← Search

Jingqiang Wang

2 accepted papers

2021

Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation

ICRA 2021poster

Billions of people use chopsticks, a simple yet versatile tool, for fine manipulation of everyday objects. The small, curved, and slippery tips of chopsticks pose a challenge for picking up small objects, making them a suitably complex test case. This paper leverages human demonstrations to develop…

Cited by 54SourceScholar
2020

Telemanipulation with Chopsticks: Analyzing Human Factors in User Demonstrations

IROS 2020poster

Chopsticks constitute a simple yet versatile tool that humans have used for thousands of years to perform a variety of challenging tasks ranging from food manipulation to surgery. Applying such a simple tool in a diverse repertoire of scenarios requires significant adaptability. Towards developing a…

Cited by 18SourceScholar