Resume

• 2011

  Summer School

  Design

  Perception

  and Control

  Autonomous Micro Aerial Vehicles

  ETHZ Swiss Federal Institute of Technology Zurich

  Master of Science

  Electronics

  Automatic Controls

  Robotics

  Microelectronics

  Telecommunications

  Electrotechnics.

  Electronics Engineering

  University of Catania

  National Association of Engineers

  Italian Professional Engineer License

• 3.96

  English

  Italian

  Doctor of Philosophy (PhD)

  Unnamed Aerial Vehicles

  Robotics

  City University of New York

• Sensor Fusion

  C

  Control Systems Design

  Simulations

  LabVIEW

  Python

  Matlab

  Programming

  Labview

  Electronics

  Simulink

  Robotics

  Image Processing

  Microcontrollers

  Sensors

  LaTeX

  C++

  Computer Vision

  Modeling

  ROS (Robot Operating System)

  Autonomous quadrotor flight using onboard RGB-D visual odometry

  Autonomous quadrotor flight using onboard RGB-D visual odometry

  6-DoF pose localization in 3D point-cloud dense maps using a monocular camera

  Fast visual odometry and mapping from RGB-D data

  Keeping a Good Attitude: A Quaternion-Based Orientation Filter for IMUs and MARGs

  A Linear Kalman Filter for MARG Orientation Estimation Using the Algebraic Quaternion Algorithm

  Design and Analysis of a Single—Camera Omnistereo Sensor for Quadrotor Micro Aerial Vehicles (MAVs)

  An open-source navigation system for micro aerial vehicles

  A non-inertial acceleration suppressor for low cost inertial measurement unit attitude estimation

  Roberto G.

  Valenti

  MathWorks

  New York University

  City University of New York

  Baidu USA

  NVIDIA

  City University of New York

  Greater Boston Area

  Senior Robotics Research Scientist

  MathWorks

  PIC18F452 Microcontroller structure

  Assembly Language

  Microcontroller interface with I/O devices

  Adjunct Lecturer

  Greater New York City Area

  City University of New York

  Autonomous UAV

  Intern

  San Francisco Bay Area

  Baidu USA

  Design and implementation of Extended Kalman Filters for state estimation of autonomous vehicles.

  Intern

  Greater New York City Area

  New York University

  Modeling and controller design of a quadrotor helicopter robot

  Research Assistant

  Greater New York City Area

  City University of New York

  Micro Aerial Vehicle (MAV) navigation systems.\n-State estimation \n-Sensor fusion\n-Control\n-Orientation estimation from Low Cost (MEMS-based) IMUs

  Research Assistant

  Greater New York City Area

  City University of New York

  Greater New York City Area

  Autonomous Driving R&D Engineer

  NVIDIA