Shohei Fujii

Ph.D. in Robotics

Shohei Fujii

Shohei Fujii

Passionate about Robotics and Automation, dedicated to eliminating tedious tasks from this world.

Languages

Japanese (Native)

English (Proficient)

Education

Ph.D. in Robotics

Nanyang Technological University, Mechanical and Aerospace Engineering · 08/2020 - 07/2024

Thesis: GPU-accelerated real-time motion planning for safe human-robot collaboration

M.S. in Information Science and Technology

the University of Tokyo, Graduate School of Information Science and Technology · 04/2013 - 03/2015

B.S. in Engineering

the University of Tokyo, Graduate School of Information Science and Technology · 04/2009 - 03/2013

Publications

Real-time Batched Distance Computation for Time-Optimal Safe Path Tracking - ICRA2024

S. Fujii, Q.-C. Pham.

Proposed real-time distance computation method for time-optimal and safe robot-control in real-world applications:

Time-Optimal Path Tracking with ISO Safety Guarante - IROS 2023

S. Fujii, Q.-C. Pham.

Proposed time-optimal and safe path tracking method:

Realtime Trajectory Smoothing with Neural Nets - ICRA 2022

S. Fujii, Q.-C. Pham.

Proposed real-time trajectory smoother powered by neural-network:

Experiences

Robotics Software Engineer

DENSO-SOKEN / Nagoya · 04/2015 - Present

  • Developing the fastest and safe robotic manipulation algorithms for human-robot collaboration (see publications)
  • Developed all the software from embedded system to ROS application for SLAM-based navigation of AGVs
    • Simple Mobile UI for task dispatch, using Vue.js/Django
    • MPC-based collision avoidance
    • Fast PRM-based path planning
  • Developed low-cost ROS-based self-driving vehicle system for assembly transportaion in-and-out factories

Robotics Engineer / Intern

MUJIN / Tokyo · 08/2013 - 03/2015

  • Developed a backend of a bin-picking vision system, demonstrated in IReX 2013
  • Developed a fully-automated Hand-Eye calibration system. The key feature is “no parameters tuning” required. The system automatically plan and execute robot trajectories, collect images and calibrate camera/robot parameters

Master Student

the University of Tokyo / Tokyo · 04/2013 - 03/2015

  • Developed a fully-automated cable-picking system. This is based on a work in MUJIN.

Web Developer

foo.log Inc / Tokyo · 04/2013 - 10/2013

  • Developed Ruby on Rails based web application

Projects

Team Scramble - Robocup Small-size League Group

08/2017 - 08/2020

Worked as an AI software lead programmer

Team RoboTech - NHK/ABU Robocon Group

04/2009 - 07/2013

Worked as a lead mechanical programmer

Skills

Programming Languages

C++, Python, Rust, Ruby, JavaScript/TypeScript

Tools and Frameworks

OpenRAVE, PCL, OpenCV, PyTorch, CUDA, ROS, Docker, Git, LaTeX, Vim etc.

Manufacturing

SolidEdge, Milling Machine, Lathe, CNC, Laser Cutting Machine, and Drilling Machine

Awards and Honors

Grand Prize · 2018

RoboCup Japan Open Small Size League, Japan Robot Society Award, as an AI software engineer

First Prize · 2016

DENSO Innovative Production Technology Exhibition for Factory Automation, the Most Innovative Technology Award, as a Lead software engineer

Grand Prize · 2011, 2012

ABU Asia-Pacific Robot Contest (ABU Robocon), as a Mechanical engineer in 2011, and a Lead mechanical engineer in 2012

First Prize · 2011, 2012

NHK Robocon

Excellence Award · 2013

An award from the Head of the Engineering Department, the University of Tokyo

Excellence Award · 2011

An Award from the University President, the University of Tokyo

Excellence Award · 2013

Japan Society of Mechanical Engineers Hatakeyama Award

Quality Demo Award · 2012

Creative Engineering Project, the University of Tokyo Faculty of Engineering,