Jacket Demby's

Jacket Demby's

PhD Student in Electrical and Computer Engineering

Vision-Guided and Intelligent Robotics Lab

University of Missouri-Columbia

About me

Jacket Demby’s is a PhD student in Electrical and Computer Engineering at the University of Missouri-Columbia where he works with the Vision Guided and Intelligent Robotics Laboratory (ViGIR-Lab). He is currently working on robotic manipulation and navigation. His research interests are going towards machine learning, deep learning, robotics, and assistive technologies.

Interests

  • Machine Learning
  • Deep Learning
  • Robotics
  • Assistive Technologies

Education

  • PhD Student in Electrical and Computer Engineering, 2020 (Started)

    University of Missouri-Columbia, Missouri, USA.

  • Msc in Computer Engineering, 2020

    University of Missouri-Columbia, Missouri, USA.

  • Generalist Engineering Diploma, 2015

    Ucac-Icam Institute, Douala, Cameroon.

Publications

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Spatio-Temporal Reconstruction and Visualization of Plant Growth for Phenotyping

This paper focuses on the development of a simple bundle algorithm to register spatio-temporal 3D point clouds for phenotyping applications.
Jacket Demby's, Ali Shafiekhani, Felix B. Fritschi, G.N. DeSouza
PDF Dataset Slides
Spatio-Temporal Reconstruction and Visualization of Plant Growth for Phenotyping

Use of Jacobians for Inverse Kinematics of Articulated Robots: a Study on Approximate Solutions

This master of science thesis focuses on approximate solutions for the inverse kinematics of serial robotic manipulators.
PDF DOI
Use of Jacobians for Inverse Kinematics of Articulated Robots: a Study on Approximate Solutions

Object Detection and Pose Estimation Using CNN in Embedded Hardware for Assistive Technology

This paper focuses on the development of an object detection and pose estimation algorithm that runs on low-cost and limited-processing algorithm.
Jacket Demby's, Yixiang Gao, Ali Shafiekhani, G.N. DeSouza
PDF Slides
Object Detection and Pose Estimation Using CNN in Embedded Hardware for Assistive Technology

A Study on Solving the Inverse Kinematics of Serial Robots using Artificial Neural Network and Fuzzy Neural Network

This paper focuses on the use of Artificial Neural Networks (ANN) to approximate the Inverse Kinematics (IK) of serial robotic manipulators.
Jacket Demby's, Yixiang Gao, G.N. DeSouza
PDF Slides
A Study on Solving the Inverse Kinematics of Serial Robots using Artificial Neural Network and Fuzzy Neural Network