عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
TLpq2408507206
انگلیسی
Comparison of Team Robot Localization by Input Difference for Deep Neural Network Model
[Thesis]
Kang, Sehyeok
Pavlic, Theodore P.
Arizona State University
2020
76
M.S.
Arizona State University
2020
In a multi-robot system, locating a team robot is an important issue. If robots can refer to the location of team robots based on information through passive action recognition without explicit communication, various advantages (e.g. improving security for military purposes) can be obtained. Specifically, when team robots follow the same motion rule based on information about adjacent robots, associations can be found between robot actions. If the association can be analyzed, this can be a clue to the remote robot. Using these clues, it is possible to infer remote robots which are outside of the sensor range.
Artificial intelligence
Computer engineering
Long Short-Term Memory
Multi-robot system
Raspberry pis
Robotics
Kang, Sehyeok
Pavlic, Theodore P.
مطالعه متن کتاب p
[Thesis]
276903
a
Y
