Knowledge engineering for real time intelligent control

The key to real-time intelligent control lies in the knowledge models that the system contains. We argue that there needs to be a more rigorous approach to engineering the knowledge within intelligent controllers. Three main classes of knowledge are identified: parametric, geometric/iconic, and symbolic. Each of these classes provides unique perspectives and advantages for the planning of behavior by the intelligent system. Examples of each from demonstration systems are presented.

[1]  Clifford A. Shaffer,et al.  Real-time algorithms and data structures for underwater mapping , 1990, IEEE Trans. Syst. Man Cybern..

[2]  Hans P. Moravec,et al.  High resolution maps from wide angle sonar , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[3]  Yoram Koren,et al.  Real-time obstacle avoidance for fast mobile robots in cluttered environments , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[4]  Gamini Dissanayake,et al.  Issues in autonomous navigation of underground vehicles , 1999 .

[5]  B. Achiriloaie,et al.  VI REFERENCES , 1961 .

[6]  David Kortenkamp,et al.  Integrating active perception with an autonomous robot architecture , 1998, AGENTS '98.

[7]  Yoram Koren,et al.  Real-time obstacle avoidance for fact mobile robots , 1989, IEEE Trans. Syst. Man Cybern..

[8]  John Horst,et al.  A lexical analogy to feature matching and pose estimation , 2002 .

[9]  Elena R. Messina,et al.  A knowledge-based inspection workstation , 1999, Proceedings 1999 International Conference on Information Intelligence and Systems (Cat. No.PR00446).

[10]  David W. Etherington.  What Does Knowledge Representation Have to Say to Artificial Intelligence? , 1997, AAAI/IAAI.

[11]  Mongi A. Abidi,et al.  Stereo-based registration of ladar and color imagery , 1998, Other Conferences.

[12]  John M. Evans,et al.  HelpMate®, the trackless robotic courier: A perspective on the development of a commercial autonomous mobile robot , 1998 .

[13]  Ramanathan V. Guha,et al.  Cyc: toward programs with common sense , 1990, CACM.

[14]  C. W. Brown,et al.  Using STEP to integrate design features with manufacturing features , 1995 .

[15]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[16]  David W. Aha,et al.  SiN: Integrating Case-based Reasoning with Task Decomposition , 2001, IJCAI.

[17]  Ronald C. Arkin,et al.  Navigational path planning for a vision-based mobile robot , 1989, Robotica.

[18]  Jiang Cuiyun,et al.  A knowledge-based approach for object classification for robotic assembly , 1997, 1997 IEEE International Conference on Intelligent Processing Systems (Cat. No.97TH8335).

[19]  Clark F. Olson,et al.  Enhanced Mars rover navigation techniques , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[20]  Ernst D. Dickmanns,et al.  A general dynamic vision architecture for UGV and UAV , 1992, Applied Intelligence.

[21]  Peter Szolovits,et al.  What Is a Knowledge Representation? , 1993, AI Mag..

[22]  Martial Hebert,et al.  Vision and navigation for the Carnegie-Mellon Navlab , 1988 .

[23]  Karl Johan Åström,et al.  Adaptive Control , 1989, Embedded Digital Control with Microcontrollers.

[24]  James S. Albus,et al.  4-D/RCS: a reference model architecture for Demo III , 1997, Proceedings of the 1998 IEEE International Symposium on Intelligent Control (ISIC) held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA) Intell.

[25]  Allen Newell,et al.  GPS, a program that simulates human thought , 1995 .

[26]  James L. Crowley,et al.  Navigation for an intelligent mobile robot , 1985, IEEE J. Robotics Autom..

[27]  Dean A. Pomerleau,et al.  Vision-Based Neural Network Road and Intersection Detection , 1997 .

[28]  Michael F. Ziih.  Model-Aided Stability Control on Machine Tools , 2001 .

[29]  Randolph M. Jones,et al.  A symbolic solution to intelligent real-time control , 1993, Robotics Auton. Syst..

[30]  Benjamin Kuipers,et al.  The Spatial Semantic Hierarchy , 2000, Artif. Intell..

[31]  Anne H. Soukhanov,et al.  The american heritage dictionary of the english language , 1992 .

[32]  Rodney A. Brooks,et al.  Learning to Coordinate Behaviors , 1990, AAAI.

[33]  C. Schlenoff.  Linking Sensed Images to an Ontology of Obstacles to Aid in Autonomous Driving , 2002 .

[34]  Thomas R. Kramer,et al.  A feature-based inspection and machining system , 2001, Comput. Aided Des..

[35]  Michael R. Genesereth,et al.  Knowledge Interchange Format , 1991, KR.