Gangyuan Jing — accepted AI-conference papers

2018

Perception-Informed Autonomous Environment Augmentation with Modular Robots

Tarik Tosun, Jonathan Daudelin, Gangyuan Jing, Hadas Kress-Gazit, Mark Campbell, Mark Yim

ICRA 2018poster

We present a system enabling a modular robot to autonomously build structures in order to accomplish high-level tasks. Building structures allows the robot to surmount large obstacles, expanding the set of tasks it can perform. This addresses a common weakness of modular robot systems, which often s…

Cited by 26 Source ↗Scholar ↗

2016

An End-To-End System for Accomplishing Tasks with Modular Robots

Gangyuan Jing, Tarik Tosun, Mark Yim, Hadas Kress-Gazit

RSS 2016poster

The advantage of modular robot systems lies in their flexibility, but this advantage can only be realized if there exists some reliable, effective way of generating configurations (shapes) and behaviors (controlling programs) appropriate for a given task. In this paper, we present an end-to-end syst…

Cited by 82 Source ↗PDF ↗Scholar ↗