Abstract
Robotics and autonomous systems represent a dynamic and interdisciplinary field that merges mechanical, electrical,
and computer engineering to create intelligent machines capable of performing tasks with minimal human intervention. This
paper explores the key principles, advancements, and challenges in robotics and autonomous systems. It delves into the design
and development of robotic systems, ranging from industrial automation to mobile and humanoid robots, emphasizing their ability
to perceive, interpret, and adapt to complex environments. The integration of artificial intelligence and machine learning
techniques plays a pivotal role in enhancing the autonomy of these systems, enabling them to learn from experience, make
decisions, and continuously improve their performance. The paper also discusses the importance of sensor technologies, such as
computer vision and inertial sensors, in providing robots with the ability to sense and navigate their surroundings. Autonomous
systems are increasingly applied in various domains, including healthcare, agriculture, manufacturing, and transportation. The
paper highlights the societal impacts of robotics and autonomy, addressing ethical considerations, safety standards, and the
potential for job displacement. Furthermore, it explores ongoing research in swarm robotics, collaborative human-robot
interaction, and the development of ethical frameworks for autonomous decision-making. As robotics and autonomous systems
continue to evolve, their role in shaping the future of technology and society becomes more pronounced. This abstract provides a comprehensive overview of the current state of the field, outlining the challenges and opportunities that lie ahead in the quest to create intelligent, adaptive, and ethically responsible robotic systems.