Kaixin Chai

Hi, I'm Kaixin, currently looking for a PhD program. This website is a brief introduction about myself.

I graduated with a Bachelor's degree in Engineering from Xi'an Jiaotong University, where I gained fundamental knowledge and conducted research on fluid machinery.

After graduation, I worked at FASTLAB, focusing on classical robot planning and control research. Currently, I work at GairLab, where my job is to equip robots with basic skills and common sense so they can better assist people in their daily work.

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Project

Below are some of the projects I have been involved in, listed in chronological order. Research-oriented projects are highlighted with a yellow background, while engineering projects are presented with a white background.

Build the hardware for a mobile manipulator and develop Inverse Kinematics code to control the arm's movements. Execute long-horizon tasks using pre-trained skills. Additionally, I adjust the robot's initial position at the beginning of each sub-task to better align observations with the skills' training data distribution.

Set up a mathematical model for ground effect prediction based on flown field simulation and experiments, making the drones fly safer and more stable near the ground.

Enable a wheel-legged robot equipped with LiDAR and cameras to identify and follow specific targets. This project was completed with Huawei Shenzhen Application Scenario and Innovation Laboratory.

Try to improve LiDAR-based localization accuracy and stability via motion planning. We derive a new metric for localization reliability through perturbation analysis and apply the metric to motion planning, which enables the robot to avoid degraded areas in advance.

Build a drone using an onboard computer equipped with HiSilicon chips for Huawei. Deploy obstacle avoidance algorithms enabling the drone to fly safely in complex environments.

We propose a planning framework for wheeled robot movement on uneven terrain, which is efficient and allows robots to move safely.

Design a Helium-Assisted drone for floating advertisements in shopping malls. The buoyancy generated by the helium balloon offsets 95\% of the weight, extending the flight time from five minutes to one hour.

Demonstrate a novel energy generation system that maintains the turbine at optimal power conversion efficiency in changing water flow.

Design a new thermal simulation device to generate an even temperature field. To obtain better control strategies, we model the whole heat transfer process and utilize deep reinforcement learning technology.

Analyze the cluster effect of Savonius wind turbines using the variable-speed control method.

We designed a system for a metal processing plant to monitor the production quality of products. With the help of industrial cameras and convolutional neural networks, we achieved a recognition recall rate of 94%.

Thanks for the website template offered by Jon Barron.