Videos

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Brown Robotics Videos

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Bodies In Motion: Dynamic Motion Capture

Dynamic motion capture footage of humans is tracked using an accurate new physics-based prior.

Formats: (MP4) 68MB (FLV) 38MB

Projects: CS 148


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RPLAY - Game Based Learning

Project to create an online video game interface with which users can remotely control robotic dogs to play soccer. The purpose of the project is to gather learning data for the dogs, so they can eventually be taught to play the game on their own.

Formats: (MP4) 72MB (FLV) 30MB (YouTube)

Projects: CS 148


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A Smurv Story

A color-tracking romance triangle between 3 Roombas.

Formats: (MP4) 33MB (FLV) 15MB

Projects: CS 148


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Natural Human Robot Interaction

Several interaction modalities are combined to allow natural teaming with an iRobot packbot. Person following, gesture recognition, and speech recognition are used to create a platform which is robust to indoor and outdoor environments.

Formats: (MP4) 39MB (FLV) 23MB (YouTube)

Projects: CS 148


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Learning Robot Soccer from Demonstration

Robot learns soccer task (goal-seeking) from teleoperated demonstration.

Formats: (AVI) 22MB (FLV) 11MB

Projects: CS 148


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Sparse Control for Manipulation

Sparse control of the DLR robot hand using the 2D screen for user input.

Formats: (MP4) 5MB (FLV) 11MB

Projects: CS 148


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IMU Segwanaut

Teleoperated control of the NASA Segwanaut, a Robonaut on a Segway base, using an inertial motion capture system, described in our Humanoids 2004 paper.

Formats: (AVI) 20MB (FLV) 7MB

Projects: CS 148


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Roomba Soccer

Final match of CS148 Roomba/Create 2-on-2 robot soccer competition, Fall 2007.

Formats: (YouTube)

Projects: CS 148

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