How Does AI Software Impact Robotics in Manufacturing?
In this episode, we connect with Kristi Martindale, chief commercial officer at Palladyne AI, to explore the use of low-code software and associated closed-loop systems to process data at the edge for AI-enabled robotics, how AI-powered robotics software adapts to new parts or processes, and what kinds of manufacturing applications stand to benefit most from this technology.
Low-code AI robotics training allows shop floor operators and process engineers to train robots through simple chat commands or demonstration-based training, with people learning the system in under 4 hours.
Edge-based closed loop processing handles all data locally at the edge for lower latency, reduced costs and better security, while managing the full automation stack from object detection to motion planning and task execution.
Rapid adaptationenables a robotic system to be retrained on new parts or processes in as little as 20-30 minutes, making it ideal for high-mix, low-volume operations that were previously difficult to automate due to variability and programming complexity.
David Greenfield joined Automation World in June 2011. Bringing a wealth of industry knowledge and media experience to his position, David’s contributions can be found in AW’s print and online editions and custom projects. Earlier in his career, David was Editorial Director of Design News at UBM Electronics, and prior to joining UBM, he was Editorial Director of Control Engineering at Reed Business Information, where he also worked on Manufacturing Business Technology as Publisher.
