Collision avoidance technology makes cobots even more productive
Collaborative robot installations are repeatable, reliable
and provide an environment where humans and robots can work together side by
side. Certainly this has given many users a solution for increasing productivity,
but in some cases there are limits to what can be achieved in terms of the
flexibility and sophistication of the application. However, the latest
developments in collaborative robots and their control technologies look set to
change that, defining a new paradigm for speed and flexibility in cobot
workspaces.
With cobots programmed to follow pre-defined motions and
actions, the automation solution is reliable and repeatable, but it is not
flexible. True flexibility comes from the ability to have robots which, rather
than following pre-defined paths, can instead make motion decisions for
themselves, intelligently selecting from multiple options. The result would be
cobot workspaces that are not only repeatable, but also flexible and optimised.
However, just setting up pre-defined motion paths can imply
significant programming effort, plus the associated simulation, testing and
evaluation. When we talk about ultimate flexibility, what we want is not
pre-defined motion paths, but rather dynamically defined motion paths. Creating
a collision-free environment with conventional technologies would require a
gargantuan feat of programming.
Eliminating the potential of collisions
The solution lies within some of the same technologies that
are being used in industrial robot cells. These technologies can deliver
increased speed and flexibility to cobot working environments. In particular,
Mitsubishi Electric and Realtime Robotics have worked together to simplify and
accelerate robotic automation in unstructured and dynamic environments.
The custom solution combines Mitsubishi Electric’s
collaborative robots with the control and programming technologies of Realtime
Robotics. It is built around the Realtime motion planning accelerator hardware
and RapidPlan Create software . RapidPlan removes the need for manual motion planning
and eliminates robot interlocking, significantly reducing deployment time and
cost for multi-robot cells. The specialised software enables robots to evaluate millions of alternative motion paths
to avoid a collision and choose the optimal route before making a move – all in
milliseconds.
This can provide a complete solution in a structured
environment where there is no requirement to account for unplanned obstacles.
But in a collaborative robot setting, the human operator is an unknown variable
that needs to be accounted for. Here, installations can make use of Realtime
Robotics’ RapidSense technology, which extends the functionality of RapidPlan
by using up to 8 3D cameras to create a merged point cloud. During run-time, it
perceives unknown objects and generates paths to avoid any contact.
Using RapidPlan and RapidSense in a cobot environment, users
can reap the benefits of optimised work cells. The technology removes the need
for PLC interlocks, and should one cobot in the cell be required to shut down
for maintenance, there can be immediate, automated adjustment of the other cobots
to minimise or prevent unscheduled cell downtime. Importantly, all of this
comes with simplified set-up, with Mitsubishi Electric and Realtime Robotics
able to demonstrate up to a 10x reduction in initial programming and implementation
time.
Multi-robot work cells
Further, the partnership between Mitsubishi Electric and
Realtime Robotics paves the way for multi-robot work cells that combine both
industrial robots and purpose-designed collaborative robots to work alongside
people. It builds on the existing initiative between the two companies to
enable robots to work together in environments where there might be unplanned obstacles,
with the robots dynamically planning around the obstacles in their workspace.
Bringing these new technologies to collaborative
installations will deliver enhanced precision, speed and payload capabilities.
The new solution holds the key to unlocking the productivity promise of cobot
installations that has for so long seemed tantalisingly close and yet somehow
just out of reach.
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