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Healthcare has been at the forefront of robot adoption and innovation. Collaborative robots, or cobots, are gaining popularity for their ability to perform repetitive tasks with high accuracy and precision while working alongside healthcare professionals. Unlike traditional robots, cobots operate in shared environments, directly interacting with humans to complete tasks. This partnership enables healthcare providers to contribute creativity, intelligence, adaptability, dexterity, and tactile sensitivity, while robots provide precision, speed, endurance, consistency, and advanced data-processing capabilities. As a result, the focus of robotics research and development has shifted from replacement to collaboration, fostering safer, smarter, and more adaptive healthcare systems. Human-robot interaction (HRI) examines how humans and robots communicate, collaborate, and coexist, transforming robots from simple tools into cooperative agents that enhance human capabilities. Further exploration of HRI may reveal how it strengthens e-collaboration through seamless, data-driven interaction and information exchange between humans and robotic systems. Advancing E-Collaboration in Healthcare Through Human-Robot Interaction explores the applications, types, benefits, functions, challenges, and emerging trends of HRI and collaboration in healthcare. It examines collaborative robots, human-robot interaction, and e-collaboration as key technologies for achieving effective human-robot intelligence in medical settings. Covering topics such as deep neural networks, nanorobotics, and telemedicine, this book serves as a valuable resource for healthcare professionals, engineers, academicians, researchers, and scientists.
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