Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: 3D Vision-guided Pick-and-Place Using Kuka LBR iiwa Robot   This paper presents the development of a control system for vision-guided
pick-and-place tasks using a robot arm equipped with a 3D camera. The main
steps include camera intrinsic and extrinsic calibration, hand-eye calibration,
initial object pose registration, objects pose alignment algorithm, and
pick-and-place execution. The proposed system allows the robot be able to to
pick and place object with limited times of registering a new object and the
developed software can be applied for new object scenario quickly. The
integrated system was tested using the hardware combination of kuka iiwa,
Robotiq grippers (two finger gripper and three finger gripper) and 3D cameras
(Intel realsense D415 camera, Intel realsense D435 camera, Microsoft Kinect
V2). The whole system can also be modified for the combination of other robotic
arm, gripper and 3D camera.

12
The categories of this paper are: nucl-th
16
The categories of this paper are: stat
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
23
The categories of this paper are: solv-int
19
The categories of this paper are: eess
34
The categories of this paper are: chem-ph
17
The categories of this paper are: q-fin
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas