Abstract
Warehouse robots rely on navigation algorithm to maneuver in the warehouse. One of the available navigation algorithm includes the use of vision technology. Yet, the technology requires depth cameras to act as “eyes” of the robot. It is known that cameras depend on lighting factor to operate. A sole example includes failure of vision-powered warehouse robots in extreme lighting conditions. Thus, this paper discusses the approach to enable warehouse robot in in-tense lighting conditions with implementation of two vision technology. In this paper, two depth cameras that function on different technology were used. The cameras chosen are stereoscopic camera and infrared based time-of-flight camera. This paper first studies the lighting factor that affects the performance of both cameras. Next, both camera were simulated in extreme lighting condition. The results obtained are further analyzed and constructed into a selective algorithm. This exploratory study is an important fundamental contribution to complete robot functioning warehouse in future.
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