Abstract
We present insight into how contextual awareness can be derived from, and improve, a fusion algorithm combing a WSN and a passive RFID for autonomous mobile robot navigation. Contextual awareness of not where the robot is, but rather the context in which it exists in relation to the environment and human user serves to improve accuracy in navigation, alters the speed of the robot, and modifies its behavior. The WSN system, using a virtual potential field, provides fast general navigation in open areas and the RFID provides precision navigation near static obstacles and in narrow areas. We verified the effectiveness of our approaches through navigational and guidance experiments.
Highlights
As robots become more common in our everyday lives, the need for an awareness beyond what simple sensors can detect grows
The robot comes to a full stop in front of and inside the elevator, which is detected by radio frequency identification (RFID) tags
We presented contextual awareness as displayed in a wireless sensor network (WSN)/RFID fusion approach to indoor, mobile robot navigation
Summary
As robots become more common in our everyday lives, the need for an awareness beyond what simple sensors can detect grows. We present contextual awareness concepts as derived from a wireless sensor network (WSN) and radio frequency identification (RFID) fusion approach to indoor, mobile robot navigation. A WSN-based navigation system allows a robot to move at faster speeds than an RFID-only approach, albeit with reduced accuracy. RFID is a well known and utilized technology that can provide high levels of precision, but it requires the robot to move at a slower speed in order to ensure that all tags are read. We have developed a system capable of moving at relatively high speeds when precision is not a priority and slower speeds when the robot is moving in critical areas or higher accuracy is needed. Experiments were conducted with our fusion approach, as well as with an omnivision camera included, to show the method’s efficacy, and how the system can be further augmented
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
