Patrick Washington

Patrick Washington Email and Phone Number

Research Engineer II @ Gatik
California, United States
Patrick Washington's Location
San Francisco Bay Area, United States
About Patrick Washington

I am a recent PhD graduate from the Multi-Robot Systems Lab in the Stanford University Department of Aeronautics and Astronautics. My focuses are dynamics and control of robotic systems, path planning, and reinforcement learning.

Patrick Washington's Current Company Details
Gatik

Gatik

View
Research Engineer II
California, United States
Website:
gatik.ai
Employees:
185
Patrick Washington Work Experience Details
  • Gatik
    Research Engineer Ii
    Gatik
    California, United States
  • Gatik
    Research Engineer
    Gatik Sep 2024 - Present
    Mountain View, California, United States
  • Stanford University School Of Engineering
    Researcher Phd Candidate
    Stanford University School Of Engineering Jun 2018 - Jun 2024
    Thesis: Efficient and Reconfigurable Approximate Value Functions for Task Scheduling, Path Planning, and Control.Multi-Robot Systems LabOut of Distribution Detection for Image-Based Systems Modeled in the Latent Space- Developed a method for OOD detection to use when planning in the latent space of a learned model using an autoencoder self-consistency metric.- Works alongside previous work on graph-based methods.Path Planning and Control using Learned Dynamic System Models - Worked on tree- and graph-based algorithms to build value functions for and to control systems whose dynamics are treated as a black box. This allows the methods to be applied to learned models of the systems without needing physics equations.Task Scheduling - This work focused on the persistent surveillance problem, which requires drones to monitor a region while intelligently charging, enabling long-term coverage. The problem has direct applications to autonomous taxis and warehouse management. - Developed an algorithm that reduced the problem to a tractable system to achieve near-optimal performance, giving greater than 10x time improvement over optimal methods while significantly outperforming heuristic-based methods.
  • Stanford University School Of Engineering
    Course Assistant (Ta)
    Stanford University School Of Engineering Jan 2024 - Mar 2024
    AA 212 Advanced Feedback Control Design
  • Stanford University School Of Engineering
    Course Assistant (Ta)
    Stanford University School Of Engineering Sep 2022 - Dec 2022
    AA 212 Advanced Feedback Control Design
  • Reliable Robotics Corporation
    Gnc Intern
    Reliable Robotics Corporation Jun 2022 - Sep 2022
    Mountain View, California, United States
  • Stanford University School Of Engineering
    Course Assistant (Ta)
    Stanford University School Of Engineering Sep 2021 - Dec 2021
    AA212 Advanced Feedback Control Design
  • Stanford University School Of Engineering
    Course Assistant (Ta)
    Stanford University School Of Engineering Mar 2021 - Jun 2021
    AA273 State Estimation and Filtering for Aerospace Systems
  • University Of Maryland - A. James Clark School Of Engineering
    Undergraduate Research Assistant
    University Of Maryland - A. James Clark School Of Engineering Jan 2016 - Aug 2017
    Composites Research LabHydraulic Artificial Muscles - Built a starfish-like arm that used artificial muscles driven by water and designed a controller that was able to position the end-effector despite highly nonlinear dynamics. - Part of a multi-university effort to design a robot to perform underwater tasks. - Repurposed an espresso machine's pump to drive the muscles, providing further evidence of the value of coffee in research.
  • University Of Maryland - A. James Clark School Of Engineering
    Undergraduate Research Assistant
    University Of Maryland - A. James Clark School Of Engineering Feb 2014 - Jun 2017
    University Of Maryland
    Collective Dynamics and Control LaboratoryFlexible Fish Robot - Designed and assembled the hardware for a flexible fish-like robot driven by a reaction wheel. - Used 3D modeling for the robot and built test apparatus.Flow Sensing - Created apparatus to generate vortices in water. - Used computer vision to track the flow.
  • University Of Maryland - A. James Clark School Of Engineering
    Teaching Fellow (Undergraduate Ta)
    University Of Maryland - A. James Clark School Of Engineering Jan 2017 - May 2017
    ENAE432 Control of Aerospace Systems
  • University Of Maryland - A. James Clark School Of Engineering
    High School Intern
    University Of Maryland - A. James Clark School Of Engineering Jun 2012 - Aug 2012
    Collective Dynamics and Control Laboratory

Patrick Washington Skills

Solidworks Autodesk Inventor Matlab C++ Microsoft Office Java C# Python Machining End Mill Machine Tools Labview

Patrick Washington Education Details

Frequently Asked Questions about Patrick Washington

What company does Patrick Washington work for?

Patrick Washington works for Gatik

What is Patrick Washington's role at the current company?

Patrick Washington's current role is Research Engineer II.

What schools did Patrick Washington attend?

Patrick Washington attended Stanford University, Stanford University, University Of Maryland, Montgomery Blair High School Science, Math, And Computer Science Magnet.

What are some of Patrick Washington's interests?

Patrick Washington has interest in Programming, Children, Skiing, Soccer, Baseball, Swimming, Diving.

What skills is Patrick Washington known for?

Patrick Washington has skills like Solidworks, Autodesk Inventor, Matlab, C++, Microsoft Office, Java, C#, Python, Machining, End Mill, Machine Tools, Labview.

Who are Patrick Washington's colleagues?

Patrick Washington's colleagues are Archie Anum, Javier Hooks, Ahmed Galal, M. Emery Goss, Ethan Zhou, Clint Kneip, Sergio Luna.

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