Master of Science in Robotics
Carnegie Mellon University, Class of 2023

     

Hello! My name is Dingkun Guo. I am a second-year Master’s student in the Robotics Institute at Carnegie Mellon University. I am advised by Prof. Chris Atkeson and working on robot learning and computer vision.

During my undergraduate at the University of Michigan, I was advised by Prof. Kenn Oldham. We created a small-scale walking-to-rolling robot. I was also advised by Prof. Xun Huan, and worked on uncertainty quantification of medical imaging AI.

Interests

  • Robot Learning from Video Demonstrations
  • Robot Manipulation
  • Computer Vision
  • Biologically Inspired Robotics
  • Mechatronics

Education

  • Carnegie Mellon University, 2023
    MS in Robotics
  • University of Michigan, 2021
    BSE in Computer Science
    BSE in Mechanical Engineering
  • Chengdu No. 7 High School, 2017

Publications

Leg Shaping and Event-Driven Control of a Small-Scale, Low-DoF, Two-Mode Robot

  • IEEE/ASME Transactions on Mechatronics, May 2022
  • IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), July 2022

Dingkun Guo, Larissa Wermers, Kenn R. Oldham

[website] [paper] [code] [presentation]

Lowering The Computational Barrier: Partially Bayesian Neural Networks for Transparency in Medical Imaging AI

  • Frontiers in Computer Science, Jan 2023 [paper]
  • SIAM Conference on Computational Science and Engineering, Feb 2023 [abstract]
  • SIAM Conference on Uncertainty Quantification, April 2022 [abstract]

Snehal Prabhudesai, Jeremiah Hauth, Dingkun Guo, Arvind Rao, Nikola Banovic, and Xun Huan

>> More

Research

Robot Learning from Video Demonstrations

 

Autonomous Walking-to-Rolling Robot
Design and Control

Uncertainty Quantification in Machine Learning Models

>> More

Projects

robot pouring water

Robot Learning Manipulation from YouTube 

Adaptive Gripper for Sorting
Electronics Waste

Autonomous Chess-Playing Robot Arm

Configurable High-Throughput Puncher Design for Microfluidic Device

Color Ball Detection and Collection

Remote-Controlled Vehicle Competition

>> More

Honors & Awards

  • 2021, James B. Angell Scholar, granted by the University of Michigan
  • 2018−2021, Dean’s List and University Honors in all semesters at the University of Michigan
  • 2016, Runners-Up Team in China Final of International Space Settlement Design Competition
  • 2016, Outstanding Contributor in Public Service, granted by the Sichuan State Children Foundation
  • 2015, Excellent Leadership Prize, granted by Chengdu No. 7 High School

Courses

Topics:
  • Learning
  • Manipulation
  • Control
  • Perception
Computer Science:
  • Autonomous Robotics
  • Machine Learning
  • Computer Vision
  • Artificial Intelligence
  • Reinforcement Learning
Mechanical Engineering:
  • Dynamics, Modeling, & Control
  • Auto Control
  • Design & Manufacturing
  • Materials
  • Heat Transfer

Skills

Programming Language

Novice | Intermediate | Advanced | Expert

Python
C++
MATLAB
LaTeX
Javascript
HTML

Technical Topics

Novice | Intermediate | Advanced | Expert

Computer Vision
Dynamics & Kinematics
Control Theory
Mechanical Design
Manipulation
Machine Learning

Softwares & Tools

Novice | Intermediate | Advanced | Expert

SolidWorks
Arduino
OpenCV
Machining Tools
ROS
PyTorch