scholarly journals Service robotics: an emergent technology field at the interface between industry and services

2012 ◽  
Vol 9 (3-4) ◽  
pp. 219-229 ◽  
Author(s):  
Ingrid Ott
Keyword(s):  
Service Robotics

Model-driven engineering and run-time model-usage in service robotics

2012 ◽  
Vol 47 (3) ◽  
pp. 73-82 ◽  
Author(s):  
Andreas Steck ◽  
Alex Lotz ◽  
Christian Schlegel
Keyword(s):  
Model Driven Engineering ◽  
Service Robotics ◽  
Time Model ◽  
Model Driven ◽  
Run Time

scholarly journals Editorial: Special Issue on Field and Service Robotics

2000 ◽  
Vol 19 (11) ◽  
pp. 971-971
Author(s):  
John Bares ◽  
Howie Choset ◽  
Alex Zelinsky
Keyword(s):  
Special Issue ◽  
Service Robotics ◽  
Editorial Special Issue

scholarly journals A Cost-Effective Person-Following System for Assistive Unmanned Vehicles with Deep Learning at the Edge

Machines ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 49
Author(s):  
Anna Boschi ◽  
Francesco Salvetti ◽  
Vittorio Mazzia ◽  
Marcello Chiaberge
Keyword(s):  
Deep Learning ◽  
Cost Effective ◽  
Vital Statistics ◽  
Unmanned Vehicles ◽  
Optimization Techniques ◽  
World Population ◽  
Service Robotics ◽  
Power Efficient ◽  
Person Following ◽  
The World

The vital statistics of the last century highlight a sharp increment of the average age of the world population with a consequent growth of the number of older people. Service robotics applications have the potentiality to provide systems and tools to support the autonomous and self-sufficient older adults in their houses in everyday life, thereby avoiding the task of monitoring them with third parties. In this context, we propose a cost-effective modular solution to detect and follow a person in an indoor, domestic environment. We exploited the latest advancements in deep learning optimization techniques, and we compared different neural network accelerators to provide a robust and flexible person-following system at the edge. Our proposed cost-effective and power-efficient solution is fully-integrable with pre-existing navigation stacks and creates the foundations for the development of fully-autonomous and self-contained service robotics applications.

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