Safety and Automation of Collaborative Robot System in Work Environment- Juniper Publishers
Juniper Publishers- Journal of Robotics
A few factors are important for determining the
effects of automation on the work environment, including the
technological design and applications, approaches used for their
presentation, and the automation goals of the organization’s management
team. The application of robotics and automation to industrial processes
provide optimization benefits relative to the work processes, however,
the potential also exist for new situations to develop that may
introduce system risks and human psychological risks to the employees.
The main goal is to plan, design and implement robotic and automation
programs that will be beneficial to the workforce, improving
productivity, safety and quality.
The application and implementation of modern
industrial automation and robotics systems may potentially pose a
challenge and perhaps unpromising combination of requirements. It is
logical to expect that control systems must generally interface with
sensor or actuator signals, which is germane to other modern
applications. For most modern industrial applications, such as
programmable automation (PA), advanced control features (ACF),
enterprise data integration (EDI), robotic cells interoperability (RCI)
and network connectivity, there has been increasing demand for their
use. The innovative edge in industrial robotics and automation involve
accessible and user-friendly collaborative robot (cobots) solutions[1],
that allow the human workforce and robots cells to share skills towards
achieving same goal. The human workforce performance adds to this
collaboration with the inherent cognitive skills and opportunities for
flexibility, while the robotic systems bring high powered speed,
accuracy, precision and repeatability. To efficiently
optimize this collaborative set-up, there are a few challenges that
should be addressed. All direct contacts between the workers and the
operational robotic cells must be prevented to assure safe interaction
and collaboration. Capitalizing on the benefits of human cognitive
skills, it is crucial to correctly plan and design all spontaneous
operator interfaces, with special considerations for safety critical
systems, making it easy and safe for the operators to program and
interact with the robotic cells.
Introduction
The global annual industrial robots supply is
predicted to increase at the rate of 13% and it was estimated that 2.6
million industrial robots will be operational by 2019 [2], with highest
demands in the automotive and electronic industries. Other small and
medium scale companies are beginning to also employ the collaborative
solutions of using both robots and human skills. Majority of the design
and development efforts for human-friendly, safe and adaptable
automation and robotic are from industrial manufacturing. To be at the
competitive advantage in today’s marketplace, the manufacturing industry
rely on automation and robotics to stay ahead. The concept of robots
can be traced as far back as to the beginning of civilization. Aristotle
conceptualized in 322 B.C., the emergence of an intelligent tool that
“when ordered or even of its own accord, could do the work that befits
it.” Fast forward to the 20 century, the 1960’s marked the emergence of
industrial robots on assembly lines of America’s automobile
manufacturing companies. Currently, there are several major advancements
and technological breakthroughs that have integrated control systems
and automation innovations, artificial intelligence (AI) methodologies
and microprocessors, to optimize the
functionality of robots, expanding to other fields such as
medicine, agriculture, transportation etc. These technological
advancements in the design of automated robots have not been
able to completely eradicate the potential for risks for cobot
and traditional robot (trabot), see Figure 1. A fault to a safety
critical system of a robot can pose fatal or serious injuries to
humans and may also result to the loss of capital investments
in the machines [3].
Safety Critical Systems
A Safety Critical System (SCS) is a system that can
potentially cause accidents directly or indirectly, once failed.
These failures can potentially causefatalities, environmental
damages and property/financial losses. The overall system
must be safe which depends on proper operations of the
robot and examples of SCS include; production industries
(manufacturing controls, interlocking systems, maintenance
and application of robotic cells), process industry (chemical
process control, energy and power generation etc.), medicine
(medical robotic cell controls, radiation therapy systems etc.).
Identification systems, programmable logic controllers (PLC),
industrial and power controls systems, sensor systems are
examples of automation technologies currently widely used.
The automation of SCS operationsinvolved embedded control
systems which applies to both the hardware and software
components including the devices, equipment, electrical
and mechanical components. Whenever these software and
hardware are employed for SCS control, there is a potential for
these components to pose imminent hazards to operators or
anyone in the zone of exposure of the systems. The automation
is dependent on the software capabilities and the proper
development and design of the software will produce efficient
operation with capabilities of anticipating, detecting and
eliminating potential hazards that may contribute to software
errors of the SCS, hence protecting people, property and the
environment.
The complexities, sophistication and requirements
for robotic systems are addressed for the automation and
robotics industry through the International Organization for
Standardization (ISO) for robots and robot systems integration.
ISO 10218-1:2006 - specifies the requirements and guidance
for the assurance of safety in design and construction of the
robot only (manipulator and controller) and not the overall
robot system. The standard was updated in 2011 as Part 2 -
or ISO 10218-2:2011, which includes the robot system/cell and
application. It also covers the integration and installation of
robot system or cell, which therefore means that it provides a
more comprehensive set of requirements for robot safety. ISO
TS 15066:2016 provides the technical specification of safety
requirements for collaborative industrial robot systems in
the work environment and it also provides supplementary
requirements and guidance on collaborative industrial robot
operations (does not apply to non-industrial robots) in the ISO
10218-1:2006 and ISO 10218-2:2011. ANSI/RIA R15.06-2012 is
an adaptation of the 10218-2:2011.
Industry 4.0Initiative and Intuitive User Interfaces
In today’s high-speed high accuracy economy,
manufacturing companies continue to drive for increased
efficiency, production speed, quality and workforce safety,
cobot can be significantly effective in protecting workers, at
same time, increasing outputs and decreasing the operational
costs and associated expenses. In manufacturing technologies,
the contemporary trend in automation and data exchange
which makes production system smarter is known as Industry
4.0 and it also involves the use of collaborative robotic
solutions [4]. Industry 4.0 presents transparency which is
crucial for efficient supply chain. The benefits of industry 4.0
are as follows;
a) Process efficiency: Automation, robotics
and digitalization reduce redundancy and
increase flexibility through optimization solutions.
b) Increased production and quality: The product
quantity and quality can be enhanced throughintegrated
automation, real-time monitoring and quick intervention
for the correction of system errors.
c) Cost reduction and energy savings: Industry 4.0
increases overall process efficiency which in turn, yields
direct energy and cost savings.
d) Less human intervention: With robots taking over
repetitive manual jobs, humans can be used for more
skillful tasks.
e) Competitive advantage: Industry 4.0is promising
to become indispensable and companies that adopt this
strategy stand to gain and become a leader in the industry.
f) Personalization: Products can be safely and quickly
made based on thecustomer’sneeds and current trends.
The application of cobot for industrial processes is
valuablesince the system can be trained through intuitive
systems, usingprogramming by demonstration [5], augmented
reality [6], walkthrough programming [7] etc. In contrast,
traditional non-cobots usually require experts to program
the robotic cell using the conventional programming
methodologies. There are challenges involved with the use
of robots for industrial processes, one of which is often
associated with operator interactions with the robot, since
it typically entails specialized knowledge. Equally, the
availability of intuitive procedures of interactions with
robots through proper programming is a significant enabler
for continuousimplementation of automation and robotic
technologies, which would also benefit small and medium
sized companies. Easymethods of interactions with industrial
robots in a timely fashion that also reducesoperator’s errors
and preserves situational awareness, are required.
Optimizing Safety with Smarter Robots
Safety is crucial for products and system designs
particularly at collaborative work areas, where robots operate
alongside humans. The safety and reliability of robotic systems
are integral to optimal solution developments for future
practical challenges in robotic design for human situations [8].
The developmentand evolution of automation processes and
robotics are crucial to the changing world. The first developed
industrial robots were huge, hydraulically powered machines.
The early robots lacked intelligence without the operator’s
assistance, though they functioned withsubstantial strength.
Industrial robots evolved into electrically powered standalone
units, with enhancedperformance and accuracy in the 1980’s.
The continuous improvements to microprocessors and
innovations to automated control technologies have positioned
robots as the center-piece tool for industrial revolution.
Human-Robot Collaboration (HrC)
The human-robots interaction is being transformed due
to the advent of innovative software and SCS functionality
[9]. Conventionally, people were protected from being hurt,
injured or killed from the action of a moving robot, by using
either of the hazard control methods that include elimination,
substitution, warnings, engineering control (safe guards and
barriers), administrative control (e.g. training) or protective
equipment. Whenever an operator interfaces with the robot
(for instance loading or unloading of materials), safety control
systems (such as., light screen, safety mat, other presence
sensing devices) would have to be in place guarantee that the
robot is in a safety position and state. Basically, the robot’s
motion is conditioned and eventually, the energy source is
removed, and the robot then stops completely. The effect of
which slows down production. Innovations in software-based
SCS have produced safe-speed core technology that allows for
the manipulation of the robot’s operational motion, so that
humans can share the workspace together. In the same work
area, robots could bring heavy slabs closer, while the skilled
operator marks them, though this process would have to take
place only if there are environmental sensors or presence
sensing sensors in the work zone. Never technologies now also
allow for Robot-to-Robot Synchronization(r2rS). This happens
when one robot is programmed to coordinate the actions of
multiple other robots. The combination of HrC and r2rS can
significantly reduce down time, increase productivity and
further enhances safety.
Conclusion and future directions of research
To address safety related issues for automation and
robotics, it is important to consider optimizing performance
relative to the limits of safety rather than classifying safety
as a criterion that limits performance, therefore the use of
performance-oriented solutions should be desired.
Furthermore, enhancing the effectiveness of HrC in actual
industrial situations is the primerfor adaptive solutions
for comprehensive robotics [10]. Animpendinggoal in the
research and development community is to automate robots
and equip them with suitable cognitive processing skills
and collectiveindependent proficiencies, thereforereleasing
or complimenting thecognitive efforts of human operators,
particularly in intricate tasks and situations.
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