Robohub.org
 

Illah Nourbakhsh on “What would you research if you did not have to worry about grants?”


by
17 June 2013



share this:

Community empowerment through massive robotic sensing.

There is no question we live in a world that is changing. Pollutants are changing the dynamics of the air we breathe, the water we drink and even the soil on which we live. Yet the power to measure pollution, measure human behavior (including Emergency Room visits) and correlate the values is held tightly by government and corporate players.  They have the money to focus on sensors and values that make their case, and they have the marketing skills to then present those values in the best possible light for reelection and for corporate profit.

But in fact those most touched by a changing world are ordinary citizens, and it is the citizen who has the potential to make decisions that immediately impact health and future legislation, from what neighborhood to live in to which politician to elect. Robotic sensing technologies are rapidly becoming less expensive, and with the right infusion of research I believe we could develop the networking, data visualization and interaction smarts to have global, publicly accessible information about all sources of pollution. This would empower citizens and communities to make far more informed decisions, and to fight biased information presentations with their own re-interpretation of source data. This will take new innovation in sensing technologies, networking, Big Data storage, search, retrieval and evaluation.

It is the stuff of robotics, through and through, applied to the deep goal of community empowerment at an international scale.

Read more answers →



tags: , ,


Illah Nourbakhsh is a panel member for Robohub's Robotics by Invitation series.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Developing active and flexible microrobots

  13 May 2026
This class of robots opens up possibilities for biomedical applications.

How to teach the same skill to different robots

  11 May 2026
A new framework to teach a skill to robots with different mechanical designs, allowing them to carry out the same task without rewriting code for each.

Robot Talk Episode 155 – Making aerial robots smarter, with Melissa Greeff

  08 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Melissa Greeff from Queen's University about autonomous navigation and learning for drones.

New understanding of insect flight points way to stable flapping-wing robots

  07 May 2026
The way bugs and birds flap their wings may look effortless, but the dynamics that keep them aloft are dizzyingly complex and difficult to quantify.

Robotically assembled building blocks could make construction more efficient and sustainable

  05 May 2026
Research suggests constructing a simple building from interlocking subunits should be mechanically feasible and have a much smaller carbon footprint.

Robot Talk Episode 154 – Visual navigation in insects and robots, with Andrew Philippides

  01 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Andrew Philippides from the University of Sussex about what we can learn from ants and bees to improve robot navigation.

Ultralightweight sonar plus AI lets tiny drones navigate like bats

  29 Apr 2026
Researchers develop ultrasound-based perception system inspired by bat echolocation.

Gradient-based planning for world models at longer horizons

  28 Apr 2026
What were the problems that motivated this project and what was the approach to address them?



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence