AIRO IDLab Ghent University - imec | ICRA 2024

This year’s Cloth Track of the 9th RGMC focuses on grasp point localisation on hanging cloth items. Teams can build their perception system in the months leading up to the competition, but performance will be evaluated on a dual-arm robot setup live May 13-15 at ICRA 2024 in Yokohama, Japan! You provide the grasp, and we handle the execution on our robots.

We’re thrilled to have 11 dedicated teams actively preparing for the cloth manipulation challenge!

Left: Dual UR5e setup we will provide at ICRA 2024. Right: Grasp point localisation on a hanging shirt.

Highlights

Competition Ranking 🏆

Congratulations to all 11 teams who successfully completed their 16 live evaluation trials in the ICRA 2024 Cloth Competition! We’re proud of the hard work and dedication each team put into this challenge. The final rankings and scores are listed below.

Rank	Team Name	Score (Average Coverage)
🥇 1st	AIR-JNU	0.60
🥈 2nd	Team Ljubljana	0.57
🥉 3rd	Ewha Glab	0.55
4th	SCUT-ROBOT	0.53
5th	Team Greater Bay	0.53
6th	Samsung Research China - Beijing	0.48
7th	Shibata Lab	0.46
8th	AI&ROBOT LAB	0.45
9th	UOS-Robotics	0.39
10th	AIS Shinshu	0.37
11th	3C1S	0.35

Important links for participants

The Challenge

Regrasping garments in the air is a popular cloth unfolding strategy. To get started, it’s common to grasp the lowest point. However, better grasp points are needed to unfold the garment completely, such as the shoulders of a shirt or the waist of shorts. The objective of the competition is to localise good grasp poses in colour and depth images of garments held in the air by one gripper. We will evaluate your predicted grasp by executing it on a dual UR5e setup live at ICRA. The cloth items that must be grasped will be towels, shirts and shorts. We will provide an image dataset of representative cloth items for preparation, but the evaluation will also include unseen garments.

Practicalities

Participants do not have to worry about the initial lifting of the cloth, grasp execution, camera calibration, etc. We will take care of all that with our open-source codebase airo-mono! At the competition, we will send you an image and you just send us a grasp back in a to-be-specified JSON format. Together with the dataset, we will also provide a Github repository with notebooks and tools to load, visualise and explore the data. Don’t hesitate to contact us if you have any questions!