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:
Nijenborgh
9
Groningen
Netherlands
Phone: +31 50 363 6533Fax: +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 (Kinova, Franka), and humanoid robots. For more details, please check my webpage  www.ai.rug.nl/hkasaei

Publications
  1. Local-LDA: Open-Ended Learning of Latent Topics for 3D Object Recognition

    Mohades Kasaei, H., Seabra Lopes, L. F. & Tomé, A. M., 2-Jul-2019, In : Ieee transactions on pattern analysis and machine intelligence. 1 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  2. Look Further to Recognize Better: Learning Shared Topics and Category-Specific Dictionaries for Open-Ended 3D Object Recognition

    Mohades Kasaei, H., 2019, (Accepted/In press) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  3. Interactive Open-Ended Object, Affordance and Grasp Learning for Robotic Manipulation

    Mohades Kasaei, H., May-2019, IEEE/RSJ International Conference on Robotics and Automation (ICRA). IEEE

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  4. Coping with Context Change in Open-Ended Object Recognition without Explicit Context Information

    Mohades Kasaei, H., Lopes, L. S. & Tomé, A. M., 1-Oct-2018. 6 p.

    Research output: Contribution to conferencePaperAcademic

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