Chun Soo Kim — accepted AI-conference papers

2024

CoAS-Net: Context-Aware Suction Network With a Large-Scale Domain Randomized Synthetic Dataset

Yeong Gwang Son, Tat Hieu Bui, Ju Yong Hong, Yong Hyeon Kim, Seung Jae Moon, Chun Soo Kim +3

RA-L 2024

Robotic grasping is one of the essential skills in robotics. From industrial to housework, robots are required to handle objects, enabling them to interact with their surroundings. Among the various tasks in robotic grasping, bin-picking is considered one of the most challenging because of the clutt

Cited by 6 Source ↗Scholar ↗

2024

ReC-Gripper: A Reconfigurable Combined Suction and Fingered Gripper for Various Logistics Picking and Stowing Tasks

Seunghwan Um, Heeyeon Jeong, Chun Soo Kim, Issac Rhee, Hyouk Ryeol Choi

RA-L 2024

This letter presents a gripper comprising finger and suction with reconfigurable attributes. With the reconfiguration feature, the proposed gripper has a configuration suitable for different working environments of logistic order picking. The finger part of the gripper was configured with the parall

Cited by 9 Source ↗Scholar ↗