Post gradUATE PROJECTS

Cybernetic autotroph evolution

Journey of Cybernetic_Autotroph_Evolution

DesignMorphine Masters Y21/22

Theory framework inspiration & Credits: Walter Patrick smith

Cybernetic Autotroph Interface to an Intelligent Autotrophic society with informed housing, network, and mobility designs that enable humans to foster communication and understanding with a family of autotrophs!

Augmented reality-assisted robot programming system for industrial applications

Overview: At last in the Final semester of my Master's degree, I got a delightful opportunity to handle a research project with Post-doc Research fellows. A place for exploration of Knowledge, creativity and ideas. I'm handling a project funded by A*STAR with a goal towards Smart Manufacturing.

Project: Robotic Welding of Complex Joints

Funded by: A*STAR

Role: Simulation and Verification of Robot Tasks using Augmented Reality Interface

YEAR: AUG 2016

Research Progress and Achievements:

Developed the robot tasks simulations using Robot Operating System (ROS) package. integrated software package to interface Kinect sensor to use the point clouds and constructed the 3D environment of the robot workspace. Achieved the localization and coliision detection of the Weld tool with respect to the Work piece interaction using Octomapping. Used the AR Tool kit for Hand-eye calibration of the Kinect sensor using Augmented reality marker tracking methods.Analyzed Various Hardware accelerators, compared and efficiently developed the octomaps into the Planning environment of the robot.

Link to Publication: https://www.sciencedirect.com/science/article/pii/S0736584519300250


Application of Rapid Response Manufacturing in production of Self Driving Delivery Robot

Overview:

In this project, we explored the impact of traditional manufacturing process followed and carried out to develop such robots. Every step from the design to end of product life cycle has been analysed for the defects and drawbacks. We discussed about the cost, manufacturing and assembly time incurred while following the traditional manufacturing process flow. Based on this analysis, a development and implementation of rapid design techniques was summarized to compare the backlogs of the product development. The analysis carried out using the CAE software enabled us to define the manufacturing time and cost parameter estimation qualitatively. Finally, we concluded the project with cost and time estimated comparison between the old and proposed design of the robot to minimize the lead time of the robot’s manufacturing in order to reach the market faster.

Award: Awarded the "Best Presentation" and "Best Speakers" for the final presentation of the Project.

Year: JAN to APRIL 2016

Self driving delivery robot

Simulation and Control of Under Water robot for Manipulation Tasks

Overview:

Underwater robots have been developed for exploring the deep water sources and biological nature. Recent developments in such platforms have been mainly focussed on the operation and control of the robot in such environments. The new technology in robotics have inducted researchers to develop a robust control system with a collaborative array of sensor network. Thus they will be powered like a human like behaviour to interact with the surroundings. This project deals with such underwater robots designed with two identical 2-degrees freedom robotic arms to interact with the underwater environment. The modelling and animation of the robot is done in the SOLIDWORKS platform followed by designing the controller for each joints to track a given trajectory. The trajectory planning is introduced in this project with adaptive and feedback controllers with SIMULINK and Matlab interface. Later, a study is done on the various drawbacks in the interaction control of the robot and an impedance controller is designed for the robotic arm and discussed for its selection of parameters. A hybrid controller have been designed finally for position control of the robotic arm and concluded with the simulation results for the same.

COMPUTER AIDED DEVELOPMENT OF SMART ENERGY WINDOW

Overview:

Inspired by the energy saving potential of window shades, we virtually developed a smart energy window with sustainable features. The product which is developed virtually, consists of Motorised mechanism to control the motion of Shades, thereby reducing heat gain during day time. It consists of an automatic shade closing feature which adapts to the climatic condition without any human intervention. It has a manual over ride features with smart phone control which reduces the human need to operate the Window shades physically.

The main focus of our product is the design of Window shades with sustainable materials that can be recycled. The materials are selected based on the thermal resistivity factor that reduces the absorption of heat. This contributes to the reduction in heat traps in the building and hence the use of Air conditioning equipments.

YEAR: JAN - APRIL 2016

MACHINE VISION SYSTEM FOR CHARACTER RECOGNITION

Overview:

This computing project deals with the analysis of each image sets given, in order to identify the characters the noisy image and perform mathematical transformation on the character sets in order to display the characters from the image. This project below uses MATLAB as the mathematical processing tool to process the image and perform analysis on the objects in the image. This includes reading and displaying the image, thresholding the image to acquire a binary data of image, determine the outline of the objects in the image, performing transformation son the characters in the image and finally to display the characters in a line accordingly. This report consists of the algorithm used, methodology handled and screen shots of the processing stage in the software tool.

YEAR: AUG- DEC 2015