Prepasap

1. LITRATURE SURVEY
TITLE: Algorithm for Robot Writing Using Character Segmentation
AUTHOR: S. Yussof; A. Anuar; K. Fernandez
ABSTRACT:
This algorithm is based on character segmentation, where the
main idea is to store character information as segments and the
segment information can then be used by the robot to write. We have
also developed a sample application using the proposed algorithm to
allow a Mitsubishi RV-2AJ robotic arm to write English characters and
numbers. Through our experiment, it has been proven that the
algorithm developed is able to allow the robotic arm to write.

2. LITRATURE SURVEY
TITLE: Real Time Writing Reproduction by Robot Arm
AUTHOR: Dezhou Zhang; Jianxin Chen; Ming Zhang; Hui Ji
ABSTRACT:
Robot writing has been concerned due to the development of industry
technique. Previous studies focused on the writing by inputting the
predefined motion or characters to the robot, and few work has been done
on the real time writing due to the challenges. In this paper we control the
robot to write in real time with a 3D camera Kinect. .

3. LITRATURE SURVEY
TITLE: Design and Development of Writing Robot Using Speech Processing
AUTHOR: Muskan Mathur; Safiyyah Samiulla; Vidisha Bhat; J. Jenitta
ABSTRACT:
Our proposed system is an interactive system in which students
can hear the questions and speak out the answers in a systematic
order after which the whole transcript is mailed to the teacher which is
then engraved by the robotic arm on a paper. At the end of
examination, the answer sheet of the student comes out as softcopy
as well as hardcopy. To implement the proposed work we have used a
software unit which uses python library speech_recognition and
hardware unit which uses Arduino Uno and CNC shield. The proposed
system has a Word Error Rate of 21%.

4. LITRATURE SURVEY
TITLE: Character recognition for Writing Robot Control using ANFIS
AUTHOR: Adlina Taufik Syamlan; Hendro Nurhadi; Bambang Pramujati
ABSTRACT:
This paper is designed to display these qualities in a form of a writing
robot. Image processing, character recognition, path planning and theta
deduction are studied in this project. This paper served as discussion in
image processing techniques used for writing robot and neural network to
classify the letters. Letters are restricted to uppercase, and in a form of
image. Image is converted into binary, which then letters are separated to
form an image matrix. Image matrix will serve as training data for neural
network. Performances of neural network are evaluated using test set
prepared, to determine the scope of font recognizable using neural network.

5. LITRATURE SURVEY
TITLE: A Survey on Robotics Arm Showing Writing Skills by Speech
Recognition
AUTHOR: Rohit L Mudbe; Sunil N Pawar
ABSTRACT:
Robotic arms are programmed robot manipulator with
functioning similar to a human arm. Speech recognition has been
evolved as an interface for computer control where speech recognition
enables a person to sidestep the traditional keyboard and activate a
computer through speech control. This novel conjunction of robotic
arm and speech recognition opened up many areas which can be
benefitted from its application.