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Robotics research, evolution of robotics, industrial robotics, field robotics, service robotics, artificial intelligence (AI), machine learning, soft robotics, swarm robotics, human-robot interaction (HRI), simultaneous localization and mapping (SLAM), sensor integration, autonomy in robotics, robot perception, robot navigation, object detection, robot motion planning, OpenCV, ROS (Robot Operating System), Gazebo simulator, UR5, TurtleBot3, literature review, simulation-based experiments, comparative analysis, Python programming, image processing, content analysis, benchmarking, manufacturing, healthcare, space exploration, NASA Mars rovers, agriculture, domestic assistance, disaster response, environmental monitoring, logistics, robot adaptability, ethical considerations in robotics, robot safety, human trust in robots, data privacy, job displacement, regulatory frameworks, emotional intelligence in robots, bioinspired robotics, reinforcement learning, robotics-as-a-service (RaaS), autonomous vehicles, exoskeletons, prosthetics, smart cities integration. |
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Robotics has evolved from its origins in industrial automation to sophisticated systems operating in dynamic and unstructured environments. Initially designed for repetitive tasks in controlled settings, robots have increasingly become autonomous, adaptive, and interactive. This paper explores the trajectory of robotics research, tracing its development from industrial roots to modern applications in field and service environments. It highlights key technological advancements, current trends, and the societal impact of robotics, projecting a future where robotics is integrated deeply into daily life. |