Handling of objects with marks by a robot

This paper presents a robot system for handling various objects in home or office environments. A fixed manipulator utilizes marks on objects for handling and motion planning. A mark consists of two parts. One is the outer part, which indicates its pose (in this paper, "pose " denotes 3D position and orientation), and the other is a QR code, which is a kind of 2D barcode. A QR code is stored information of an object (e.g. its name). A user attaches several marks on each object. The manipulator accesses the information using a camera in its hand. The robot can decide its complex handling motion based on the information in QR codes, pose of the objects, which are estimated from pose of marks, and signals from proximity sensors. Experiments are conducted to verify the whole system.

[1]  Akio Kosaka,et al.  Vision-based bin-picking: recognition and localization of multiple complex objects using simple visual cues , 1996, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96.

[2]  John W. Boyse,et al.  Interference detection among solids and surfaces , 1979, CACM.

[3]  Lars Petersson,et al.  Systems integration for real-world manipulation tasks , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[4]  Jin-Long Chen,et al.  Determining Pose of 3D Objects With Curved Surfaces , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Jun Ota,et al.  Design of an artificial mark to determine 3D pose by monocular vision , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[6]  Jianwei Zhang,et al.  Visual guided grasping of aggregates using self-valuing learning , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[7]  M. A. Ismail,et al.  Recognition of occluded polyhedra from range images , 2000, Pattern Recognit..

[8]  Tsutomu Hasegawa,et al.  Motion planning of intelligent manipulation by a parallel two-fingered gripper equipped with a simple rotating mechanism , 1998, IEEE Trans. Robotics Autom..

[9]  Fumiaki Tomita,et al.  3D Object Recognition Using Segment-Based Stereo Vision , 1998, ACCV.