Robohub.org
 

Robotic zebrafish influences real fish


by
14 June 2012



share this:
robotic zebrafish in tank

Researchers at the Polytechnic Institute of New York University in the U.S. and the Instituto Superiore di Sanitá in Italy have created a robotic zebrafish that can mix with real zebrafish and influence their behavior. The robot visually resembles an actual zebrafish. It is roughly 15 centimetres long and spray-painted with the zebrafish’ characteristic blue stripe pattern. To influence fish behavior, the researchers controlled the robot’s tail motion to mimic that of real fish. This new research builds on past projects for mixed robot-animal societies which has tackled chickens and cockroaches. Such mixed societies add a powerful new experimental option to the toolbox of behavioral biologists to understand social interactions between animals, which are usually very difficult to understand by observation alone.




John Payne





Related posts :



Learning robust controllers that work across many partially observable environments

  27 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.

Human-robot interaction design retreat

  25 Nov 2025
Find out more about an event exploring design for human-robot interaction.

Robot Talk Episode 134 – Robotics as a hobby, with Kevin McAleer

  21 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Kevin McAleer from kevsrobots about how to get started building robots at home.

ACM SIGAI Autonomous Agents Award 2026 open for nominations

  19 Nov 2025
Nominations are solicited for the 2026 ACM SIGAI Autonomous Agents Research Award.

Robot Talk Episode 133 – Creating sociable robot collaborators, with Heather Knight

  14 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Heather Knight from Oregon State University about applying methods from the performing arts to robotics.

CoRL2025 – RobustDexGrasp: dexterous robot hand grasping of nearly any object

  11 Nov 2025
A new reinforcement learning framework enables dexterous robot hands to grasp diverse objects with human-like robustness and adaptability—using only a single camera.



 

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