Hello! My name is Dingkun Guo. I am a Master’s from the Robotics Institute at Carnegie Mellon University. My advisors were Prof. Jeffrey Ichnowski and Prof. Chris Atkeson. I worked on robot manipulation, robot learning, and computer vision.
During my undergraduate at the University of Michigan, Prof. Kenn Oldham was my advisor. We created a small-scale walking-to-rolling robot. I also learned from Prof. Xun Huan on uncertainty quantification of medical imaging AI.
From Words and Vision to Robot Grasps: Leveraging Large Models for Manipulation
- In Submission [website]
Dingkun Guo, Yuqi Xiang, Mingyu Ding, Masayoshi Tomizuka
Leg Shaping and Event-Driven Control of a Small-Scale, Low-DoF, Two-Mode Robot
- IEEE Transactions on Mechatronics (TMECH), May 2022
- IEEE International Conference on Advanced Intelligent Mechatronics (AIM), July 2022
Dingkun Guo, Larissa Wermers, Kenn R. Oldham
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
