Toposens has launched the company’s first commercial 3D collision avoidance system for mobile robots based on proprietary 3D ultrasonic echolocation technology. The launch represents a key milestone for the company, following more than seven years of R&D and product commercialization.
Addressing the unmet need for higher safety for mobile robots in industrial settings, the Toposens 3D Ultrasonic Echolocation Sensor ECHO ONE and Toposens processing unit with sophisticated filters for 3D collision avoidance is now available, having been run through rigorous commercial testing in real-life industrial scenarios with reputable mobile robotic companies. This kind of “co-developing” of a high-tech product together with leading tech firms ensures the highest levels of performance for the commencing serial deployment.
With the autonomous vehicle industry booming and mobile robots such as automated forklifts, AMRs and AGVs experiencing exponential growth levels, the safety of humans and machines is kept at the forefront of manufacturing efforts. The market has come to realize that 3D collision avoidance is a necessity, since the obligatory 2D safety LiDARs can only deliver two-dimensional data output, which does not meet the highest safety needs.
Due to their physical properties, other 3D sensor systems such as LiDAR or camera have limitations in their perception capabilities when optical conditions in their environment are unfavorable or objects like forklift forks are close to the floor. As a result, they struggle to detect objects well enough, making them an unreliable and insufficient collision avoidance solution. Also, the traditional one-dimensional ultrasonic sensor does not deliver the needed data for reliable 3D collision avoidance, as it can only measure simple distance data, compared to the 3D point cloud the Toposens 3D collision avoidance system is able to generate.
Trying to find a way to compensate these shortcomings and provide the market with a best-in-class 3D collision avoidance, Toposens has over the past few years been working towards a commercial version of its 3D Ultrasonic Echolocation Sensor to serve the need for a reliable mobile robot 3D collision avoidance.
Based on the principle of echolocation as seen in bats, Toposens ECHO ONE compensates for the drawbacks of optical sensors through sound-based triangulation in combination with sophisticated noise-filtering software. This in turn delivers robust 3D data output in real-time for each obstacle detected within the fully adjustable warning- and stopping zones. What’s more, the zones can both be set to dynamically follow a mobile robot taking a left- or right turn and adjust to the speed of the vehicle.
The sensor sends the obtained data (echo reflections perceived by three microphones) in a 3D point cloud format to the Toposens processing unit, which is equipped with an easy-to-configure advanced 3D collision avoidance software.
From there, depending on which 3D zone violations are detected, the Toposens processing unit triggers either a “slow down” or “stop” command to the mobile robot’s CPU. When no zone violations are detected, the mobile robot drives on.
Tobias Bahnemann, CEO and Co-Founder of Toposens, commented: “Being able to detect multiple difficult-to-detect obstacles reliably and in real-time, regardless of environmental conditions, enables us to provide next-level robotic safety for our customers. Our technology addresses the shortcomings of optical sensors, such as LiDARs, which can fail to detect floor-based objects like forklift forks on the floor, in unfavorable lighting conditions or transparent or mirrored object surfaces. Receiving data output in 3D, meaning in x, y, and z coordinates, guarantees the most reliable level of 3D collision avoidance.”
“Ahead of production, we have been co-developing and testing our Toposens ECHO ONE in pilot projects and actual real-life set-ups with renowned companies for almost two years. This has put us in a position from which we can now offer our customers a state-of-the-art, next-level robotic safety system. With 3D collision avoidance capabilities missing in existing sensor solutions, the economic setback of damaged goods, or even expensive production stops as a consequence of undetected obstacles, can considerably limit the ROI of any mobile robot system. This highlights the necessity for mobile robots to “see” their environment using a different kind of vision technology – we call it “BAT VISION” and are delighted to now be moving on to serial production.”
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