Ruishuang Liu — accepted AI-conference papers

2024

NBV/NBC Planning Considering Confidence Obtained From Shape Completion Learning

Ruishuang Liu, Chuan Li, Weiwei Wan, Jia Pan, Kensuke Harada

RA-L 2024

In this letter, we present a novel approach for planning an object's Next Best Views (NBV) so that a depth camera can collect the object's surface point cloud and reconstruct its 3D model with a small number of consequent views. Our focus is especially on thin and curved metal plates, and we use a r

Cited by 3 Source ↗Scholar ↗

2022

Metal Wire Manipulation Planning for 3D Curving - A Low Payload Robot that Uses a Bending Machine to Bend High-Stiffness Wire

Ruishuang Liu, Weiwei Wan, Emiko Isomura, Kensuke Harada

IROS 2022poster

This paper presents a combined task and motion planner for a robot arm to carry out 3D metal wire curving tasks by collaborating with a bending machine. We assume a collaborative robot that is safe to work in a human environment but has a weak payload to bend objects with large stiffness, and develo…

Cited by 3 Source ↗Scholar ↗