Special Issue: Human–Robot Collaboration in Industry 5.0
Guest Editorial From Human–Robot to Human–Machine Collaboration With the implementation of the Industry 4.0 concept, technologies such as artificial intelligence (AI), robotics, the industrial
Dr. Purwar is an award-winning teacher, researcher, TEDx speaker, and inventor of several technologies, some of which are available as products in the market. He has received several best paper and outstanding research awards, excellence in teaching awards, and the top 100 design awards for his inventions. He received the SUNY FACT2 award, two SUNY Research Foundation Technology Accelerator Fund (TAF) awards, A.T. Yang award for Theoretical Kinematics, and Presidential Award for Excellence in Teaching.
He has led more than 125 technical projects in mechanisms and robotics, wave-, and wind-energy harvesting, physical therapy and rehabilitation devices, aircraft components, and consumer products design, with a cumulative in-cash funding of $4.4M supported by National Science Foundation, industry, NY-state SPIR, NY-state Center for Biotechnology, Sensor-CAT, SUNY Research Foundation, and SUNY Office of Provost. More than 175 students have been supported on these projects.
Dr. Purwar is currently an Associate Editor of the American Society of Mechanical Engineer (ASME) Journal of Computing and Information Science in Engineering and of International Journal of Mechanics Based Design of Structures and Machines and has served as the Conference and Program chair for several ASME international conferences. He has also served as a guest editor for special issues for the ASME Journal of Mechanisms and Robotics and for the ASME Journal of Medical Diagnostics and Therapy. He is an elected member of the ASME Mechanisms and Robotics Committee and of the National Academy of Inventors (NAI).
Guest Editorial From Human–Robot to Human–Machine Collaboration With the implementation of the Industry 4.0 concept, technologies such as artificial intelligence (AI), robotics, the industrial
Generative artificial intelligence (AI) refers to the domain of AI systems designed to generate new datasets that are similar to the ones they were trained
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