Robohub.org
 

MiGriBot: a miniature robot able to perform pick-and-place operations of sub-millimeter objects


by
06 September 2022



share this:

Research team : Maxence LEVEZIEL, Wissem HAOUAS, Michaël GAUTHIER, Guillaume J. LAURENT, Redwan DAHMOUCHE.

By Redwan Dahmouche

Speed and precision are two major issues in robotics and in Industry of the Future (also known as Industry 4.0). Within this framework, RoMoCo research team of AS2M department at FEMTO-ST Institute has developed MiGriBot, a miniature robot able to perform 720 pick-and-place operations of sub-millimeter objects per minute. The results of this research work have been published in Science Robotics.

These performances are made possible thanks to its architecture, that allows it to grip and manipulate micro-objects barely visible to the naked eye (from 40 micrometers to several hundred micrometers). In fact, where other microrobots have a rigid end-effector, MiGriBot is based on a principle with an articulated end. This articulated end allows to drive a microgripper without any wire or embedded actuator. The second advantage of this robot is that all its degrees of mobility, including the ones from the microgripper on the articulated end, are operated from the base of the robot, making its mobile parts very lightweight. Finally, its robotic structure occupies a surface of only 20x20mm2. This level of compactness is achieved by using Silicon for the rigid elements, a polymer (Polydimethylsiloxane – PDMS) as flexible joints and piezoelectric actuators equipped with position sensors. MiGriBot is therefore lighter, more compact and faster than existing robotic micro-manipulators.

MiGriBot holding a cylindrical ruby with a diameter of 700µm and a thickness of 200µm.

While the fastest industrial pick-and-place robots do not exceed 250 cycles per minute, the combination of all the features of this robot: soft joints, small footprint, integrated gripping, lightweight structure and closed-loop control of the fast actuators allows MiGriBot to reach 720 pick-and-place operations per minute with about one micrometer accuracy. In the blink of an eye, MiGRiBot will have manipulated 5 micro-objects, which means that it will have approached, grabbed, moved and released an object 5 times successively.

This robot will be used to assemble Micro-Electro-Mechanical and Optical Systems (MEMS/MOEMS) used in the electronics industry, where the production throughput is increasingly high. Thanks to its speed and compactness, more than 2000 robots can be placed in 1m2 to perform more than one million operations per second. Increasing work rates will improve the productivity and competitiveness of manufacturers, which may encourage the relocation of production to Europe, America and countries with high labor costs. Applications in watch industry, medical instrumentation, aerospace, and other fields are also possible.

MiGriBot holding another parallel structure showing the capacity of the microrobot to manipulate heavy objects.

This work was funded by the ANR MiniSoRo project (ANR-19-CE10-0004) and by Grand Besançon Métropole.

Research team: Maxence LEVEZIEL, Wissem HAOUAS, Michaël GAUTHIER, Guillaume J. LAURENT, Redwan DAHMOUCHE (associate professor at université de Franche-Comté, project leader and head of the research team: redwan.dahmouche@univ-fcomte.fr).



tags: ,


FEMTO-ST Institute is composed by the Université de Franche-Comté (UFC), the Ecole Nationale Supérieure de Mécanique et Microtechniques (ENSMM) and the Université de Technologie Belfort-Montbéliard (UTBM) and Centre National de la Recherche Scientifique (CNRS).
FEMTO-ST Institute is composed by the Université de Franche-Comté (UFC), the Ecole Nationale Supérieure de Mécanique et Microtechniques (ENSMM) and the Université de Technologie Belfort-Montbéliard (UTBM) and Centre National de la Recherche Scientifique (CNRS).


Subscribe to Robohub newsletter on substack



Related posts :

Robot Talk Episode 151 – Robots to study the ocean, with Simona Aracri

  10 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Simona Aracri from National Research Council of Italy about innovative robot designs for oceanography and environmental monitoring.

Generative AI improves a wireless vision system that sees through obstructions

  08 Apr 2026
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  07 Apr 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

Back to school: robots learn from factory workers

  02 Apr 2026
A Czech startup is making factory automation easier by letting workers teach robots new tasks through simple demonstrations instead of complex coding.

Resource-sharing boosts robotic resilience

  31 Mar 2026
When a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems.

Robot Talk Episode 150 – House building robots, with Vikas Enti

  27 Mar 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Vikas Enti from Reframe Systems about using robotics and automation to build climate-resilient, high-performance homes.

A history of RoboCup with Manuela Veloso

and   24 Mar 2026
Find out how RoboCup got started and how the competition has evolved, from one of the co-founders.

Robot Talk Episode 149 – Robot safety and security, with Krystal Mattich

  20 Mar 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Krystal Mattich from Brain Corp about trustworthy autonomous robots in public spaces.



Robohub is supported by:


Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence