I am a passionate robotics engineer pursuing my PhD, specializing in autonomous systems, machine learning, and embedded systems. I have a strong background in robotics development, ranging from robot arm manipulation to reinforcement learning and computer vision. I am always eager to learn and collaborate on new projects and ideas in the field of robotics and RL.
Domain Randomization in Reinforcement Learning for Pre-Capture of Free-Floating Moving Targets by Autonomous Robots.
A fully autonomous positioning system using Curriculum Learning and Deep Reinforcement Learning to capture moving and thumbling space debris.
Importance of Tactile Feedback in Soft-Capture of Space Debris is investigated using Soft Actor-Critic (SAC) algorithm.
Control the Robotiq 3F gripper with Python via Modbus TCP, providing easy integration for various operation modes, speed settings, and finger control.
Robot Arm Manipulation
Motion Planning and Control
Reinforcement/Imitation Learning
Simulation and Unreal Engine
Robotics Operation System (ROS)
PyTorch
OpenCV
Docker
Interested in collaborating or learning more about my work? Feel free to reach out.