Getting mobile robots to sense and avoid obstacles is one thing, but getting them to understand their surroundings and be interoperable across suppliers is another. SLAMcore demonstrated simultaneous localization and mapping (SLAM) on NVIDIA’s Jetson platform with an Intel RealSense camera at ProMat.
“We provide the SDK [software development kit] and use existing compute on the device with a Linux distribution,” said Owen Nicholson, CEO of SLAMcore. “We’ve been tracking manual forklifts with visual SLAM.”
“A lot of AMRs already have cameras for obstacle avoidance, and you can just drop in our software on affordable hardware,” he explained. “It runs ROS 2, and it can update maps and digital twins in real time.”
“This situational awareness fits the hierarchy of robot needs, from robot to fleet to warehouse,” Nicholson told Robotics 24/7. “With XR [augmented and virtual reality], and operator can see what the robot sees.”
What about emerging interoperability standards?
“They’re essential to solve in the future, but they can’t solve everything,” said Daniel Zindl, director of products at Agilox. “We want to be a one-stop shop, but we can’t solve everything. We are part of [German automakers’] VDA 5050 and communicated with MassRobotics regarding standards for the U.S. market.”
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