This paper investigates the application of human motion guidance principles to the development of an autonomous guidance process. Primarily, it extends previous work, which identifies the organization of human guidance performance given by trajectory data. First, the paper describes interaction patterns (IP), subgoals, and partitions and defines these elements in terms of control theoretical concepts. Second, IPs are applied to form a computational solution to a constrained optimal control problem and simulation results demonstrate that this approach produces feasible solutions. Finally, first-person human experimental results are provided to validate theoretical concepts.
|Original language||English (US)|
|Title of host publication||54rd IEEE Conference on Decision and Control,CDC 2015|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||8|
|State||Published - Feb 8 2015|
|Event||54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan|
Duration: Dec 15 2015 → Dec 18 2015
|Name||Proceedings of the IEEE Conference on Decision and Control|
|Volume||54rd IEEE Conference on Decision and Control,CDC 2015|
|Other||54th IEEE Conference on Decision and Control, CDC 2015|
|Period||12/15/15 → 12/18/15|
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© 2015 IEEE.