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Dr. Paul M. Torrens, Center for Urban Science + Progress, New York University

Motion controllers for robotic agents

Project overview | Demonstrations | Eye candy | Related groups
Project overview

I have been working with students in the Geosimulation Research Laboratory to develop an extension of our agent AI platform that will control robotic agents with the same efficiencies that it offers in driving software agents in our simulations. We have recently picked-up an interest in the sensor systems for Lego Mindstorms NXT, and we developed an extension of our Kinect-based control system that will allow direct manipulation of robot motion via gesturing.

Cheng Fu, a Research Assistant in the Lab, has been pioneering the implementation of this work, and he has compiled a video demonstration with his colleague Kotaro Hara from Computer Science, as part of their coursework in the Human Computer Interaction Lab.

Gesture control of robots (you will need the Adobe Flash Player plug-in for your browser to view this movie)
Eye candy
(Print-quality versions of these graphics are available upon request)

GIS control of robots via Kinect

Our lego-based robot, with NXT CPU core and a variety of tactile, IR, RGB, and ultrasonic sensors.


GIS control of robots via Kinect

Paired actuators syncronize and effect the robot's motion.


GIS control of robots via Kinect

The NXT CPU core can communicate wirelessly with our Kinect control system, via Bluetooth.

Related groups

UMD Human Computer Interaction Lab


GIS movement tracks

Big data movement analytics


climate indicators spatial analysis

Land indicators of climate

geosimulation high performance computing

High-performance computing and networking for geosimulation

earthquake model agent based GIS

Earthquake models

CA ice sheet model

Ice-sheet modeling

kinect control of GIS and robots
Robot motion control

simulating disasters ABM GIS
Human behavior in critical scenarios

crowd model riot model simulation wired

Modeling riots

physics engine GIS

Dynamic physics for built infrastructure

moving agents through space and time

Moving agents through space and time

validating agent based models

Validating agent-based models

machine learning GIS

Machine-learning behavioral geography

high performance computing urban simulation emergence

Accelerating agent-based models

megacity models

Megacity futures

immersive modeling

Immersive modeling

space-time GIS

Space-time GIS and analysis

measuring sprawl

A toolkit for measuring sprawl

space-time GIS

Modeling time, space, and behavior

simulating crowd behavior

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wi-fi geography

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Simulating sprawl

Simulating sprawl