Abhinav Kamath Email & Phone Number

Seattle, Wa, Us

Seattle, Wa, Us

Cambridge, Massachusetts, United States

Rocket landing guidance and controlHost: Dr. Avishai Weiss

Seattle, Washington, United States

Research: High-performance guidance and control for autonomous aerospace systemsGroup: Autonomous Controls Laboratory (ACL)Advisor: Dr. Behçet Açıkmeşe

Seattle, Washington, United States

Flight controls at Amazon Prime AirMentor: Dr. Miki Szmuk

Houston, Texas, United States

Houston, Texas, United States

· Development and implementation of dual quaternion-based 6-DoF powered-descent guidance (DQG) for onboard precision lunar landing guidance using sequential conic optimization (SeCO)· Development and implementation of a customized first-order convex optimization solver, using the proportional-integral projected gradient (PIPG) method, to enable real-time DQG onboard the SPLICE descent and landing computer (DLC) for upcoming terrestrial rocket-landing tests· Design and implementation of a real-time multi-phase rocket landing guidance algorithm using SeCOSPLICE: Safe and Precise Landing — Integrated Capabilities EvolutionMentor: Gavin Mendeck

University Of California, Davis

Master’s thesis: Robust thrust vector control for precision rocket-landingAdvisor: Dr. Stephen Robinson

Mountain View, California, United States

· Helped facilitate the development of semi-autonomous (remotely piloted) robotic aircraft by working on navigation and control algorithms for advanced autopilot systemsNavigation:· Developed an extended Kalman filter (EKF) for wind speed estimation· Analyzed GPS receiver data via pseudorange computationControl:· Designed a control system to handle time-delayed engine torque control· Designed a MIMO feedback controller for longitudinal aircraft dynamicsMentor: Matt Nehrenz

Hawthorne, California—Las Vegas, Nevada, United States

· Research on innovative guidance, navigation, and control systems for The Boring Company tunnel boring machines, including Godot+ and Prufrock· Development of a coordinate system transformation algorithm for next-gen tunnel boring machines· Contribution to the development of the Las Vegas tunnel project(s) and research on underground vehicle navigation for the Vegas Loop transportation system· Trade-studies, cost-analyses, and team-wide presentations on sensors and novel GNC system architecturesManager: Riccardo Biasini

University Of California, Davis

· Led the technical design of the Pod for the next SpaceX Hyperloop Pod Competition; derived the high-level requirements for the vehicle· Led a team of 70+ members—conducted the system design review (SDR) and the preliminary design review (PDR)· Integration of all the subsystems: controls, propulsion, power, braking, stability, and structures· Development of a modeling and simulation framework (with 3D visualization), to design and test/tune real-time estimation and control algorithms, and propulsion (LIM) and braking (magnetic) models· Led the effort towards software-in-the-loop and hardware-in-the-loop simulations

University Of California, Davis

2019 SpaceX Hyperloop Pod Competition· Top 21 team among over 1200 participating teams· Visited the SpaceX HQ in July, 2019 to take part in the final round of the competition (07.14.2019 - 07.21.2019)· Implemented the sensors and Pod communications and interfaced components with an Allen-Bradley PLC· Successfully passed the full functional test at SpaceX

University Of California, Davis

NASA Big Idea Challenge 2020Design of propellant-optimal hop trajectories and assistance with GNC system design for the Lunar Emulated Hopper Platform (LEHoP)

University Of California, Davis

REALOPImplementation of the satellite UHF radio and communication systems - for the Remote Experimentation and Analysis of Low Orbit Phenomena nano-satellite mission

Nasa Research Park, Moffett Field, Ca

· High-fidelity multi-DoF multibody dynamics modeling and simulation of the skyTran MagLev Personal Rapid Transit (PRT) vehicle prototypes