Source: Pango Microsystems |Original Link
On November 30, the finals of the "8th National College Student Embedded Chip and System Design Competition – FPGA Innovative Design Track," hosted by the Chinese Society for Electronic Education and co-organized by Southeast University and the Nanjing Jiangbei New Area Management Committee, concluded successfully in Nanjing Jiangbei New Area.
In this edition of the competition, the Pango Microsystems Cup attracted a total of 926 student teams, representing a year-on-year increase of 50% and ranking first among all participating tracks. After months of intense competition, 155 teams advanced to the national finals under the Pango Microsystems Cup. Among them, 21 teams were awarded First Prize, 38 teams received Second Prize, and 96 teams earned Third Prize, marking a 50% increase in award-winning teams compared to the previous year. Sincere congratulations are extended to all award-winning teams. (For detailed award information, please refer to the official competition website.)
Notably, upon unanimous recommendation by the expert judging panel, teams from the University of Electronic Science and Technology of China and Shenzhen Technology University competing in the Pango Microsystems Cup were ultimately awarded the "Best Creativity Award" and the "Best Engineering Award," the two highest honors of the national finals, bringing the popularity and influence of the cup to new heights.
Introduction to the "Best Creativity Award" Winning Project
Project Title: Wearable Exoskeleton-Controlled Mobile Dual-Arm Platform
Award-Winning Team: University of Electronic Science and Technology of China – Cheshire Cat Enthusiasts Club
Team Members: Yang Yuheng, Li Shangxun, Tian Xinyi, University of Electronic Science and Technology of China
Supervising Instructor: Qin Haojie, Senior Experimentalist, Department of Internet of Things Engineering, University of Electronic Science and Technology of China
Project Overview: To address operational challenges faced by humans in high-risk environments and uninhabitable zones, this project developed a mobile humanoid dual-arm manipulation platform based on a wearable exoskeleton. Encoders mounted on the exoskeleton capture the operator's arm joint movements; once worn, the robotic arms replicate the operator's arm angles, enabling intuitive and straightforward remote operation for specialized tasks. The system comprises two main components: a tracked vehicle with robotic arms and an exoskeleton unit. The tracked vehicle is equipped with two custom 7+1 DOF joint-motor robotic arms and utilizes the Unigroup RK3568MES2L100H as the primary controller. Exoskeleton data is received via a 2.4G high-speed FLRC link at the FPGA end for computation. Through kinematic solving and reachability analysis, motion trajectories are generated via interpolation. MIT control parameters for these trajectories are transmitted to the RK3568, which then executes 500Hz MIT control over all motors through its built-in CAN controller and onboard CAN transceiver. The robotic arms are mounted on a lead screw slide and rotary platform integrated into the custom tracked chassis. The slide can extend outward to enable operations beyond the vehicle body or retract inward while the rotary platform turns to facilitate battery replacement and basic self-maintenance. The exoskeleton unit employs a custom STM32G474RET6 mainboard for data aggregation, utilizing fourteen OID-3806 high-precision multi-turn absolute encoders to capture seven single-degree-of-freedom movements per arm from shoulder to wrist, with TJA1050 chips facilitating CAN communication between the encoders and the mainboard. A custom single-hand controller connected to the exoskeleton end features an STM32G474RET6 MCU, joysticks, and AD823 op-amp buffered potentiometers for hand data acquisition via ADC, thereby controlling the tracked vehicle and grippers. Communication between the handheld controller and the mainboard is achieved via MAX13487 for RS485 or TJA1050 for CAN. This platform establishes an ergonomic and intuitively controlled robotic arm system based on the exoskeleton, achieving 12-bit precision with latency below 20ms. It simplifies operational procedures, enhances user accessibility, and mitigates unpredictable joint angles caused by inverse kinematics, ensuring more controllable and precise manipulation.
Introduction to the "Best Engineering Award" Winning Project
Project Title: FPGA-Based Intelligent Signal Analysis and Measurement System
Award-Winning Team: Shenzhen Technology University – Emeile Team
Team Members: Jiang Xian, Chen Guangzhao, Cao Qianjin, College of Integrated Circuits and Optoelectronic Chips, Shenzhen Technology University
Supervisors: Han Wenman, Laboratory Technician, College of Integrated Circuits and Optoelectronic Chips, Shenzhen Technology University; Sai Gaole, Assistant Professor, College of Integrated Circuits and Optoelectronic Chips, Shenzhen Technology University
Project Overview: This FPGA-based oscilloscope embodies a dedicated commitment to exploration in the fields of digital logic design and signal processing. During development, the parallel processing and reconfigurability advantages of FPGAs were fully leveraged to meticulously architect the hardware logic. From signal acquisition and trigger control to data buffering and display driving, each subsystem is tightly integrated to achieve high-precision and high-stability signal observation performance. Although limitations in device resources and experience have left room for further functional expansion and detailed optimization, the overall system operates smoothly with core specifications met, successfully achieving the preset design objectives. Based on the Pango Microsystems MES2L676-200HP-MINI development board, this project implements a four-channel handheld signal measurement system that integrates multifunctionality, portability, and product-grade maturity. Designed to meet diverse field requirements, it incorporates core functions including digital oscilloscopy, 2048-point FFT spectrum analysis, automated testing, Bluetooth remote communication, weak signal detection, and AI-assisted waveform recognition. Furthermore, through algorithms such as multi-ADC interleaved sampling, data interpolation, and persistence display, the sampling rate is increased to 260 MSPS, enabling the visualization of waveforms up to 10 MHz on a 7-inch touchscreen. Featuring a compact form factor and a multi-interface UI design, this product aims to serve as a "pocket laboratory" for electronic engineers during business travel and fieldwork.
As a specialized manufacturer of programmable system chips and solutions in China, Pango Microsystems has supported the "FPGA Innovative Design Track" for nine consecutive years. By continuously optimizing competition topics, practical platforms, and technical support capabilities, the company promotes learning and application through competition, providing university students with a platform to showcase their talents and stimulate creativity. These efforts facilitate the cultivation of innovative talent in the integrated circuit sector and inject new vitality into the development of China's FPGA industry. We look forward to seeing you at the competition in 2026. (Full technical support for this competition was provided by Xiaoyanjing Technology, an ecosystem partner of Pango Microsystems.)