S.H. (Hamidreza) Mohades Kasaei, PhD

Faculty of Science and Engineering (FSE Fellow)

S.H. (Hamidreza) Mohades Kasaei, PhD
E-mail:
hamidreza.kasaei rug.nl

Research

Postal address:
Nijenborgh9
9747 AG
Groningen
Netherlands
Phone: +31 50 363 3926Fax: +31 50 363 6687

Research interests

My research interest lies at the intersection of machine learning, robotics, and machine vision, particularly, at the area of open-ended learning, 3D object perception, grasp affordance detection, and object manipulation. I am interested in developing algorithms for an adaptive perception system based on interactive environment exploration and open-ended learning, which enables robots to learn from past experiences and interact with human users. I have been investigating on active perception, where robots use their mobility and manipulation capabilities not only to gain perceptual information to model the world but also to predict the next-best-view for improving object detection and manipulation performances. I have evaluated my works on different robotic platforms, including PR2, robotic arms (UR5e, Kinova, Franka), and humanoid robots. For more details, please check my webpage  www.ai.rug.nl/hkasaei

Publications
  1. OrthographicNet: A deep transfer learning approach for 3D object recognition in open-ended domains

    Mohades Kasaei, H., 8-Feb-2019, (Submitted) In : ArXiv.

    Research output: Contribution to journalArticleAcademicpeer-review

  2. Investigating the Importance of Shape Features, Color Constancy, Color Spaces and Similarity Measures in Open-Ended 3D Object Recognition

    Mohades Kasaei, H., Ghorbani, M., Schilperoort, J. & Rest, van der, W., 10-Feb-2020, In : ArXiv.

    Research output: Contribution to journalArticleAcademicpeer-review

  3. The State of Service Robots: Current Bottlenecks in Object Perception and Manipulation

    Mohades Kasaei, H., Melsen, J., Beers, van, F., Steenkis, C. & Voncina, K., 2020, (Submitted) In : ArXiv.

    Research output: Contribution to journalArticleAcademicpeer-review

  4. Learning to Grasp 3D Objects using Deep Residual U-Nets

    Li, Y., Schomaker, L. & Kasaei, S. H., 10-Feb-2020, In : ArXiv.

    Research output: Contribution to journalArticleAcademicpeer-review

  5. Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning

    Luo, S., Kasaei, H. & Schomaker, L., 7-Feb-2020, In : ArXiv.

    Research output: Contribution to journalArticleAcademic

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