R-Bo is a programmable humanoid robot that can see, hear, speak and move. It uses C#.NET and Windows OS with the goal of bringing artificial intelligence into homes. R-Bo has capabilities in various domains including image processing, pattern recognition, and human-computer interaction. It is designed with hardware like a LCD monitor, webcam, motherboard and software like C#.NET, Android and embedded systems. R-Bo can interact with users through voice using AIML, map environments using SLAM, recognize faces using EmguCV and be controlled remotely with an Android application. Future work includes more advanced navigation, obstacle detection and accessing social media.

1. R-βo
……HUMONOID
Presented B y:- ROBOT
Lalit bokde
Dhiraj ninave
Pranay pashine
Rahul rangari
Mahendra kelapure
Surendra thavkar
Next End

2. INTRODUCTION:
 R-BO is a programmable electro-
mechanical set that can SEE, HEAR,
SPEAK & MOVE.
 Rbo is a robot that uses c#.net and
windows OS, whose motto is "Artificial
Intelligence at Home"
Prep Next End

3. DOMAIN:
 ARTIFICIAL INTELLIGENCE
 IMAGE PROCESSING
 PATTERN RECOGNISATION
 HUMAN COMPUTER INTERACTION
 MOBILE COMPUTING
 EMBEDDED SYSTEM
Prep Next End

4. R.Bo DESIGN: PLATFORM:
 S/W PLATFORM:
Front-End:
C#.NET
Android
Embedded systems
Microsoft using c
KINECT Microsoft Robotics
webcam
Development Studio
Back-end:
MS SQL Server
Robot
LCD monitor  HARDWARE:
wheels
LCD Monitor
Webcam
Navigator (Kinect)
(in rear)
motherboard Motherboard.

5. About Hardware Kit
 PIC Microcontroller
18F4550
 L298D Motor Driver .
 Serial To USB
Adapter.

6. AIML (for Voice Interaction)
 AIML, or Artificial Intelligence Markup
Language, is an XML dialect for creating
natural language software agents.
 Here is a simple category:
<category>
<pattern>
WHAT IS YOUR NAME
</pattern>
<template>
My name is John.
</template>
</category>

7. SLAM
Simultaneous localization and
mapping (SLAM) is a technique used
by robots and autonomous vehicles to
build up a map within an unknown
environment (without a priori
knowledge), or to update a map within
a known environment (with a priori
knowledge from a given map), while at
the same time keeping track of their
current location.

8. Face Detection And Recognition
Recognize people is a key
element for improving
human-robot interaction
in service robots
Emgucv is a computer
vision and machine learning
software library which used
Face recognition and object
recognition

9. PLATFORM:
 Third Party Component:

10. Working With Android Application
R-Bo Client
 Navigation using
Accelerometer.
 Sending Voice Instruction.
 Chatting with R-bo Remotely.
 Send Navigation Path using
Maps.
 Remote View through R-bo.

11. DEMO

12. Navigation

13. Voice Chat

14. Face Recognition

15. Palm Mouse Controlling

16. Measure Height

17. Future Scope :
 3D Mapping Navigation and R-bo find
his own path .
 Obstacle Detection.
 R-bo getting information from Social
networking e.g facebook.
 And Many More…..

18. Reference :
R-Bo

19. The real world is much smaller than the world of
our imagination. Nothing belongs to you more in
property than your own dreams.
“Friedrich Nietzsche”
THANK YOU
I FAILED my exam IN Some SUBJECTS
BUT MY FRIEND Passed .Now he’s an engineer in Microsoft
and
I am the OWNER
-Bill Gates