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Object Learning and Grasping Capabilities for Robotic Home Assistants., , , and . RoboCup, volume 9776 of Lecture Notes in Computer Science, page 279-293. Springer, (2016)An orthographic descriptor for 3D object learning and recognition., , , and . IROS, page 4158-4163. IEEE, (2016)Open-Ended Fine-Grained 3D Object Categorization by Combining Shape and Texture Features in Multiple Colorspaces., and . HUMANOIDS, page 135-141. IEEE, (2021)Reinforcement Learning with Potential Functions Trained to Discriminate Good and Bad States., , , and . IJCNN, page 1-7. IEEE, (2021)Lifelong 3D object recognition and grasp synthesis using dual memory recurrent self-organization networks., and . Neural Networks, (2022)Investigating the Importance of Shape Features, Color Constancy, Color Spaces and Similarity Measures in Open-Ended 3D Object Recognition., , , and . CoRR, (2020)The State of Service Robots: Current Bottlenecks in Object Perception and Manipulation., , , , and . CoRR, (2020)Explain What You See: Open-Ended Segmentation and Recognition of Occluded 3D Objects., , , , and . CoRR, (2023)Accelerating Reinforcement Learning for Reaching Using Continuous Curriculum Learning., , and . IJCNN, page 1-8. IEEE, (2020)Interactive Open-Ended Object, Affordance and Grasp Learning for Robotic Manipulation., , , and . ICRA, page 3747-3753. IEEE, (2019)