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Mario Coppola

 

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Mario Coppola

Position: Intern  Unit: Alumni Bülthoff

Development of an optimized emergency escape maneuver for UAV quad-copters in presence of (human) obstacles

 

This research involves the development of a method to establish the severity of potential collisions with human obstacles during flight, and establish whether an emergency escape maneuver is necessary (resulting, in case, in a temporary take-over of commands). Once the emergency maneuver is initiated, an optimized reactive collision avoidance scheme is followed until the collision is fully avoided. The reactive controller is developed a-priori using an off-line approximate reinforcement learning method based on a pre-defined reward function tailored to a human geometry and sensitive areas. The implemented algorithm aims to be versatile and adaptable to different UAV dynamics via a set of configurable parameters, taking into account initial dynamic delays and maximum accelerations on each axis. These parameters can be retrieved and configured during flight with the help of a set of calibration maneuvers. Thanks to the estimation of the severity of the collision situation and the use of a reactive avoidance scheme, the algoirthm has been shown to work for multiple obstacles as well as moving obstacles.

Last edited on May 28th, 2015

 

Current position

Feb 2015 - current

Research Intern at Max Planck Institute for Biological Cybernetics.

Autonomous Robotics and Human-Machine Systems group

 

Work Experience

Jul 2014 - Feb   2015

R&D Scientist I at Honeywell Aerospace in Brno, Czech Republic

Performed an internship within the Advanced Technology department.

Project 1: Integration of Model Based Engineering within standard development practices for cockpit display systems.

Project 2: Development of multi-modal interaction software for cockpit displays.

Aug 2013 - Jun 2014

Teaching Assistant at Delft University of Technology

General responsibilities: student support, development of assignments/exams, and grading. Assisted the following courses: Simulation, Veri cation and Validation (AE3212-II), ComputationalModelling (AE2220-II), Exploring Aerospace Engineering (AE1111-I).

 

Education

2013 - Current

M.Sc. in Aerospace Engineering at Delft University of Technology

Honours track student, specializing in Control & Simulation

Fall Semester 2012 Minor in Robotics at Nanyang Technological University, Singapore
2010 - 2013

B.Sc. in Aerospace Engineering at Delft University of Technology

Bachelor Thesis: Design of a controllable system for the guided atmosphere-assisted deceleration of a human-rated precursor vehicle to Mars. Performed within a team at TU Delft under guidance from NASA Langley. Accepted for the 12th International Planetary Probe Workshop in Cologne, Germany, 2015.

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Last updated: Monday, 22.05.2017