Virtual reality and telepresence control of robots used in hazardous environments

Technical Report · Wed Oct 01 00:00:00 EDT 1997

DOI:https://doi.org/10.2172/534498· OSTI ID:534498

Elling, J W; Hruska, S I

This is the final report of a two-year, Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). A method was developed to incorporate learning and adaptive capabilities into traditional rule-based descriptions of environments. The learning and adapting capacity is critical to robot programming in highly unstructured and variable environments such as the operation of robots in gloveboxes. The technology is based on a hybrid expert system technology, called expert networks, and was developed with the associated knowledge capture techniques.

• Research Organization: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE Assistant Secretary for Human Resources and Administration, Washington, DC (United States)
• DOE Contract Number: W-7405-ENG-36
• OSTI ID: 534498
• Report Number(s): LA-UR-97-3373; ON: DE98000084; TRN: 97:005392
• Resource Relation: Other Information: PBD: [1997]
• Country of Publication: United States
• Language: English

Related Subjects

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
ROBOTS
CONTROL SYSTEMS
EXPERT SYSTEMS
LEARNING