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Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: StarstruckAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: StarstruckAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Organizations

@Electrical-Subsystem-Advitiy @Tech-Meet-Solutions

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aaronjs99/README.md

Aaron John Sabu

Ph.D. Candidate · Roboticist

Perception · Estimation · Planning · Control

I am a Ph.D. candidate in Mechanical and Aerospace Engineering at the University of California, Los Angeles, and a researcher in the Sensing & Robotics for Infrastructure Lab. I develop perception, estimation, planning, and control methods for field robots, with a current emphasis on autonomous inspection of marine infrastructure.

Website · Google Scholar · ORCID · LinkedIn · Curriculum Vitae

Selected work

  • ORBEX-A — Adaptive tube model predictive control for orbital rendezvous and capture. Paper
  • MACRO — Distributed allocation, motion planning, and attitude consensus for autonomous orbital assembly. Paper
  • Manta-LMPC — Decentralized learning model predictive control for coordinated agents.
  • SQuAT Plan — Time-optimal, jerk-constrained trajectory planning for agile quadrotors.

Background

  • M.S. in Electrical and Computer Engineering, UCLA
  • B.Tech. (Honors) in Electrical Engineering with a Minor in Aerospace Engineering, IIT Bombay

Pinned Loading

  1. macro macro Public

    MACRO — Distributed allocation, motion planning, and attitude consensus for autonomous orbital assembly

    Python

  2. orbex-a orbex-a Public

    ORBEX-A — Adaptive tube model predictive control for orbital rendezvous and capture

    Python 1

  3. squat-plan squat-plan Public

    SQuAT Plan — Time-optimal, jerk-constrained trajectory planning for agile quadrotors

    Python 2

  4. learning-augmented-mpc learning-augmented-mpc Public

    Manta-LMPC — Decentralized learning model predictive control for coordinated agents

    Python