Competition Format and Rules:

 

The 2022 Robotic Grasping and Manipulation Competitions (RGMC) will have three tracks:

Cloth Manipulation Track.
The cloth manipulation track tests a system capability in the perception and/or manipulation of textiles. All participants will receive for free a set of the Household Cloth Object Set that they can keep after the competition. The set is a collection of rectangular cloth objects that can be found in any house and span a wide variety of sizes and yarns. This track will be virtual, so that you will be able to use your own setup. We will connect remotely to each lab the competition day. This track contains three tasks: Grasp point detection - selecting a suitable grasping point on a cloth; Unfolding - grasping the cloth and manipulating it until it is placed flat on the table; Folding - folding the cloth on the table following the folding protocol. More details can be found >>HERE<<. Teams can compete either at the IROS site or online.

Service Track.
This track has one task -- set a formal dinner table. It includes three steps: set down dinner plates, a bowl, a glass, and a cup; place silverware and napkins around the plates; fill the glass and cup. The setups, and competition rules are provided with detail >>HERE<<. Teams can compete either at the IROS site or online.

Manufacturing Track.
There will be two manufacturing sub-tasks in the competition, Assembly and Disassembly of a NIST Task Board (NTB) that contains threaded fasteners, pegs of various geometries, electrical connectors, wire connections and routing, and a flexible belt with a tensioner. A pre-competition design will be made available for selected teams to continue development of their systems leading up to the competition. A separate competition board with modified assembly positions (very similar to the pre-competition NTB), and new parts (identical to all parts used in practice), will be supplied prior to a team’s scheduled competition run. All details can be found >>HERE<<. Teams can compete either at the IROS site or online.

* Limited travel support will be provided.

Judges (tentative):
The following judges will evaluate team's performances based on a set of predefined competition rules:
Michael Wolf, Principal Applied Scientist, Amazon
Eugen Solowjow, Head of Research Group, Siemens
Mark Moll, Director of Research, PickNik Robotics
Yu Zheng, Principal Research Scientist, Tencent Robotics X
Guillem Alenya, Director, Institut de Robotica i Informatica Industrial (CSIC-UPC)
Julia Borras Sol, Institut de Robotica i Informatica Industrial (CSIC-UPC)
Irene Garcia-Camacho, Institut de Robotica i Informatica Industrial (CSIC-UPC)
Berk Calli, Assistant Professor, Worcester Polytechnic Institute (WPI)
Joseph Falco, Group Lead, National Institute of Standards and Technology (NIST)
Kenneth Kimble, National Institute of Standards and Technology (NIST)
Yu Sun, Professor, University of South Florida (USF)

WINNERs and PRIZES

Cloth Manipulation Track
Winner for the category of Perception: University of Michigan
Winner for the category of Unfolding: AIS-Shinshu team (Shinshu University)
Winner for the category of Folding: IDLab-AIRO team (Ghent University -- imex)

Manufacturing Track
1st: CASIA-YIT-Tencent
2nd: University of Auckland
3rd: Jaks (Kanazawa University)

Service Track
[The competition was canceled due to the withdrawal of the participating teams.]

Teams

Cloth Manipualtion Track

IDLab-AIRO (Ghent University -- imec)
Victor-Louis De Gusseme (Team Leader), Thomas Lips, Andreas Verleysen Francis wyffels

Chalmers University of Technology
Rita Laezza (Team Leader), Gabriel Waltersson, Ahmet Tekden, Hadi Hajieghrary

ROMI (Hong Kong Polytechnic University and Harbin Institute of Technology)
Peng Zhou (Team Leader), Jiaming Qi, Luyin Hu

University of Michigan
Dmitry Berenson (Team Leader), Zixuan Huang, Dylan Colli

AIS-Shinshu (Shinshu University)
Kimitoshi Yamazaki (Team Leader), Solvi Arnold , Yusuke Kuribayashi, Yuta Yoshioka, Wu Tiancheng

TGP-HKU (Centre for Transformative Garment Production and University of Hong Kong)
Wang Yunhai (Team Leader), Pan Jia, Yang Lei, Jia Ruixing

CMU
David Held (Team Leader), Thomas Weng, Mansi Agarwal

Tsinghua University
Huazhe Xu (Team Leader), Zhengrong Xue, and Mingfei Feng

Service Track

FIT511 (Tsinghua University)
Fuchun Sun (Team Leader), Chao Yang, Naijun Liu, Chengliang Zhong

Sun Yat-sen University
Zhixuan Liu (Team Leader), Shangjin Xie, Nuo Chen, Wei-Shi Zheng

DexTec (Tec de Monterrey)
Luis Alberto Muñoz Ubando (Team Leader), B.C. Gutierrez Cantu, J.A. Cisneros Morales, E.R. Altamirano Avila, R. Mendivil Castro

CASIA-YIT Feifan Robot
Bin Hu (Team Leader), XiaoDong Zhang, XinJie Liu, TianJu Ding, ShuHao Xian

SIAT-CIBS \& Cothink
Yongsheng Ou (Team Leader), Sheng Liu, Juyi Sheng, Yifeng Tang, Gang Gao


Manufacturing Track

University of Auckland
Minas Liarokapis (Team Leader), Felipe Sanches, Geng Gao, Joao Buzzatto

JAKS (Kanazawa University)
Tokuo Tsuji (Team Leader), Riku Kobayashi, Takayuki Yamabe, Tatsuya Ishichi, Harumasa Ishisaki

Purdue University
Harrison McCarty (Team Leader) and Raghava Uppuluri

CASIA-YIT Feifan Robot
Bin Hu (Team Leader), XiaoDong Zhang, XinJie Liu, TianJu Ding, ShuHao Xian

RIL (Indian Institute of Science Bangalore) Abhra Roy Chowdhury (Team Leader), Jayesh Prakash, Darren Alton Dsouza

Monterrey Institute of Technology and Higher Education
Victor Manuel Cedeno-Campos (Team Leader), Mariana Castillo-Quintero Jonathan Andrei Valdes-Garcia, Miguel angel Zuniga-Balderas, Juan Pablo Garcia-Garcia