Scholar
Hamidreza Kasaei
Google Scholar ID: VFr_XuYAAAAJ
Associate Professor, Department of Artificial Intelligence, University of Groningen
Citations & Impact
Citations
1,340
H-index
21
i10-index
39
Publications
20
Co-authors
24
list available
Publications
Resume (English only)
Academic Achievements
- [{'date': 'July 2025', 'achievement': 'Co-organizing a full day workshop on Robotics World Modeling at CORL 2025'}, {'date': 'June 2025', 'achievement': 'Co-organizing a full day workshop on Building Physically Plausible World Models at ICML 2025'}, {'date': 'June 2025', 'achievement': 'Co-organizing a full day workshop on R3: Reasoning for Robust Robot Manipulation in the Open World at RSS 2025'}, {'date': 'April 2025', 'achievement': 'Co-organizing 7th Robot Learning Workshop on Towards Robots with Human-Level Abilities at ICLR 2025'}, {'date': 'March 2025', 'achievement': "Paper titled 'Learning Dual-Arm Push and Grasp Synergy in Dense Clutter' accepted to IEEE Robotics and Automation Letters (RA-L)"}, {'date': 'January 2025', 'achievement': "Two papers accepted at ICRA'25"}, {'date': 'November 2024', 'achievement': 'Two interdisciplinary PhD positions focusing on cutting-edge research areas opened'}, {'date': 'October 2024', 'achievement': "Two papers accepted at CoRL'24"}, {'date': 'June 2024', 'achievement': "Paper titled 'Single-Shot 6DoF Pose and 3D Size Estimation for Robotic Strawberry Harvesting' accepted to IROS 2024"}, {'date': 'April 2024', 'achievement': "Paper titled 'Simultaneous Multi-View Object Recognition and Grasping in Open-Ended Domains' accepted to Journal of Intelligent & Robotic Systems"}, {'date': 'January 2024', 'achievement': "Four papers accepted at ICRA'24"}]
Research Experience
- Co-organizes full day workshops at various international conferences such as CORL, ICML, RSS, ICLR; Research interests include perception and manipulation, dual-arm manipulation, neural motion/task planning.
Background
- Focuses on fundamental lifelong robot learning to make robots capable of learning in an open-ended fashion by interacting with non-expert users. Also works on challenging open problems at the intersection of robotics, computer vision, and machine learning, developing algorithms and systems to understand the underlying principles of robust sensorimotor coordination in humans and animals, aiming to improve the skills and autonomy of complex robotic systems.
