Shaoting Peng

I am a first-year Ph.D. student advised by Dr. Katie Driggs-Campbell at University of Illinois Urbana-Champaign (UIUC) Electrical and Computer Engineering (ECE) department. I earned my Master degree in Robotics at GRASP Lab of University of Pennsylvania, co-advised by Dr. Nadia Figueroa and Dr. Ruzena Bajcsy. My research interests currently lie in algorithmic human-robot interaction (HRI).

Prior to graduate study, I received my Bachelor degree in Computer Science and Technology from ShanghaiTech University in 2022, advised by Dr. Xuming He.

Email / Google scholar / linkedin / Github

News

[August, 2024] One cat🐱 got adopted to my home!

[July, 2024] One paper got accepted to IROS 2024!

[May, 2024] One paper got accepted to RO-MAN 2024!

[April, 2024] I'll start my PhD at University of Illinois Urbana-Champaign (UIUC) Electrical and Computer Engineering (ECE) department from fall 2024, advised by Dr. Katie Driggs-Campbell!

[February, 2024] Two papers got accepted to ICRA 2024!

Research Projects

	Reactive Temporal Logic-based Planning and Control for Interactive Robotic Tasks Farhad Nawaz, Shaoting Peng, Lars Lindemann, Nadia Figueroa, Nikolai Matni IROS 2024 Project page / Video / Arxiv Proposed a modular control architecture that generates both safe and reactive motion plans for human-robot interaction by integrating temporal logic-based discrete task level plans with continuous dynamical system (DS)-based motion plans.
	A Robust Filter for Marker-less Multi-person Tracking in Human-Robot Interaction Scenarios Enrico Martini, Harshil Parekh, Shaoting Peng, Nicola Bombieri, Nadia Figueroa RO-MAN 2024 Project page / Video / Arxiv Proposed a filtering pipeline that refines incomplete 3D human pose estimation using a single RGB-D camera to address occlusions and mis-detections, reducing unexpected robot jittering and enabling smoother interaction.
	Object Permanence Filter for Robust Tracking with Interactive Robots Shaoting Peng, Margaret X. Wang, Julie A. Shah, Nadia Figueroa ICRA 2024 Project page / Video / Arxiv Proposed a set of assumptions and rules to computationally embed ''object permanence'' into a particle filter scheme to form the 6-DoF object permanence filter (OPF) for occlusion-aware robust perception.
	On the Feasibility of EEG-based Motor Intention Detection for Real-Time Robot Assistive Control Ho Jin Choi, Satyajeet Das, Shaoting Peng, Ruzena Bajcsy, Nadia Figueroa ICRA 2024* Project page / Video / Arxiv Investigated the feasibility of using electroencephalogram (EEG) to achieve binary motor intention classification for robot assistive control in real-time.

Education

University of Illinois Urbana-Champaign

PhD Student in Electrical and Computer Science
August 2024 - May 2029 (anticipation)

University of Pennsylvania

Master of Science in Engineering, Robotics
September 2022 - May 2024

Working as a graduate researcher at Figueroa Robotics Lab under GRASP Lab.

GPA: 4.0

ShanghaiTech University

Bachelor of Engineering in Computer Science and Technology
September 2018 - June 2022

Worked as a undergraduate research assistant at PLUS lab

Worked as a teaching assistant in Prof. Sören Schwertfeger's CS110: Computer Architecture in Spring 2021.

Worked as a teaching assistant in Prof. Lifeng Yang's CS110: Computer Architecture in Spring 2021.

Magna Cum Laude

Miscellanea

I love photographing, here can find some of them.

I like playing acoustic guitar, my favorite guitarists are Kotaro Oshio and Masaaki Kishibe.

I like doing sports, especially working out, swimming, playing badminton and tennis.

I'm a cat person, and my MBTI is ISTP

I believe in the conservation of luck.

This template is a modification to Jon Barron's website.