Hi! I'm Qiyuan LIU.
As a Master's student in Mechanical Engineering at University of California, Berkeley, I'm specializing in Robotics and Intelligent Control, and driven by a mission to advance autonomous systems. My work blends technical rigor with creative problem-solving, aimed at making robots smarter and more capable.
Looking ahead to my career as a Robotics Engineer, I'm eager to develop technologies that enhance both the intelligence and personality of robots. After all, who says robots can't be smart and fun at the same time?
About me
I am a Robotics Engineer with a strong focus on robotics control and multi-agent systems. Graduating with the highest distinction in Mechanical Engineering from Nanyang Technological University, I have developed and deployed advanced algorithms, including Deep Reinforcement Learning (DRL) for robotic manipulation and collaborative systems. My experience spans implementing complex robotic solutions in real-world environments and leading projects that enhance robotic intelligence and autonomy. Additionally, I bring strong leadership and management skills, driving successful team collaborations and strategic decision-making.
- Location:California Bay Area, US
- Interests:photography, traveling, Violin
- Study:University of California, Berkeley
Education
Masters in Engineering, Mechanical Engineering
Concentrated in Control of Robotics & Autonomous Systems.
Awarded Eaton-Hachigian Fellowship.
with Intellectual Property & Entrepreneurship Strategies (IPES).
Bachelor of Egineering, Mechanical Engineering
Specialized in Robotics and Mechatronics.
Graduated with Honors (Highest Distinction).
Experience
Robotic Engineer
Implemented and deployed a DRL algorithm on the UR3 robot for visual-based pushing and grasping, achieving stable real-time performance and accurate object placement in dynamic environments. Implemented a 3D Human Pose Estimation system to capture and reconstruct human skeletal movements in real-time, enhancing robot interaction. Labeled chip images and trained a vision model to recognize chip structures and automatically generate diagrams, eliminating the need for manual detection.
Robotics Engineer & Reseach Assistant
Assisted in developing an indoor navigation algorithm focused on waypoint selection, enhancing pathfinding and obstacle avoidance for autonomous mobile robots. Developed a multi-agent Gazebo simulation environment for testing collaborative tasks, enabling multiple robots to interact for coordination and resource sharing. Managed ROS debugging and troubleshooting to resolve mobile robot operation issues, ensuring seamless integration between software and hardware components.
Check out some of my works
Get in touch!
Whether you have a project in mind, need collaboration, or are looking for a dedicated Robotics Engineer, feel free to reach out. I’m always open to discussing new opportunities and forging connections in the robotics and control systems field.
- qiyuann@berkeley.edu
- @qiyuuuan
- Github
- iQiyuan