About Me

I work as an engineer at DJI, where I build embedded and robotics systems for real-world products. I'm also pursuing an M.Eng. at UCAS (SIAT) and hold a B.Eng. from South China Agricultural University (major rank: 1st).

My path runs through RoboMaster, competition robots, and R&D at Sony and DJI — spanning mobile robotics, embodied intelligence, HCI/HRI, and reinforcement learning. Off the bench, I'm a film photographer 📷 and maker; I open-source tools like FilmScan Pro and ESP32 spectrum lights (Geek Lab). I'm drawn to entrepreneurship 🚀 — turning prototypes into products people actually use.

View My CV (PDF)

View My RS (PDF)

Recent Highlights

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Geek Lab

🎞️FilmScan Pro

Web Open Source

A browser-based film negative scanner — point your phone at negatives for real-time positive previews and orange mask balancing. Pure HTML/JS, fully local processing, no install required. Built for film shooters who want instant feedback before lab scanning.

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FilmScan Pro app screenshot
FilmScan Pro in use

🎶ESP32 Audio-Reactive LED

ESP32 Open Source

Audio-reactive ambient light on ESP32 — I2S mic captures sound, FFT drives six WS2812B zones with VU meters, rainbow, and chase effects. Tune noise floor and peak levels from a web UI over the built-in WiFi hotspot. Open-source firmware, no cloud needed.

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ESP32 audio-reactive LED spectrum demo

🕰️Vintage Flip Clock · ESP32 Restore

ESP32 Maker

A vintage split-flap clock restored with ESP32 and custom firmware — rewired the internals while keeping the original mid-century shell. A weekend maker project bridging retro aesthetics and modern embedded control.

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Flip clock restore in progress
Flip clock restore complete

Education

University of Chinese Academy of Sciences (UCAS)

M.Eng. in Electronic Information (Sept 2023 - June 2026)

  • GPA: 3.77/4.0
  • Admitted through Postgraduate Recommendation Program (Tuition-Waiver Scholarship)

South China Agricultural University (SCAU)

B.Eng. in Agricultural Mechanization and Automation (Sept 2019 - June 2023)

  • GPA: 4.31/5.0 (Major Rank: 1st)
  • Double First-Class University Initiative Institution

Awards

  • National Scholarship for Undergraduates - Ministry of Education of China (Oct 2020)
  • Academic Excellence Scholarship - University of Chinese Academy of Sciences (2023)
  • First-Class Scholarship - South China Agricultural University (2021–2022)
  • IEEE ICRA 2024 RoboMaster University Sim2Real Challenge - Second Prize (June 2024)
  • 21st National Collegiate RoboMaster Competition - Super Confrontation - National First Prize (Aug 2022)
  • 21st National Collegiate RoboMaster Competition - University League (Automated Infantry) - First Prize (Nov 2022)
  • 16th National University Smart Car Competition - iFlytek Smart Restaurant Group - National First Prize (Aug 2021)
  • Guangdong Provincial Collegiate Electronic Design Contest - Provincial First Prize (Oct 2020)

Projects

Remember-Together: Multi-Robot Collaborative VLN Framework

First Author (2024 - 2025)

  • Proposed a distributed multi-robot framework for constructing long-term collaborative memory to enhance vision-language navigation (VLN) in complex indoor environments.
  • Designed a probabilistic spatio-temporal consistency verification algorithm to suppress hallucinations from vision–language models (VLMs) via confidence- and similarity-based filtering.
  • Developed a spatial–semantic memory graph structure organizing episodic data into object–place–event nodes for efficient retrieval and reasoning.

Key Technologies: Multi-Robot Systems, Vision-Language Navigation (VLN), VLMs, Probabilistic Algorithms, Spatio-Temporal Reasoning, Semantic Memory Graphs

Legged Robot Lower-Level System Development

Developer (STM32 & Robotics Project) (2025)

  • Designed and developed lower-level control system for legged robots, including multi-joint motor and servo control based on STM32F407.
  • Responsible for PCB hardware design of driver boards with CAN, high-speed RS485, and EtherCAT communication protocols.
  • Engaged in dynamics modeling, reinforcement learning for motion control, and Sim2Real deployment within the Isaac Lab environment.
  • Implemented safety features such as online disconnection-reconnection detection, emergency power-off, and power monitoring systems.

Key Technologies: STM32F407, PCB Design, CAN, RS485, EtherCAT, Reinforcement Learning, Sim2Real, Robotics Control

4WD-4WS Autonomous Sprayer Navigation Control System

Project Lead (National Student Innovation Program) (2021 - 2023)

  • Led development of an agricultural sprayer with RTK-GPS & IMU for autonomous row shifting and path tracking.
  • Constructed 8-DOF chassis kinematic model and implemented PID trajectory tracking.
  • Designed embedded controller and CAN/USB communication system.
  • Achieved "Excellent" project completion, 1 software copyright, 1 EI paper.

Key Technologies: RTK-GPS, IMU, PID Control, Kinematic Modeling, CAN Bus, STM32, C/C++

Indoor Autonomous Quadrotor UAV System with RGBD & LiDAR Fusion

Individual Project (Dec 2022 - May 2023)

  • Developed VIO localization using an RGBD camera for robust indoor positioning.
  • Implemented precise UAV indoor position control based on VIO data.
  • Integrated single-line LiDAR for basic navigation and 3D environmental reconstruction.
  • Managed UAV hardware selection, integration, and assembly.
  • Deployed and calibrated VINS; compared VIO algorithms (ORB-SLAM2, VINS-Mono).
  • Engineered LiDAR point cloud projection and constructed occupancy grid maps.

Key Technologies: ROS, UAV, RGBD Camera, LiDAR, VIO, SLAM (VINS-Mono, ORB-SLAM2), 3D Reconstruction, PX4, C++

Autonomous Infantry Robot Development (RoboMaster Competition)

Navigation Team Lead @ Taurus Robotics Team (2021 - 2022)

  • Led navigation group for autonomous infantry robot in RoboMaster AI Challenge.
  • Implemented full-field localization & navigation using Mecanum wheel odometry, IMU, LiDAR.
  • Utilized computer vision for enemy armor detection and autonomous engagement.
  • Built ROS-based software architecture, Gazebo simulation, and hardware/software communication.
  • Optimized navigation with tf-transform-based "small-gyro" trajectory following and obstacle avoidance.

Key Technologies: ROS, Gazebo, SLAM, Path Planning, Computer Vision, Mecanum Wheels, C++, Python, LiDAR, IMU

National University Smart Car Competition

Team Captain / Member (2020 - 2021)

  • Captain (2021, iFlytek Smart Restaurant): Led Mecanum wheel robot development; implemented indoor localization & multi-task allocation (QR, target detection) using LiDAR & IMU; built ROS-based multi-task scheduling.
  • Member (2020, Outdoor Opto-Electronic): Contributed to Ackermann steering car for indoor localization & path planning using LiDAR, IMU, odometry; designed embedded controller.

Key Technologies: ROS, Path Planning, State Machines, Embedded Control, LiDAR, IMU, C/C++

Experience

SONY (CHINA) CO., LTD SHENZHEN BRANCH (RDC-Shenzhen)

SONY (CHINA) CO., LTD SHENZHEN BRANCH (RDC-Shenzhen) - Robotics Intern (2025.02-08)

DJI (RoboMaster)

Teach Assistant (2020 - 2022)

Publications

A Biomimetic 4WS–4WD Robotic Platform with Single-Neuron PID Control for Autonomous Field Navigation

Lebin Liang, Dewei Lu, Dong Li, Zilong Chen, Can Wang, and Xinyu Wu

IEEE ROBIO 2025

ROBIO 2023 Paper Preview

A Real-time Framework for UAV Indoor Self-Positioning and 3D Mapping Base on 2D Lidar, Stereo Camera and IMU

Lebin Liang, Haotian Rao, Guohao Shen, Can Wang, Xinyu Wu

IEEE RCAR 2023

RCAR 2023 Paper Preview