Rajabov Javohirbek Oktamboy o'g'li

Javokhirbek Rajabov is an AI researcher specializing in embodied intelligence with a strong background in machine and deep learning, robotics, and real-world system deployment. His research interests focus on advancing autonomous robotic systems—ranging from legged locomotion to complex manipulation—through cutting-edge reinforcement learning algorithms, neural rendering, and sim-to-real transfer methods. He has contributed to projects that span autonomous vehicles, embodied manipulation, and AI-powered applications for education, healthcare, and agriculture.

M.Sc. in Computer Science, Peking University (2022 – 2025)

Awarded the prestigious Chinese Government Scholarship (CSC) (full tuition + stipend, <15% acceptance rate).

B.Sc. in Computer Science and Software Engineering, INHA University in Tashkent (2018 – 2022)

Awarded the highly competitive State Scholarship (full tuition + guaranteed employment, <2.5% acceptance rate).

Learning Generalizable Prehensile Loco-manipulation (2025 – present) – Developing accurate object grasping using loco-manipulators with reinforcement learning.

WaterGraspNeRF: Neural Radiance Fields for Grasping Objects Underwater (2023 – 2024) – Pioneered camera-based underwater grasping through neural radiance field reconstruction.

Multiple AI-driven projects in robotics, computer vision, and applied ML systems.

Robotic AI Engineer, Galbot (Beijing, China, 2024 – 2025)

Developed reinforcement learning policies for legged whole-body grasping, achieving sim-to-real transfer and contributing to the commercialization of grasping quadrupedal robots.

Teaching Assistant in Deep Reinforcement Learning, Peking University (2024)

Supported teaching, course design, and evaluation for graduate students in advanced RL.

Machine Learning Engineer, TassVision (Tashkent, Uzbekistan)

Led the development of Auto Proctor, an AI-powered proctoring system integrating gaze, head pose, and voice activity detection, enhancing exam integrity.

Winner of several nationwide Physics Olympiads.

Recipient of highly competitive national and international scholarships.