Nabin K. Malakar, Ph.D.

NASA JPL
I am a computational physicist working on societal applications of machine-learning techniques.

Research Links

My research interests span multi-disciplinary fields involving Societal applications of Machine Learning, Decision-theoretic approach to automated Experimental Design, Bayesian statistical data analysis and signal processing.

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Interested about the picture? Autonomous experimental design allows us to answer the question of where to take the measurements. More about it is here...

Hobbies

I addition to the research, I also like to hike, bike, read and play with water color.

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Showing posts with label automate. Show all posts
Showing posts with label automate. Show all posts

Wednesday, September 26, 2012

Hack Kinect to automate map making

In the video Maurice Fallon, an MIT researcher, describe a wearable sensor system that automatically creates a digital map of the environment through which the wearer is moving.
Using LIDAR, MS Kinect, IMU (battery), the user gathers the data which is processed on the fly on a base (computer) and a 2D map is built in real time.
This could be very useful in disaster response zone.

--> Read more:
http://web.mit.edu/newsoffice/2012/automatic-building-mapping-0924.html

Thursday, March 1, 2012

Swarm of Helicopters playing James Bond and other neat tricks


In this post, I will be presenting two interesting videos. These two nice examples illustrate how one could automate the process by assigning the task to the individuals, and allow them to act as a swarm.

1. In the video shown, small fleet of flying robot quadrotors perform the James Bond Theme. Each of them are assigned tasks such as playing keyboard, drums and maracas etc.  These flying quadrotors are completely autonomous, meaning humans are not controlling them; rather they are controlled by a computer programed with instructions to play the instruments.

2. Second is an example of swarm of nano robots performing some neat tricks. Courtesy of GRASP Lab, University of Pennsylvania.


The TED talk: