Objective

To Learn.

Current Status

Chief Technical Officer - Gridbots

Foreign Languages

French and English.

Education

B.E.( Prod. and Ind. Engg.) - 2004(M.B.M. Engg. College - Jodhpur)

Academics

· B.E. (PIE) - Highest Aggregate Marks  

·  99.08 %’ile. in GATE 2004 ( Information Technology )  ( AIR-89)

· Selected in IIT Bombay fellowship scheme ( CSE Department)

·  TOEFL : 270/300 and 6/6 in written.

Achievements

International Level

· First at Montana Amateur  “ I Coder “ Contest 2004

· Third in “OPEN HARDWARE “ at Techfest-2004-IIT Bombay.

National Level

· First at “ TROIKA – 2003 “ in Software Competition.( DCE – Delhi )

· First in Software Competition of “ Convergence 2004 “ held at Sobhasariya Engineering College.

· First in Hardware Competition of “ Convergence 2004 “ held at Sobhasariya Engineering College.

· First in Hardware competition “ ECSTASY “ held at IET – Alwar Engineering College.

· First in Software competition “ ECSTASY “ held at IET – Alwar Engineering College.

· Second in model making at IIT Bombay - TECHFEST 2002.

· Second in Technical Quiz at IIT Bombay - TECHFEST 2002.

· Represented College at D.C.E. for "TROIKA – 2002 "  (Only selected outside entry from all India for Predefined Circuit design Contest) (National Level).

  State Level

·         First in Pre submitted Software  ( Encarta  2003)

·         First in Pre submitted Electronic Hardware ( Encarta 2003)

·         First in Pre Defined electronic Hardware design ( Encarta 2003 )

·         First in On the Spot  Circuit Design ( Encarta 2003)

·         First in Hardware Troubleshooting (Encarta 2003)

·         First in IQ Quiz ( Encarta 2003 )

·         First in Pre submitted Software  ( Panache 2002)

·         First in Pre submitted electronic Hardware ( Panache 2002)

·         First in Pre Defined electronic Hardware design ( Panache 2002 )

·         First in Multimedia Quiz organized by APTECH.

·         Second in Hardware Quiz ( Encarta 2003 )

·         Second In Group Discussion ( Encarta 2003)

·         Second in Pre Defined Software design ( Panache 2002 )

·         Second in Pre submitted Software Design. ( Scintilla 2001)

·         Third in Pre submitted electronic Hardware design ( Scintilla 2001)

·         Third "On the spot electronic hardware design “( Scintilla 2001)

·         Third in “ Open House “ project competition on the “Golden Jubilee “ celebration of M.B.M. Engineering College.

·         Represented School and won two awards in "Jawahar Lal Nehru Science Exhibition " (State Level)                                                                        

Others

·         Appreciated by President  " A.P.J. Abdul Kalam "

·         Only participant all over India to be selected for both hardware and software projects simultaneously at IIT – Bombay

       “Techfest-2002 “, “Techfest–2003” and  “ Techfest–2004 “

Patents and publications

·         Patent pending for my “Wireless Virtual PC”.

·         Paper Selected in ANNIE-University of MISSOURI-Rolla-U.S.A.-2004 entitled “ Active Machine Vision “

·         Paper Published in proceedings of UGC National  Seminar on “ Soft

      Computing and Artificial Intelligence “ entitled Pseudo Retina.

·         Paper Published in proceedings of  National  Seminar on “ Industrial

      Systems “ entitled Design and development of a low cost hybrid

·         Paper Selected for UGC National conference on Advances in Industrial

Automation entitled – “ Robotic Vision “

Fields of technical Interest

Machine Vision, Pattern recognition, Robotics, Artificial Intelligence Networks, System programming, Neural Networks ,Genetic Algos.

Volunteer Projects

Developed  “Pseudo Retina” for disabled people.

Developed  “Aide-de-machinia” for paralytic people.

Developed  “Samvad” for deaf and Dumb.                                          Developed  “Artificial Vision System “ for blinds.

Developed  “Intelligence “ (Kit ) for mentally disabled.

Hobbies

Programming, Electronics and Machine design.

Extracurricular activities

·      Owner of  “ Machine Intelligence Group – India “

    ( http://www.migindia.com/ ).

·      Has been president of Prod. Industrial Engg. Student Association. 

·      Started and Chief editor of “Prodigy” –the technical magazine of M.B.M.

·      Chief organizer of “ Jodhpur Group freshers – 2002”

Current Projects

 " RfiD based Automation Antitheft System “

 " Automatic Position Reporting System  (GPS Based)

 " Simple and Cheap Wireless devices for PC "

Computer Skills

Programming Languages

Visual C++ 6.0,MATLAB, C (AT&T, ANSI), C++, JAVA,  Visual Basic 6.0, JavaScript  Assembly ( Tasm & Nasm ), , FORTRAN, MP-Lab (Micro controller - PIC Micro) and  VB Script , dotNET

OS Platforms

 Windows (95,98,ME, 2000,NT, CE), UNIX ,LINUX, Sun – IRIX

 DOS-32, TACL, MAC – OS X

Computer Architecture

IBM and Clones, TANDEM and APPLE MAC

CAD/CAM

 Autocad , CAM Pro

Database

MS Access, MySQL

Web Technologies

PHP , Perl , HTML ,XML , Remoting

Rich Internet Application ( RIA ) Tools

ActionScript , Flex , Flash MX

Projects

 HARDWARE

  Electronic

1.Developed an autonomous Robot “ALIAS”  -Indian Version of NASA’s

   Spirit rover for Mars – (Development cost - $ 1500)

2. Designed and developed " Wireless Virtual PC Terminal Network “.                                             3. Developed "Digital Wireless data acquisition and control system"

4. Designed and developed " Digital Wireless Data Modem ".

5. Developed a Laser & IR - " LAIRS " system for distance measurement.

6. Designed and developed VHF - FM Transceiver  (PLL based)

7. Developed " Blind assistance System " with vision capability.

8. Developed “ Pseudo Retina “ for disabled.

9. Digital PC Multi meter and Oscilloscope with real time waveform 

    display.( Using FFT modules )

10. RTTY – 9600 Baud Radio Modem.( AFSK and OOK )

11. RfiD Based Security System ( Rfid TAG and Reader designing. )

Mechanical     

1. Designed and Developed “ A Programmable hybrid Vehicle  “

2. Designed “Segment Counting Machine “ for Rajasthan Udyog.

3. 4 axis robotic hand with gripper.

SOFTWARE

1. Developed Own 32 Bit Operating System from scratch - INTENSE ³² ".

2. Developed own 16 Bit Operating System with file system.

3. Developed Neural Networks based Face Recognition System

    (Eigenface,PCA and PCA+LDA)

4. Developed Artificial Intelligent Bot.  (Uses semantic networks and has

    common sense database of T.T. (M.I.T. - U.S.A.)

5. Developed Radio Link Protocol (To OSI reference model from

    scratch)

6. Developed " Voice Recognition and Control System ".

    (Using own Sound Engine)

7. Developed " Computer Vision and Image Processing " pack. (Can

   segment image to 16 different objects and identify them from streaming video )

8. Developed a Robot task planning & control Language  " ROBOLA ".

9. Developed " Pseudo English to Hindi Converter for blinds "

10.Software based Distance Measurement System.

11.Developed " XANADU “ a multi protocol multi service network package

12.Developed " Remote Virtual PC " System.

    (Complete control of Networked Nodes from any other node)

13.Developed a real time motion detection and tracking system.

14.Wrote many games, editors and Utility software (Boot loaders, Disk

     Partitioning software disk formatters and emulators etc.)

Circuit Designing

OR Cad, Circuit CAD , P-Spice ,  EWB

Practical Training

·         “ISRO” ,Regional Remote Sensing Centre , Jodhpur ( 45 Days)

·         Pancharia Automation and Infocomm , Ahmedabad       ( 75 Days )

Personal Information

Parents Name : Mr. D.K. Gaur

Date of Birth     :  04 Mar ‘ 81

Contact

Phone          : 09426350180

Email             :gaur[underscore]pulkit[at]yahoo[dot]com

Home Page  : http://www.pulkit.gridbots.com/           

Major Projects

·      ALIAS  , An autonomous robot with AI and vision.

Project Details

· Biologically Inspired Active vision System ( Automatic Object and  face detection )

· Common Sense
· Contains one remote payload for critical applications (Complete onboard control of remote unit)
· Voice Assist and feedback
· GPS based co-ordinate mapper with automatic navigation - GPS not available
· Laser based movement Encoding system.
· Efficient robot task planner module.
· Direction , Illumination , Temperature, obstacle .Fire and smoke, and other various sensors.
· Real-time Ultrasonic range mapper .

· Innovative LADAR system ( Laser and Infrared based range mapping )
· Shortest path and critical path navigation
· Automatic ,Gesture ,Voice, Wireless , Wired (Ethernet) , Programmed mode of control.
· Electronic, Electrical and Mechanical design optimized for efficiency and resource saving.


Technical Specifications

Computing System

· On-Board processor : PIII 800 Mhz ( Intel / MMX / SSE )
· Data storage : 20 GB
· Operating System : Win98 SE
· Robot OS : Logic-P ( Multitasking mode / Pre -emptive )
· Power Consumption : 150 W ( Working ) 100 W ( Stand By)
· Onboard Power : Backup 30 minutes.

Sensor System

· Vision Sensor : CCD ( Logitech )
· Range Sensor : Ultrasonic / LADAR System
· Movement Encoder : Laser Based / Light based
· Co-ordinate / Position Sensor : Onboard GPS / IR Tracker
· Obstacle sensors : IR
· Temperature Sensor : Integrated Circuit
· Illumination Sensor : Integrated Circuit

Control System

· Control

OS ( Server ) : Logic P – Server(Multitasking Mode / Pre- Emptive )
( Node ) : Logic P – Remote ( Slave Mode )
· Control Type : Autonomous / Semi-Automatic/Manual/Forced
· Control Link Type : Wired ( Control Cable / Ethernet )
· Wireless ( RF / IR )
 

· Vision Based ( Gesture Based )
· Control Device : Remote Keyboard ( RF )

· IR Pad
· Hand Glove ( Incomplete )


Salient Features of ALIAS

· ALIAS can automatically discriminate between human beings and Non living things.

· If the identified object is a living thing ALIAS tries to recognize the face and the gesture of person.

· If the object is a non living thing ALAIS tries to identify the object and gives its main characteristics.

· ALAIS can be programmed to navigate between two stations automatically using GPS technology.

· It can find the shortest path between two stations automatically and can be used as an AGV.

· ALAIS can find the distance between its target and itself using ultrasonic distance measurement system.

· It uses innovative technology of LADAR to make a 3D distance contour map based on Laser and Infrared.( Still under development )

· ALIAS has temperature measure system with variable coefficient of correction for accurate measurement.

· It has a Direction sensor which can give the accurate orientation of ALIAS w..r.t. Earth’s Magnetic field.

· ALIAS has a small remote operated payload, which it controls by itself for any critical operation.

· ALAIS has common sense databank, which enables it to make some critical decisions.

· ALIAS can be controlled via voice and gives all its feedback via voice and LCD display.

· It has an Illumination sensor for automatic adjustment of various thresholds of software-hardware interface modules.

· Automatic Task planner for most efficient use of movements.

· On board Power supply for 30 minute backup.

· Real-time interface with base station for every small atomic function and updating of status.

· Innovative movement encoding system based on laser.

· It can talk to the user naturally using NLP software subsystem and voice feedback.

· Short-range sensors mounted on wheel forks for obstacle detection.

· Multiplexed sensor input sub-system.

· Wireless camera for transmission of images to remote server unit.

· Unique hand position decoder.

· Detachable Gripper unit for easy loading and unloading of different grippers.

·      Programmable Hybrid Vehicle

  Project Details   ( Major Grad project. )

1. SPECIFICATION OF THE DESIGNED HYBRID VEHICLE  

DIMENSIONS

OVERALL LENGTH       : 1245 mm

OVERALL WIDTH          :   851 mm

OVERALL HEIGHT        : 1400 mm

WHEELBASE               : 1016 mm

GROUND CLEARANCE:   184 mm

SEATING CAPACITY     : 1  

WEIGHT

UNLADEN WEIGHT       : 100 Kg.

LADEN WEIGHT            : 200 Kg.

ENGINE

TYPE                            : 2 STROKES, AIR COOLED

NOS.  OF CYLINDER     : 1

ENGINE CAPACITY       : 50 cc

MAXIMUM OUTPUT       : 1.75 BHP @ 4500 RPM

MAXIMUM TORQUE     : 3 N-m @ 3500 RPM

ELECTRIC MOTOR

TYPE                            : A.C. TYPE

PHASE                         : 1φ

POWER                        : 1HP

RPM                             : 1450 RPM

VOLTAGE                     : 230 V

POWER TRANSMISSION

ENGINE                        : CHAIN TRANSMISSION

MOTOR                        : BELT DRIVEN

SUSPENSION

REAR                           : COMPRESSION COIL SPRINGS

FRONT                         : HYDRAULIC SHOCK ABSORBER

CAPACITY

FUEL TANK                  : 3 LITRES

Other DATA

Complexity of design                  : Average

Design Cycle    : 60 Days

Development Cycle                     : 60 Days (Interlaced with design)

Design and Development time     : 95 days (combined)

Fuel economy of vehicle             : 40 Kmpl.

Average run per charge   : N/A (50 Km – approximated)

Average time for charge : 6 Hrs (between consecutive runs)

Weight of vehicle                         : 100 Kg.

Control Type                              : Fully Automatic/Manual

Body dimensions                       : 1245 x 851 x 1400 mm

Fuel Type                                  : Gasoline / Electric

Engine Power                            : 1.75 BHP

Electric Traction Power               : 1 H.P.

Seating Capacity                       : 1 Person (expandable to 2)

Fuel carrying capacity                 : 3 liters  

·      32 Bit OS – Intense

Project Details

· Design from scratch , nothing inherited from any existing library

· Native 32 Routines for memory handling upto 4 GB

· Native Bootloader.

· Multitasking kernel.

· Nanokernel Architecture – 15 Kb footprint.

· Constantly under development.

·      Neural Networks based Face Recognition package

Project Details

· Eigenface , PCA and LDA algos.

· BPNN – for training set.

· Quick arbitrating.

· Hierarchical classification of database using nearest neighbor.

· Variable dimensionality in training set parameters.

·      AI based Image processing and machine vision system

Project Details

· Virtually all image format support.

· Automatic image segmentation from complex images with backgrounds

Image recognition using neural networks.

· Real time motion capture and tracking from streaming media.

· Image recognition from wireless cameras.( Video and Still )

· Audio feedback.

· Gesture recognition.

· Skin classifier.

·Visual memory database support for human like navigation.

·         XANADU – Multi protocol network Management and utility

Project details

· TCP/IP, UDP

· FTP / HTTP / SMTP / POP3

· Network management.

· Mail server, chat server, File server, HTTP server.

· Basic bandwidth manager

· Port utilities.