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Collision avoidance technology makes cobots even more productive

Collision avoidance technology makes cobots even more productive

Collaborative robotic installations are repeatable, reliable and provide an environment where humans and robots can coexist work together. This has definitely brought many new users and solutions to the to increase 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 seem to be changing that and a new paradigm for speed and flexibility to be defined in cobot workplaces.

With cobots programmed to perform predefined movements and actions, the automation solution is reliable and repeatable, but not flexible. That's right, flexibility comes from the ability to have robots that, instead of following predefined paths, follow, be able to make movement decisions themselves, intelligently selected from multiple options. The result is cobot workstations that are not only repeatable are, but also flexible and optimized.

Setting up predefined motion paths can however, require significant programming effort, plus the associated simulation, testing and evaluation. When we talk about ultimate flexibility, we don't want predefined movement paths, but rather dynamic defined motion paths. Creating a collision-free environment with However, conventional technologies would require a gigantic programming feat require.

Eliminate the risk of collisions

The solution lies in the same technologies that are used in industrial robot cells. These technologies can provide a higher speed and flexibility for cobot work environments. Mitsubishi in particular Electric and Realtime Robotics have collaborated to simplify robotics and accelerate automation in unstructured and dynamic environments.

The customized solution combines the collaborative robots of Mitsubishi Electric with Realtime control and programming technologies Robotics. It is built around the Realtime motion planning accelerator hardware and RapidPlan makes the software. RapidPlan makes manual motion planning redundant, which significantly reduces the time and costs involved multi-robot cells. The specialized software enables robots to process millions evaluate alternative motion paths to avoid collision and choose the optimal route before it moves – all in milliseconds.

This can provide a complete solution in a structured environment if unplanned events do not have to be taken into account obstacles. But in a collaboration with a human operator, an unknown variable which must be taken into account. Here installations can use making Realtime Robotics' RapidSense technology, which provides the functionality from RapidPlan expands with up to 8 3D cameras to create a merged point cloud. At runtime, it senses the unknown objects and generates paths to avoid any contact.

With RapidPlan and RapidSense in a cobot environment, users can reap the benefits of optimized work cells. The technology makes the use of a PLC is unnecessary and if a cobot has to be placed in the cell for maintenance, automatic adjustments are made to prevent unplanned minimize or prevent cell failure. More importantly, this is all delivered with a simplified set-up, with Mitsubishi Electric and Real-time Robotics can provide up to a 10x reduction in initial programming and implementation save time.

Multi-robot work cells

The further cooperation between Mitsubishi Electric and Realtime Robotics paves the way for multi-robot work cells that both industrial robots combine, as specially designed collaborative robots to to work alongside people. It builds on the existing initiative between the two companies to have robots work together in environments where there may be unplanned obstacles, with the robots dynamically planning around the obstacles in their workspace.

Bringing these new technologies to collaborative installations result in improved precision, speed and load capacity. The new solution is the key to unlocking the productivity promise of cobot installations it seemed so temptingly close for so long and yet so far away

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