My goal is to develop novel navigation strategies for autonomous flying robots, pushing the boundaries of what can be done with light-weight sensors and intelligent mechanics.
I am currently working on the GimBall platform, a flying robot that can interact with the environment. I am studying how such robots can use simple techniques to better achieve tasks that are only tackled through heavy modeling in conventional approaches. I am investigating techniques for in-flight collision recovery and for navigation using interactions with obstacles, by taking inspiration from insects that navigate very reactively and bump into obstacles when they cannot see them.
In an attempt to reduce further sensing complexity for autonomous navigation, I am also studying techniques for flight control based on inertial and optic-flow sensors.
|2014-present||Head of Technology at Flyability.|
|2009-2013||PhD student at the LIS.|
|2007-2009||Master in Microengineering at EPFL - Robotics specialization.|
|sept 08 - jan 09||Master project at Harvard University, in the Microrobotics Laboratory|
|feb 08 - june 08||Semester project realized at the LIS that involved the programming and testing of a 80cm wingspan MAV, with which we also participated in a flying robot competition in Germany. We took the second place in the autonomy competition (watch the video report of the preparation and competition).|
|2004-2007||Bachelor in Microengineering at EPFL.|
|aug 06 - may 07||Exchange year at McGill University (Canada).|
The AirBurr project
The ROBOTS Podcast
InfoscienceLes donées en-ligne ne sont pas accessibles
A Collision Resilient Flying Robot, in Journal of Field Robotics, vol. 31, num. 4, p. 469-509, 2014.
An Active Uprighting Mechanism for Flying Robots, in IEEE Transactions on Robotics, vol. 28, num. 5, p. 1152 - 1157, 2012.
Method to determine a direction and amplitude of a current velocity estimate of a moving device, PCT/EP2013/07322, 2014.
A vertical take-off and landing aerial vehicle, EP13171364.6, 2013.
Optic-Flow Based Control of a 46g Quadrotor. Workshop on Vision-based Closed-Loop Control and Navigation of Micro Helicopters in GPS-denied Environments, IROS 2013, Tokyo, Japan, 2013..
Euler Spring Collision Protection for Flying Robots. International Conference on Intelligent Robots and Systems (IROS), Tokyo, Japan, 2013..
Contact-based navigation for an autonomous flying robot. International Conference on Intelligent Robots and Systems (IROS), Tokyo, Japan, 2013..
A Perching Mechanism for Flying Robots Using a Fibre-Based Adhesive. ICRA 13, Karlsruhe, 2013..
The AirBurr: A Flying Robot That Can Exploit Collisions. International Conference on Complex Medical Engineering (CME), 2012 ICME, Kobe, Japan, 2012..
Automatically calibrating the viewing direction of optic-flow sensors. Robotics and Automation (ICRA), 2012 IEEE International Conference on, St-Paul, Minnesota, USA, 2012..
An Indoor Flying Platform with Collision Robustness and Self-Recovery. 2010 IEEE International Conference on Robotics and Automation (ICRA 2010), Anchorage, Alaska, US, 2010..
Robust Autonomous Flight in Unstructured Environments. EPFL, Lausanne, 2014..
Review of Light-weight Payloads for MAVs and Experiments with Thermopiles, 2010.
Waypoint navigation with a MAV. , 2008..
Observation of Insect Collisions. , 2008..