Exploring Challenges and Opportunities in Manufacturing and Intelligence for Future Robotics

Abstract

Abstract This paper offers a forward-looking perspective on the challenges and opportunities shaping the future of robotics, drawing insights from both established and emerging research. It addresses two pivotal dimensions: the complexities of manufacturing and the integration of intelligence within robotic systems. On the manufacturing front, key elements such as structural materials, manufacturing processes, assembly methodologies, sensors, actuators, and power systems are explored. Simultaneously, the paper evaluates the evolution of robotic intelligence, focusing on frameworks for autonomous levels, artificial intelligence (AI), digital twin technology, and the transformative potential of quantum computing. By analyzing these elements, the study examines their implications for the broader deployment and functionality of robots across industrial, service, missional, and ethical domains. This perspective highlights how emerging technologies and strategies can address key challenges to drive robotic evolution, offering a roadmap for researchers, engineers, and policymakers to accelerate intelligent, scalable, and versatile robotic systems.