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PARTH PATEL

A: Worcester, MA, USA | M: (+1) 313-985-4604 | E: [email protected]
GitHub: @parth-20-07 | LinkedIn: @parth-pmech | Website: parth-20-07.github.io

OBJECTIVE SUMMARY

I am a Robotics and Embedded Systems Engineer with 4+ years of industry experience in embedded systems-based product prototyping and development with a focus on creating consumer-friendly and safe designs. My expertise lies in the field of Motion Planning and Control Systems Design with specialized skills in Embedded Systems design.

EDUCATION

Master of Science, Robotics Engineering (Aug' 22 - Present)
Worcester Polytechnic Institute, MA, USA(GPA: 4.0 / 4.0)
Related Courses: Robot Control, Human-Robot Interaction, Swarm intelligence/Robotics, Soft Robotics, Motion Planning, Reinforcement Learning
Bachelor of Technology, Electrical Engineering (July 17 - May 21)
Pandit Deendayal Energy University, Gujarat, INDIA(CPI: 9.07 / 10)
Related Courses: Power Electronics, Differential Equations, Control Systems

PROFESSIONAL EXPERIENCE

Embedded Systems Design Intern, ECOLOGIC PVT. LTD.  (Dec' 21 - July' 22)

  • Designed and developed environmental sensory products with a focus on smart sensors and embedded networks, aimed at simplifying air quality management for technologically inexperienced individuals.
  • Successfully developed innovative products that led to the company securing funding of over INR 320,000/-.
  • Demonstrated creativity, technical expertise, and business acumen in delivering a product that met market demand and generated significant funding.

Embedded Systems Engineer Intern, DASH DOT ROBOTICS (July' 21 - Dec' 21)GitHub

  • Created a Smart Warehouse Inventory Management System utilizing ESP Chips to streamline inventory movement.
  • Successfully designed and implemented the system, resulting in a significant reduction of inventory management time by 78%, while also improving employee productivity by 13%.
  • Demonstrated technical expertise and problem-solving skills in delivering an effective solution that resulted in improved efficiency and productivity.

Circuit Design Intern, ENCUBE FABLAB (Dec' 19 - May' 21)

  • Developed in-house educational kits for STEM education, emphasizing repairability and easy assembly, to educate rural children in India.
  • Successfully implemented newer designs that reduced production costs by 63% and assembly time by 13%, leading to a 23% decrease in costs to end-users and an 11% improvement in sales.
  • Demonstrated a commitment to social responsibility, innovation, and business acumen in delivering an effective solution that improved access to quality education for underprivileged children in rural India.

Circuit Design Intern, MEDISCIENT DEVICES PVT. LTD.  (Aug' 20 - Nov' 20)

  • Engineered an FDA-approved smart Insulin Injection device with a compact form factor and BLE communication, enabling reminder and dosage calculation features.
  • Successfully designed and implemented a new product that reduced sugar spikes in blood by 14% over standard delivery methods, leading to an improvement in health status by 12%.
  • Demonstrated technical expertise, innovation, and commitment to improving healthcare outcomes in delivering an effective solution that improved patient health and well-being.

Product Design Intern, RADHE GLASSWORKS (Oct'19 - Dec' 19)

  • Devised an ampoule counting mechanism utilizing embedded hardware to track production rate while researching high-quality glass detection sensors.
  • Successfully developed a counting mechanism that reduced inventory management time by 93% and reduced costs to the company by 8%.
  • Demonstrated technical expertise and innovative thinking in delivering a solution that improved efficiency, productivity, and cost-effectiveness in the manufacturing process.

PROJECTS

Analytical Convergence Bounds of Distributed Intermittent Swarm Communication for Enhanced Efficiency and Scalability (C/C++, Buzz, ArGoS) GitHub

  • Designed and experimented to investigate the behavior of a homogeneous swarm of robots with intermittent communication and collective priority on data transmission.
  • Successfully observed effective bridge formation under specific tuning parameters, where agents prioritized data transmission over other factors.
  • Demonstrated proficiency in experimental design, and data analysis, and an ability to draw meaningful insights from observations.

Multi-Tier UAV Search and Retrieve System with Sequential Motion Planning for Optimal Efficiency and Precision (C#, Unity) GitHub

  • Developed a Search and Rescue pattern system utilizing Multi-UAV systems with dynamic and agile Motion Planning support, categorizing drones based on power, battery capacity, and speed.
  • Successfully implemented a system that enabled efficient and effective search and rescue operations by optimizing the capabilities of different drones in the system.
  • Demonstrated technical expertise and problem-solving skills in delivering a solution that improved the effectiveness and efficiency of search and rescue operations.

Gearbox Disassembly Optimization Leveraging 3D Configuration Space Exploration with RRT Algorithm (C#, Unity) GitHub

  • Created a continuous motion planner by utilizing RRT-based sampling to disassemble a gearbox shaft.
  • Conducted rigorous testing and fine-tuning of the algorithm to enhance its efficiency and speed, while minimizing time and space complexities.
  • Demonstrated proficiency in algorithm development, testing, and optimization to deliver an effective solution.

Combinational and Sampling-Based Motion Planning Strategies for Multi-Agent Systems (C#, Unity) GitHub

  • Developed a multi-agent system to evaluate the efficacy of AStar Motion Planner in conjunction with Probabilistic Roadmap Nodes.
  • Conducted a simulation to test the performance of the system and fine-tuned the distance and mapping parameters to optimize the planner's effectiveness.
  • Showcased proficiency in system design, simulation, and parameter tuning to deliver a high-quality experiment.

Hybrid AStar-based Motion Planner for Non-Holonomic Vehicle Constraints in Autonomous Navigation (C#, Unity) GitHub

  • Designed and implemented a Hybrid A-Star-based planner to accommodate three distinct vehicle types, each with Non-Holonomic Constraints.
  • Successfully applied the planner to navigate a Differential Drive DiWheel Robot with Skid Steer Kinematics, an Ackerman Steering-Based Car, and an Ackerman Steering-Based Truck with Differential Drive DiWheel Trailer Chain.
  • Demonstrated expertise in solving complex planning problems and delivering efficient solutions.

Dynamic Trajectory Planning and Coordination for UAV Swarm Systems: Unleashing Collective Intelligence for Complex Missions (C#, Unity, ROS)

  • Created a Dynamic Planner for a Swarm of UAVs with dynamic environment detection and multi-agent motion planning support.
  • Successfully developed a system that utilized dynamic environment detection and multi-agent motion planning to enable the efficient and effective operation of a swarm of UAVs in dynamic environments.
  • Demonstrated technical expertise and innovative thinking in delivering a solution that improved the capabilities of UAVs in dynamic environments, enabling them to perform complex tasks more effectively.

Human-Robot Interaction Revolutionized through Robot Teleoperation with Augmented Reality Virtual Surrogates (C#, Unity, Augmented Reality) GitHub

  • Designed and developed a WayPoint Generation System for drones using ARCore XR Plugin and AR Foundation plugin.
  • Successfully implemented a system that improved usability by 20% and reduced task difficulty by 17%, enabling efficient and effective generation of waypoints for drone navigation.
  • Demonstrated technical expertise and innovative thinking in delivering a solution that improved the capabilities of drone navigation, making it easier and more accessible for users.

Dynamic Sliding Mode Control for UAVs: Advancing High-Precision 3D Trajectory Tracking (Python, ROS1 Noetic Ninjemys, Gazebo) GitHub

  • Generated a fifth-order trajectory with an accuracy of 0.03% for path planning.
  • Designed and deployed Sliding Mode Controllers to achieve trajectory tracking for micro UAVs, with an acceptable error range of 1% while countering environmental noise.
  • Demonstrated technical expertise in trajectory planning, control design, and noise suppression to deliver an effective solution that enabled the efficient and effective operation of micro UAVs.

Kinematic and Dynamic Analysis of SCARA Robots: Designing High-Performance Controllers for Enhanced Precision and Manipulation (C++, ROS2 Humble Hawksbill, Gazebo) GitHub

  • Implemented and fine-tuned Position and Velocity PD Controllers to achieve more than 99.3% accuracy in control.
  • Successfully delivered a high-precision control system that met stringent performance requirements, demonstrating proficiency in control design and tuning.

Intelligent Optimization and Automation of Smart AC Systems using Advanced Energy Modeling and Control Strategies (YAML, C/C++, HomeAssistant)

  • Developed a smart air conditioner using a window AC unit, temperature sensor, and smart plug.
  • Achieved an estimated 35% improvement in energy efficiency compared to traditional AC units by dynamically adjusting cooling settings based on real-time temperature data.
  • Demonstrated proficiency in IoT integration, software development, and energy optimization while showcasing innovation in leveraging emerging technologies for enhanced user experiences and sustainability practices.

MINI PROJECTS

  • Intelligent Path Planning Algorithms in C++: Implementing Breadth-First Search, Depth-First Search, and Dijkstra Search for Efficient Graph Exploration and Analysis (C/C++) (C/C++) GitHub
  • Kinematics and Dynamics Analysis of a Sophisticated 2 Degree-of-Freedom (DoF) Revolute Robot Arm: Developing Equations of Motion for Optimal Performance (MATLAB, Gazebo, ROS 1) GitHub
  • Position Tracking using State Feedback Controller Design for a 2 Degree-of-Freedom (DoF) RRBot: Achieving Unparalleled Precision in Robotic Motion Control (MATLAB, Gazebo, ROS 1) GitHub
  • Advanced Trajectory Tracking using State Feedback Linearization Control for a 2 Degree-of-Freedom (DoF) RRBot: Leveraging Cutting-Edge Control Techniques for Enhanced Robotic Motion Tracking (MATLAB, Gazebo, ROS 1) GitHub
  • Trajectory Tracking Excellence with Robust Controller Design for a 2 Degree-of-Freedom (DoF) RRBot: Achieving Optimal Performance and Robustness in Robot Motion Control. (MATLAB, Gazebo, ROS 1) GitHub

TECHNICAL SKILLS

Languages: C/C++, C#, Embedded C/C++, Python, Rust, Shell, Bash
Frameworks: Docker, ROS1, ROS2, Unity, Gazebo, MATLAB, Simulink, Arduino, Raspberry Pi, STM32, NumPy, SymPy, Pandas
Other Skills: SolidWorks, Fusion360, Circuit Design, Software Development, HTML, CSS, Git, SQL

Parth Patel's Projects

automatic-name-plate icon automatic-name-plate

I have created an automatic address plate which turns the backlight ON/OFF on the programmed time. The base microcontroller used is Node MCU which connects to my home Wifi. After connecting to Wifi, it contacts the NTP server and updates it current time.

clean_vac icon clean_vac

This is a 3D Design of an automatic UV Based sanitization device which can use ROS to map the whole house and clean it on frequent intervals.

cppcoreguidelines icon cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

deep-learning-book-pdf icon deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

motion-planning-online icon motion-planning-online

This repository contains all my skills and progress that I developed during RBE 550-S01 - Motion Planning at WPI

robot-control icon robot-control

This repository contains all my skills and progress that I developed during RBE 502 - Robot Control at WPI

simglucose icon simglucose

A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose

swarm-intelligence icon swarm-intelligence

This repository contains all my skills and progress that I developed during RBE 595-S07 - ST: Swarm Intelligence at WPI

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