IEEE Robotics & Automation Magazine - September 2023 - 153

tasks and GPU resource allocation for
computation-intensive tasks.
With all components listed, mobile
service robots can run in an end-to-end
way, from task dispatching to execution.
POSSIBLE STANDARD 2:
INTELLIGENT CLASSIFICATION
OF HOME SERVICE ROBOTS
The intelligence of service robots is
reflected in the following technologies:
■ Perception and positioning: Service
robots need to have environmental
awareness capabilities to navigate
autonomously in service scenarios.
This includes using sensors, such as
cameras and lidar, to detect obstacles,
recognize faces and expressions, and
determine one's own position.
■ Speech recognition and natural language
processing: Service robots need
to be able to understand human voice
commands and perform natural language
processing. This involves tasks
such as analyzing speech signals,
identifying intentions, and answering
questions.
■ Computer vision: Computer vision
technology can help service robots
recognize objects, faces, and expressions,
thereby better understanding
human needs and emotions.
■ Machine learning and artificial intelligence:
Machine learning and artificial
intelligence technology can
enable service robots to learn through
a large amount of data and gradually
improve their intelligence levels. This
includes methods such as pattern recognition,
decision trees, and reinforcement
learning.
■ Control system: Service robots need
to have a certain control system to
achieve precise control of various actuators,
such as motion control, force
control, etc.
■ Network communication: Service
robots typically need to communicate
with other devices and services,
such as smartphones, the Internet,
etc. Therefore, network communication
technology is crucial for achieving
a smart home ecosystem.
■ Software and hardware integration:
Integrating these technologies together
forms a complete system. This
involves software development, hardware
design, system integration, and
other aspects of work.
By integrating these technologies, service
robots can achieve intelligent functions
and provide users with a more convenient
and efficient service experience.
If you are interested in participating
in the study group described previously,
please contact Yasen Cai at caiys16@
midea.com. If you are interested in
learning about the other standards
activities in the RAS, please contact
Craig Schlenoff, RAS standards chair,
at craig.schlenoff@nist.gov.
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SEPTEMBER 2023 IEEE ROBOTICS & AUTOMATION MAGAZINE
153
IEEE Robotics & Automation Magazine - September 2023

Table of Contents for the Digital Edition of IEEE Robotics & Automation Magazine - September 2023
