Robotic Safety Systems - Starr, Justin; Quick, Christopher
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This text provides readers with the information needed to understand robotic safety. It includes information about standards and regulations, as well as details of how to effectively use hardware devices (such as light curtains, pressure pads, and new multi-channel lidar sensors), and software algorithms to apply motion control restrictions.

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Produktbeschreibung
This text provides readers with the information needed to understand robotic safety. It includes information about standards and regulations, as well as details of how to effectively use hardware devices (such as light curtains, pressure pads, and new multi-channel lidar sensors), and software algorithms to apply motion control restrictions.
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Autorenporträt
Dr. Justin Starr currently serves as the Endowed Professor of Advanced Technology at the Community College of Allegheny County where he works to integrate advanced technology into the technical curriculum including, augmented reality, electron microscopy, computer vision, machine learning, collaborative robots, and other cutting-edge topics. He is a certified FANUC and Universal Robots instructor, and has experience integrating robots in a variety of production environments. Previously, Dr. Starr served as CTO of RedZone Robotics, a manufacturer of water and wastewater inspection robots, CEO of High Tide Technologies, a developer of end-to-end cloud SCADA systems, and worked as a fractional COO for a number of private equity-backed firms in the high tech space. Dr. Starr holds 14 U.S. patents for inventions in robotics, artificial intelligence, and automation, and was named an Engineering Unleashed Fellow and Hi-TEC Fellow for his work with high-impact technologies. Christopher Quick is the founder of RealBotics, Inc., a company specializing in remote control, telerobotics, and industrial automation consulting. His industrial automation experience includes various robotic installs in heavy forge and stamping applications, the implementation of automated guided vehicles (AGVs) on the factory floor, the use of collaborative robots in industrial settings, and various research projects utilizing machine vision. Chris also has experience with the mechanical, electrical, and computer science aspects of the design and development of mobile device platforms such as drones, cellular-based systems, and mobile robotics. Chris received his BS in Mechanical Engineering, with minors in Electrical Engineering, Computer Science, Robotics, and Computer Vision, and an MS in Engineering Management from Rose-Hulman Institute of Technology.