Responsibilities include:

• Defined the Pest Control smart-hardware direction for global markets after XbotPark Camp, including market screening, user interviews, and field research.
• As founder and CTO, led consumer smart pest-control product definition, prototype design, and manufacturing introduction for rodent and mosquito-control scenarios.
• Built early field-testing and multi-sensor data-collection systems, validating mechanical structure, circuits, embedded systems, sensing, and safety strategies through multiple prototype iterations.
• Led global multi-region IoT hardware and software architecture, app planning, and an AI-assisted internal workflow for faster hardware-software iteration.
• Drove the consumer hardware Pest Control startup project from B2B validation toward consumer productization and mass-production preparation.

Responsibilities include:

• Complete the design of the robot’s hardware and software.
• By employing outstanding software development, the studio ensures sufficient market competitiveness while utilizing equivalent hardware for its robots.
• Implementation and realization of dynamic visual design and perception detection for interactive art projects.
• Productized DeDeMotor, an improved motor driver; DeDeYOLO, a low-cost and low-power YOLO camera; launched the Video2Tag web application for automated labeling; and productized DeDeIMU, a high-performance 6-axis gyroscope.

• 2020 GDUT Outstanding Student First-Class Scholarship (ranked 1/473).
• 2021 GDUT Outstanding Student First-Class Scholarship (ranked 5/473).
• 2021 Huawei Intelligent Base Scholarship (ranked 1/473).
• 2019 China Robot Competition (project lead), national first and second prizes.
• 2020 Guangdong Undergraduate Electronic Design Contest (project lead), provincial first prize.
• 2020 Guangdong Engineering Undergraduate Experimental Comprehensive Skills Competition, intelligent handling vehicle project (project lead), provincial first prize.
• 2021 Challenge Cup Guangdong Undergraduate Extracurricular Academic and Technological Works Competition (hardware and software lead), provincial first prize.
• 2020 Mathematical Contest in Modeling (programming lead), Honorable Mention.

Responsibilities include:

• I have constructed a Docker-based development environment for ROS1/ROS2 and created a Docker image for ROS Bridge, enabling the potential for edge devices (such as Jetson AGX Xavier) to utilize both ROS1 and ROS2 concurrently.
• Accomplished the data conversion based on Livox LiDAR and PointPillar algorithm (using Livox Dataset), training, and forward inference implementation (with ROS bags collected from real industrial environments in mining areas). This enabled the identification of truck targets within point clouds, laying the foundation for precise recognition of truck dumping poses in the next step.
• Completed my graduation thesis, which primarily involved utilizing RGB images and CAD models of detected objects in the images to determine the poses of the detected objects relative to the camera coordinate system.

Delved deeper into the study of structures, circuits, programming, and other related knowledge. As the team leader, I have achieved three national-level awards, four provincial first-class awards, and above, and obtained two national invention patents simultaneously.

Participated in the RoboMaster High-School Students Vacation Summer Camp, focusing mainly on embedded development. As team captain, led the team through solution design and implementation, ultimately winning the team second prize.

From a young age, I developed a strong interest in mechanical and electronic design, and through self-study I independently completed multiple projects. That passion has stayed with me ever since. Sometimes I feel very, very fortunate to have found a direction I love when I was still so young, and that this direction also aligns with the needs of the times.

• (Middle school) Constructed a crane that can be wirelessly controlled using a joystick remote. This Arduino-based project earned me second prize on the geekfans website.
• (Grade 10) Designed a device that can securely attach multiple infrared detection probes to the underside of a vehicle. This device is used to detect animals underneath the vehicle, and it wirelessly consolidates the detection signals, transmitting them to an onboard receiving and display device. The project received second prize in the provincial youth science and technology innovation competition.
• (Grade 11) Designed a device to detect whether a driver is wearing a helmet properly. If the helmet is not worn correctly, it can trigger an alarm or disable the vehicle’s ignition button. This project received first prize in the provincial youth science and technology innovation competition.