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!
- 🔭 Researching task-oriented 3D datasets and skeleton/graph-based grasping models
- 🌱 Currently strengthening image processing theory, NeRF/3D vision, and reinforcement learning for manipulation
- 📝 Published 5+ papers in top conferences (ICEE, ICRoM) + 1 under review at Pattern Recognition
- 👯 Open to collaborations on robotics/AI/CV projects — especially open-source or cross-disciplinary!
- 💬 Ask me about: Robotic Grasping, Humanoid Robots, Imitation Learning, PyTorch, ROS
- 📫 Reach me: alireza.beigy.rb@gmail.com or Telegram: @alireza_beigy
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) |   |
| SGG-Net | Skeleton and Graph-Based Neural Network Approaches for Grasping Objects |   |
| EGD | Explorable Grasp Pose Detection for Two-Finger Robot Handover | |
More publications and preprints available on:
Always learning, building, and pushing the boundaries of intelligent robotics 🤖✨