I'm Bruce, Jung-Peng Lin(林容鵬), a college student from Taipei. I am now interesting in innovative robotics, currently working as a researcher in City Science Lab @ Taipei Tech a cooperation with MIT Media Lab.
About me
I graduated from the Department of Mechanical Engineering at National Taipei University of Technology. Currently, I am a researcher at City Science Lab, where my primary focus is on Robotics. My work involves developing innovative robots and integrating various cutting-edge technologies for applications in factories and urban environments.
- Location:Taipei
- Age:23
- Nationality:Taiwan
- Email:brucelin90620@gmail.com
- Study:Mechanical Engineering, National Taipei University of Technology
- Employment:Researcher at MIT City Science Lab@Taipei Tech
Portfolio
Large-Scale Inspection System : Spot
An industrial inspection system was developed using Boston Dynamics' Spot. Implementing SLAM and Navigation via Spot SDK on ROS2, it features remote monitoring through a visualization interface. A Spot simulation in Isaac Sim validates algorithms and creates a Digital Twin.
Tech: C++、Python、ROS2、Multi-Map Navigation
Autonomous Vehicle : EVπ
EVπ is an open-source, modular platform for autonomous vehicle research. Its key feature is customizable hardware and software, adapting to specific research needs. This versatility suits various applications from testing to cybersecurity research in autonomous vehicles.
Tech: C++、ROS2、HHEV.OS、Zenoh、KiCad
Bio-Inspired Robot : Pangolin
Develop a modular quadruped pangolin robot using biomimetics and ROS2, capable of walking and rolling. Features include standardized chassis, underactuated legs, detachable shell, and cable-driven tail. The project focuses on gait design, roll-over control, and modular software, offering students a robot development platform.
Tech: Python、ROS2
Bio-Inspired Robot : Triceratops (VSLAM)
Developed a biomimetic triceratops robot using ROS2 and computer vision, integrating Realsense D435 camera with Nvidia Isaac ROS VSLAM and AprilTag SLAM for indoor localization, while implementing Nav2 for autonomous navigation capabilities.
Tech: Python、ROS2、SLAM、Navigation、AprilTag
Multi-Robot Control : Super Controller
Super Controller introduces "What You See is What You Control" for managing multi-robots.
Unlike traditional joystick pairing, users scan tags on robots using cameras and select them to control corresponding robots.
This approach aims to improve usability for workers managing multi-robots simultaneously.
Tech: C++、Python、Zenoh, ROS2, AprilTags
CSL UROP Project : Hexapod Robot
Developing a 2D-LiDAR-based mapping and navigation system for a hexapod robot.
Utilized Cartographer for SLAM and Nav2 for autonomous navigation.
Integrated camera-based AprilTag detection for precise final positioning and correction after LiDAR navigation to target locations.
Tech: Python、ROS2、SLAM、Navigation、AprilTag
Undergraduate Project : Drone
The project utilized Solidworks for design,
ROS for software integration, and computer vision for navigation.
Successfully implemented hovering, line-following, traffic light recognition,
payload delivery, and landing functionalities.
Tech: Python、ROS、PX4、OpenCV、Solidworks
