., , , , , , , , and . IROS, page 4826-4831. IEEE, (2011)Benchmarking shape completion methods for robotic grasping., , , and . ICDL, page 223-230. IEEE, (2022)