Robohub.org
podcast
 

Curved Artificial Compound Eye with Ramon Pericet Camara and Michal Dobrzynski

Curvace         

by
31 May 2013



share this:

In this episode, we speak with Ramon Pericet and Michal Dobrzynski from EPFL about their Curved Artificial Compound Eye (CurvACE) published in the Proceedings of the National Academy of Sciences. Inspired by the fly’s vision system, their sensor can enable a large range of applications that require motion detection using a small plug-and-play device. As shown in the video below, you could use these sensors to control small robots navigating an environment, even in the dark, or equip a small autonomous flying robot with limited payload. Other applications include home automation, surveillance, medical instruments, prosthetic devices, and smart clothing.

The artificial compound eye features a panoramic, hemispherical field of view with a resolution identical to that of the fruitfly in less than 1 mm thickness. Additionally, it can extract images 3 times faster than a fruitfly, and includes neuromorphic photoreceptors that allow motion perception in a wide range of environments from a sunny day to moon light. To build the sensors, the researchers align an array of microlenses, an array of photodetectors, and a flexible PCB that mechanically supports and electrically connects the ensemble.

This work is part of the European Project Curvace which brings together a total of 15 people from four partners in France, Germany and Switzerland.

compound_eye

You can read our full coverage here.

Ramon Pericet Camara
Ramon Pericet Camara is the scientific coordinator for the CurvACE project and a postdoctoral researcher at the Laboratory of Intelligent Systems at EPFL. His research interests are oriented towards bio-inspired robotics, soft robotics, and soft-condensed matter physics.

Ramon received a Masters degree in Physics in 2000 from the University of Granada (Spain) and a PhD in Multidisciplinary Research from the University of Geneva (Switzerland) in 2006. Subsequently, he was granted a fellowship for prospective researchers from the Swiss National Science Foundation to join the Max Planck Institute for Polymer Research in Mainz (Germany).

Michal Dobrzynski
Michal Dobrzynski is a PhD student at the Laboratory of Intelligent Systems at EPFL. He obtained his master degree in Automatic Control and Robotics in 2006 from the Warsaw Technical University (Poland). He then joined the SGAR S.L. Company (Barcelona, Spain) as a Robot and PLC Software Engineer where his work focused on industrial robots and automatic lines programming and visualization. Next, in 2007, he joined a Numerical Method Laboratory at the University Politechnica of Bucharest (Romania) where he spent two years working in the FP6 “Early Stage Training 3″ project as a Researcher.

Links:



tags: , , , ,


Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.
Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.





Related posts :



Women in robotics you need to know about 2025

  06 Oct 2025
This global list celebrates women's impact across the robotics ecosystem and globe.

Robot Talk Episode 127 – Robots exploring other planets, with Frances Zhu

  03 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Frances Zhu from the Colorado School of Mines about intelligent robotic systems for space exploration.

Rethinking how robots move: Light and AI drive precise motion in soft robotic arm

  01 Oct 2025
Researchers at Rice University have developed a soft robotic arm capable of performing complex tasks.

RoboCup Logistics League: an interview with Alexander Ferrein, Till Hofmann and Wataru Uemura

and   25 Sep 2025
Find out more about the RoboCup league focused on production logistics and the planning.

Drones and Droids: a co-operative strategy game

  22 Sep 2025
Scottish Association for Marine Science is running a crowdfunding campaign for educational card game.

Call for AAAI educational AI videos

  22 Sep 2025
Submit your contributions by 30 November 2025.

Self-supervised learning for soccer ball detection and beyond: interview with winners of the RoboCup 2025 best paper award

  19 Sep 2025
Method for improving ball detection can also be applied in other fields, such as precision farming.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence