https://test.kevingodby.org/project/ Recent content in Projects on Kevin M. Godby Hugo -- gohugo.io en-us Copyright © 2018 Kevin M. Godby Tue, 04 Sep 2018 00:00:00 -0500 https://test.kevingodby.org/project/narcissus/abstract/ Tue, 04 Sep 2018 00:00:00 -0500 https://test.kevingodby.org/project/narcissus/abstract/ This abstract was accepted to the 2006 AAAI Conference that was held in Boston. It was presented as a poster presentation. If you would like to cite this article, see below. Introduction As robots become more sophisticated and pervasive, they will be forced to operate in more dynamic and social environments. In order to develop a theory of mind to account for the intents, beliefs, and motivations of other individuals, a robot needs to be able to distinguish between another entity and itself. https://test.kevingodby.org/project/icarus/report/ Tue, 04 Sep 2018 00:00:00 -0500 https://test.kevingodby.org/project/icarus/report/ Introduction Since the beginning of time humans have watched birds soar through the air and have dreamed of doing the same. However, the laws of physics have conspired to make that dream difficult, if not impossible, for a single human under his or her own power. Fortunately, we are not constrained by physical law in virtual worlds so we can come close to fulfilling this dream for many. Our primary objective for this project is to allow a person to navigate a virtual world as if they are flying by flapping their arms like wings. https://test.kevingodby.org/project/icarus/ Mon, 03 Sep 2018 00:00:00 -0500 https://test.kevingodby.org/project/icarus/ Since the beginning of time humans have watched birds soar through the air and have dreamed of doing the same. However, the laws of physics have conspired to make that dream difficult, if not impossible, for a single human under his or her own power. Fortunately, we are not constrained by physical law in virtual worlds so we can come close to fulfilling this dream for many. Our primary objective for this project is to allow a person to navigate a virtual world as if they are flying by flapping their arms like wings. https://test.kevingodby.org/project/narcissus/ Mon, 03 Sep 2018 00:00:00 -0500 https://test.kevingodby.org/project/narcissus/ In Greek mythology Narcissus was a youth who became infatuated with his own reflection after gazing into a pool of water. Unlike Narcissus, humans can recognize themselves when confronted with their own reflection. However, like Narcissus, many animals and most of today’s robots cannot accomplish this simple feat of self recognition. We present here preliminary work in developing a system that we hope will eventually be able to distinguish between itself and others using vision and motion. https://test.kevingodby.org/project/example-external-project/ Wed, 27 Apr 2016 00:00:00 -0500 https://test.kevingodby.org/project/example-external-project/ https://test.kevingodby.org/project/narcissus/results/ Mon, 01 Jan 0001 00:00:00 +0000 https://test.kevingodby.org/project/narcissus/results/ Results and Data Description of Data Format Each of the raw data files below contains a number of different record types. One record per line. The fields of each record are separated by tabs. Ignore lines that don’t begin with one of the record type identifiers: ENTITY, ACTION, PERCEPT, TIME. The ENTITY record has the following fields: Global timestamp (double) Entity ID number (integer) Number of correlated actions (integer) Total number of actions (integer) Number of correlated perceptions (integer) Total number of perceptions (integer) Threshold of indicies to consider ENTITY self (double) Sufficiency index (double) Necessity index (double) The ACTION record has the following fields: https://test.kevingodby.org/project/narcissus/videos/ Mon, 01 Jan 0001 00:00:00 +0000 https://test.kevingodby.org/project/narcissus/videos/ Videos Click on the thumbnails below to download the videos. Each of the videos is between 30 and 40 MB in size. The upper left image shows the raw video input with the sufficiency index (SI) and necessity index (NI) of each object overlaid on top of the image. The upper right image shows the color segmentation. The lower left image shows the motion segmentation. And finally, the lower right image is the camera view after we’ve applied the blur filter (to remove many of the noise artifacts).