I'm a Master's graduate in Artificial Intelligence and Robotics from Tehran University with a deep passion for robotic grasping, human-robot interaction, computer vision, and deep learning.
Currently eager to dive deeper into advanced perception, and real-world robotic applications and always excited to learn new techniques and collaborate on challenging problems!
- π Researching task-oriented 3D datasets and skeleton/graph-based grasping models
- π± Currently strengthening image processing theory, NeRF/3D vision, and reinforcement learning for manipulation
- π Published 5+ papers in top conferences (ICEE, ICRoM) + 2 under review at Journals
- π― Open to collaborations on robotics/AI/CV projects β especially open-source or cross-disciplinary!
- π¬ Ask me about: Robotic Grasping, Humanoid Robots, Imitation Learning, PyTorch, ROS
- π« Reach me: alireza.beigy.rb@gmail.com or Telegram: @AliRezaBeigy
Here are some highlights of my work in robotic grasping, 3D perception, and human-robot interaction:
| Project | Description | Links |
|---|---|---|
| SenseTask | 3D Object Dataset with Task-Specific Annotations for Robotic Grasping (170 high-fidelity models, 480K grasp instances, segmentation masks for stabilizing/pouring/tool-use/container tasks) | Website DOI |
| SGG-Net | Skeleton and Graph-Based Neural Network Approaches for Grasping Objects | Paper Code |
| EGD | Explorable Grasp Pose Detection for Two-Finger Robot Handover | Paper Code |
More publications and preprints available on:
Google Scholar
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Always learning, building, and pushing the boundaries of intelligent robotics π€β¨