Cognitive robotics using vision and mapping systems with Soar

Long, Lyle N.; Hanford, Scott D.; Janrathitikarn, Oranuj

doi:10.1117/12.853684

Cited by 3 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SuperDroid and a schematic of the hardware used on the SuperDroid for map generation[26] Jones et al[27] have used the Soar architecture to autonomously fly U.S. military fixed-wing aircraft during missions in a simulated environment for the TacAir-Soar project using Soar agents with 5200 production rules, 450 total operators, and 130 abstract operators. These agents were used as AI entities in simulated war games to help create large-scale battles without requiring a large number of people.…”

mentioning

confidence: 99%

Cognitive-model-driven pilot attention for commercial airline scenarios

Cover¹

View full text Add to dashboard Cite

Bringing airline pilots to remote locations for evaluation of new software/hardware tools and procedures is an expensive process in terms of both money and time. Estimating the design and outcome of a study to evaluate these new tools can be tricky as there are many new variables for which there is little to no data. However, sometimes even after careful vetting of scenarios in the simulator prior to bringing subject-matter experts into the simulation facility, few to no metrics of statistical significance can be found. While it may be valid that there are no metrics of statistical significance, it is perhaps a missed opportunity to take advantage of the precious time and resources of having a subject-matter expert at the research facility. The research presented in this paper has developed a software tool for simulating a pilot's visual perception of working in various configurations of cockpits. This may provide researchers insight into what types of scenarios and tactics would be of interest to use with real subject-matter experts. In other words, this should help identify the best use of resources to take advantage of having pilots at the facility and avoid scenarios/procedures that don't generate data of interest. Another useful possibility with this tool is identifying cockpits that may be inefficiently designed. Instruments that should be grouped together can be easily identified by analyzing the eye-scan pattern of the model with different cockpitconfiguration files. The results that this new software-evaluation tool provides have implications for several different evaluations beyond estimating pilot reactions. vi

show abstract

mentioning

confidence: 99%

Cognitive-model-driven pilot attention for commercial airline scenarios

Cover¹

View full text Add to dashboard Cite

show abstract

Problems of implementing the visual systems of robots for indeterminate media

Potapov

2010

J. Opt. Technol.

View full text Add to dashboard Cite

A Multi-Agent Control Architecture for a Rescue Robot

Haber

2021

AAAI

View full text Add to dashboard Cite

Cognitive architectures investigate the components and interactions neccessary for construction of an intelligent system. Despite much progress and theory, implementations of architectures are rare. This research presents a novel cognitive architecture grounded in the design of a control system for an autonomous rescue robot. Experiments are conducted in high-fidelity 3D simulation of a rescue environment based on NISTs RoboCup Rescue.

show abstract

Cognitive robotics using vision and mapping systems with Soar

Cited by 3 publications

References 19 publications

Cognitive-model-driven pilot attention for commercial airline scenarios

Cognitive-model-driven pilot attention for commercial airline scenarios

Problems of implementing the visual systems of robots for indeterminate media

A Multi-Agent Control Architecture for a Rescue Robot

Contact Info

Product

Resources

About