Mobile Robot Communication Without the Drawbacks of Wireless Networking

Author(s):  
Andreas Birk ◽  
Cosmin Condea
2018 ◽  
Vol 7 (3) ◽  
pp. 1-23 ◽  
Author(s):  
Yuhang Che ◽  
Heather Culbertson ◽  
Chih-Wei Tang ◽  
Sudipto Aich ◽  
Allison M. Okamura

2021 ◽  
Vol 12 (1) ◽  
pp. 336-355
Author(s):  
Trenton Schulz ◽  
Rebekka Soma ◽  
Patrick Holthaus

Abstract Recovery procedures are targeted at correcting issues encountered by robots. What are people’s opinions of a robot during these recovery procedures? During an experiment that examined how a mobile robot moved, the robot would unexpectedly pause or rotate itself to recover from a navigation problem. The serendipity of the recovery procedure and people’s understanding of it became a case study to examine how future study designs could consider breakdowns better and look at suggestions for better robot behaviors in such situations. We present the original experiment with the recovery procedure. We then examine the responses from the participants in this experiment qualitatively to see how they interpreted the breakdown situation when it occurred. Responses could be grouped into themes of sentience, competence, and the robot’s forms. The themes indicate that the robot’s movement communicated different information to different participants. This leads us to introduce the concept of movement acts to help examine the explicit and implicit parts of communication in movement. Given that we developed the concept looking at an unexpected breakdown, we suggest that researchers should plan for the possibility of breakdowns in experiments and examine and report people’s experience around a robot breakdown to further explore unintended robot communication.


1996 ◽  
Vol 8 (6) ◽  
pp. 538-554 ◽  
Author(s):  
Takayuki Tanaka ◽  
◽  
Junji Ohwi ◽  
Ludmila V. Litvintseva ◽  
Kazuo Yamafuji ◽  
...  

The arrangement principles and design methodology on soft computing for complex control framework of AI control system are introduced. The basis of this methodology is computer simulation of dynamics for mechanical robotic system with the help of qualitative physics and search for possible solutions by genetic algorithms (GA). On fuzzy neural network (FNN) optimal solutions for navigation with avoidance of obstacles and technological operations as opening of door with a manipulator are obtained and knowledge base (KB) for fuzzy controller is formed. Fuzzy qualitative simulation, GA and hierarchical node map (HN), and FNN have demonstrated their effectiveness for path planning of a mobile robot for service use. New approach for direct human-robot communication with natural language and cognitive graphics is introduced. The results of fuzzy robot control simulation, monitoring, and experimental investigations are presented.


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