@conference {19633,
	title = {Configuration Reasoning and Ontology For Web},
	booktitle = {IEEE International Conference on Services Computing, 2007. SCC 2007},
	year = {2007},
	month = {2007/07//},
	pages = {387 - 394},
	abstract = {Configuration plays a central role in the deployment and management of Web infrastructures and applications. A configuration often consists of assigning "values" to a pre-defined set of parameters defined in one or more files. Although the task of assigning values to (configuration) parameters looks simple, configuring infrastructures and applications is a very complex process. In this paper we present a framework for defining and analyzing configuration of an Apache server. We define the notion of "configuration space" of an Apache server as a set of possible values that can be assigned to configuration parameters. We then define the notion of an "obstacle" and "forbidden region" in the configuration space that should be avoided. We model configuration space using a logical framework based on OWL (Web ontology language). The obstacles and forbidden regions in the configuration space are modeled as constraints in the logical framework. These obstacles and forbidden regions are essentially "anti-patterns" that a typical installation should avoid. Given an instance of a configuration (that is, a "point" in the configuration space) we then check if the instance is "obstacle free" using logical reasoning.},
	keywords = {Apache server, Application software, configuration management, configuration reasoning, configuration space, File servers, Information security, Internet, knowledge representation languages, logical framework, logical reasoning, ontologies, ontologies (artificial intelligence), Orbital robotics, OWL, path planning, Robot kinematics, Runtime environment, Taxonomy, Web infrastructures management, Web ontology language, Web server},
	author = {Dana Dachman-Soled and Sreedhar, V.C.}
}
@conference {12026,
	title = {A Sensory-Motor Language for Human Activity Understanding},
	booktitle = {2006 6th IEEE-RAS International Conference on Humanoid Robots},
	year = {2006},
	month = {2006/12/04/6},
	pages = {69 - 75},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {We have empirically discovered that the space of human actions has a linguistic framework. This is a sensory-motor space consisting of the evolution of the joint angles of the human body in movement. The space of human activity has its own phonemes, morphemes, and sentences. We present a human activity language (HAL) for symbolic non-arbitrary representation of visual and motor information. In phonology, we define atomic segments (kinetemes) that are used to compose human activity. We introduce the concept of a kinetological system and propose five basic properties for such a system: compactness, view-invariance, reproducibility, selectivity, and reconstructivity. In morphology, we extend sequential language learning to incorporate associative learning with our parallel learning approach. Parallel learning is effective in identifying the kinetemes and active joints in a particular action. In syntax, we suggest four lexical categories for our human activity language (noun, verb, adjective, and adverb). These categories are combined into sentences through syntax for human movement},
	keywords = {Actuators, associative learning, atomic segments, computational linguistics, Computer science, Computer vision, Educational institutions, grammars, human activity language, human activity understanding, human movement syntax, Humanoid robots, HUMANS, joint angles, kinetemes, kinetological system, Laboratories, learning (artificial intelligence), List key index terms here, Morphology, motor information, No mare than 5, parallel learning, Reproducibility of results, Robot kinematics, Robot programming, robot vision, sensory-motor language, sequential language learning, symbolic nonarbitrary representation, visual information},
	isbn = {1-4244-0200-X},
	doi = {10.1109/ICHR.2006.321365},
	author = {Guerra-Filho,G. and Aloimonos, J.}
}
@conference {14235,
	title = {New eyes for robotics},
	booktitle = {2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings},
	volume = {1},
	year = {2003},
	month = {2003/10/27/31},
	pages = {1018- 1023 vol.1 - 1018- 1023 vol.1},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {This paper describes an imaging system that has been designed to facilitate robotic tasks of motion. The system consists of a number of cameras in a network arranged so that they sample different parts of the visual sphere. This geometric configuration has provable advantages compared to small field of view cameras for the estimation of the system{\textquoteright}s own motion and consequently the estimation of shape models from the individual cameras. The reason is that inherent ambiguities of confusion between translation and rotation disappear. Pairs of cameras may also be arranged in multiple stereo configurations which provide additional advantages for segmentation. Algorithms for the calibration of the system and the 3D motion estimation are provided.},
	keywords = {3D motion estimation, Argus eye, array signal processing, Birds, Calibration, CAMERAS, Control systems, Eyes, geometric configuration, imaging, imaging system, Layout, Motion estimation, multiple stereo configurations, Robot kinematics, robot vision, Robot vision systems, ROBOTICS, Robotics and automation, SHAPE, shape models},
	isbn = {0-7803-7860-1},
	doi = {10.1109/IROS.2003.1250761},
	author = {Baker, P. and Ogale, A. S and Ferm{\"u}ller, Cornelia and Aloimonos, J.}
}
@conference {12033,
	title = {3D motion representations in visual servo control},
	booktitle = {Proceedings of International Symposium on Computer Vision, 1995},
	year = {1995},
	month = {1995/11/21/23},
	pages = {61 - 66},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {A new approach to visual servoing and vision-guided robotics is introduced. This approach uses visual information for autonomous behavior. It amounts to using robust, global spatiotemporal representations easily extracted from the dynamic imagery. Specifically, the geometrical patterns of normal flows are used as the input to the servo mechanism. It is shown that the positions of these patterns are related to the three dimensional motion parameters. By locating the positions of these patterns, we can solve a variety of navigational problems with little computational effort},
	keywords = {3D motion representations, autonomous behavior, CAMERAS, computational effort, Computer vision, dynamic imagery, global spatiotemporal representations, image representation, Mobile robots, motion control, Navigation, navigational problems, Optical computing, Robot kinematics, Robot sensing systems, robot vision, Robot vision systems, Robotics and automation, servomechanisms, Servosystems, Spatiotemporal phenomena, vision-guided robotics, visual information, visual servo control, visual servoing},
	isbn = {0-8186-7190-4},
	doi = {10.1109/ISCV.1995.476978},
	author = {Ferm{\"u}ller, Cornelia and LoongFah Cheong and Aloimonos, J.}
}
