Shaoting Peng (彭绍庭)

I am an incoming 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 robust perception in 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  /  linkedin  /  Github

News

Research Projects

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.

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.

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.

Investigated the feasibility of using electroencephalogram (EEG) to achieve binary motor intention classification for robot assistive control in real-time.

Education

University of Pennsylvania

ShanghaiTech University

University of California, Berkeley

Miscellanea

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