Yeping Wang    

I am a Computer Science PhD Candidate at the University of Wisconsin-Madison, advised by Michael Gleicher. I am currently focused on developing planning and optimization algorithms for both fixed-base and mobile manipulators. I am also interested in human-robot interaction and robot visualization.

Previously, I obtained my Master's degree in Robotics from Johns Hopkins University, where I was supervised by Chien-Ming Huang.

yeping@cs.wisc.edu

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Publications

Motion Comparator: Visual Comparison of Robot Motions RAL, ICRA'25       PDF  •  Code

We design and build a web-based tool for roboticists to understand, compare, and share robot motions.

IKLink: End-Effector Trajectory Tracking with Minimal Reconfigurations ICRA'24       PDF  •  Poster •  Code

A method for tracking end effector trajectories while taking minimal breaks to reconfigure the arm position.

Unlocking the Performance of Proximity Sensors by Utilizing Transient Histograms RA-L, ICRA'24       PDF  •  Project page  •  Video  •  Code

We directly utilize low-level information generated by optical time-of-flight sensors to recovery of planar geometry and albedo from a single sensor measurement.

RangedIK: An Optimization-Based Robot Motion Generation Method for Ranged-Goal Tasks ICRA'23       PDF  •  Presentation  •  Poster  •  Code

A real-time motion generation method that accommodates various types of kinematic requirements within a single, unified framework.

Exploiting Task Tolerances in Mimicry-based Telemanipulation IROS'23       PDF  •  Poster

We explore task tolerances, i.e., allowable position or rotation inaccuracy, as an important resource to facilitate smooth and effective telemanipulation.

Periscope: A Robotic Camera System to Support Remote Physical Collaboration CSCW'23       PDF  •  Project page

We design, build, and evaluate Periscope, a robotic camera system that allows two people to collaborate remotely on physical tasks.

Understanding Control Frames in Multi-Camera Robot Telemanipulation HRI'22       PDF  •  Presentation

We investigate the effects of using multiple view-specific control frames in a multi-camera interface on task performance and user experience during robot telemanipulation.

See What I See: Enabling User-Centric Robotic Assistance Using First-Person Demonstrations HRI'20       PDF  •  Presentation

We explore how first-person demonstrations can be utilized to enable user-centric robotic assistance in human-robot collaborative assembly tasks.

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