PROJECTS

Topics I've worked on include Physical Human-Robot Interaction, Adaptive Control, Automation, Deep Learning, Machine Learning, Computer Vision, Embedded Systems, and PCB Fabrication

Projects

Admittance Control of KUKA LBR iiwa 14 Robot arm for Augmented Reality based rehabilitation.

ROS + KUKA + ATI EtherCAT F/T Sensor in Admittance Controller for AR based rehabilitation.

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Bayesian Optimization for Robot-Aided Rehabilitation: Adaptive Variable Impedance Control of a Wearable Ankle Robot

Robust VIC Parameter Optimization using Bayesian Optimization and Student-t Process Regression.

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Rockwell Micro850 PLC and Ignition HMI/SCADA for Water Level Control

Rockwell CCW for PLC based control of water level. Cogent Datahub SCADA setup and Ignition software HMI design.

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Real-Time Object Detection for Autonomous Drone Navigation and Obstacle Avoidance

DJI Tello Control to classify objects in vision, identify obstacles and interpret hand pose to navigate.

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System Integration: Manipulation and Autonomous Local Distribution for Industrial Automation

Motion Planning a UR5 6DOF Manipulator for conveyor belt operation and Turtlebot for autonomous local distribution in ROS with Python.

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Multi-Robot Object Transport Using Potential Field and Symmetric Formation Control

Multi-Robot grasping and transportation strategy in MATLAB.

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Design and Implementation of Micro-Controller Training Kit with GUI Support

Hardware design, fabrication, and testing of a multi-microcontroller training kit employing Autodesk EAGLE, as an innovative approach to embedded programming training.

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Real-Time Digital Signal Processing on STM32F407G

Real-time Image and Speech Processing

Instructed students in Circuit Design, Programming, and Debugging in Embedded C, ARM Assembly, and MATLAB as lab TA for Real-time Digital Signal Processing and Analog and Digital Circuit Design courses.

PUBLICATION

Network-Level Heterogeneous Traffic Flow Modelling in VISSIM

Transportation in Developing Economies (2021)

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ML model for Travel-time prediction

Used Tensorflow, OSMnx, and OSRM to predict travel-time in network.

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