Use of Machine learning Techniques to enable robots

Use of Machine
learning Techniques
to enable robots to
perform in
unstructured
environments

RESEARCH PROPOSAL 1
Proposed Title
Use of Machine learning Techniques to enable robots to perform in
unstructured environments
AbstractMachine learning is a field of AI technology that helps to implement automated
control systems used for performing tasks automatically. In industrial robots,
machine learning techniques are utilized due to their capability to provide
automated networks and perform robots in an unstructured environment. In this
era, many companies are adopting machine learning techniques for solving
complex situations and robots are based on machine learning programs where
computing systems effectively manage business activities and operations. This
paper focuses on machine learning techniques and robots and highlights the
significance of machine learning in the case of robots. The included literature
survey helped to evaluate the findings of recent papers and helped to manage
research gaps. It is found that machine learning techniques are capable to
implement effective robots that can be used to perform complex and unstructured
operations effectively. Future research will help to examine the advantages and
challenges of integrating machine learning in robots.
Keywords: machine learning techniques, robots, computing systems, and
unstructured environment

RESEARCH PROPOSAL 2
Outline of the proposed research
Machine learning refers to a method of data analysis that is used to develop
automated analytical models for performing business operations
automatically. It is a part of AI technology that is based on the principle that
computing systems can learn from data and examine effective patterns by
which appropriate decisions can be developed based on human intervention
[1]. Machine learning plays a crucial character in robots where it helps to
interconnect computing devices with human things and implement effective
automated systems used for performing operations. The goal of this
proposal is to evaluate the significance of machine learning techniques in
the development of human robots. From recent studies, it is highlighted
machine learning techniques help robots with dynamic communication and
obstacle avoidance for managing performance and productivity. It is
beneficial for implementing effective robots and completing complex tasks
easily through human-based robots [2]. This research will help to enhance
skills in the case of machine learning and their applications in robots.
Different kinds of sections will be included in this proposal such as
background, purpose, rationale, research question, research methodology,
and contribution.
Background
Machine learning is a growing technology that provides a way to perform
automated systems for completing complex tasks easily. In this modern era,
robots are completely based on machine learning techniques where
automated systems are implemented through machine learning programs
[3]. By using effective machine learning techniques robots can perform
difficult tasks in an appropriate manner and handle multiple tasks at a time.
Machine learning techniques enhance the abilities of industrial robotic
systems and enable robots to perform in the unstructured environment [10].