International Journal of Progressive Research in Engineering Management and Science
(Peer-Reviewed, Open Access, Fully Referred International Journal)

ISSN:2583-1062
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Paper Details

ALFA "Advanced Learning and Task Execution Robot (KEY IJP************033)

  • Ms Shraddha .m. Rangari, Asst. Prof. P. B. Jaipurkar,Ms Kshitija.c.wanjare

Abstract

ABSTRACTRobots are becoming smarter and more useful in different fields, from factories to healthcare. This paper introduces ALFA, an advanced learning robot designed to efficiently perform tasks by continuously learning and adapting to its surroundings. Using artificial intelligence and real-time feedback, ALFA can improve its performance over time, making it more precise and reliable. Its flexible design allows it to be used in various applications, such as industrial automation and service robotics. Tests show that ALFA outperforms traditional robots by learning tasks faster and executing them with greater accuracy. This research explores how AI-powered robots like ALFA can revolutionize automation and improve efficiency in the real world.Keywords: Artificial Intelligence, Realtime Feedback, Task Execution, Automation, Robot Adaptation 1. INTRODUCTION (Font-Times New Roman, Bold, Font Size -12)Robots are becoming an essential part of our daily lives, helping in industries, healthcare, and even household tasks. However, most traditional robots follow pre-programmed instructions and struggle to adapt to new or unexpected situations. This is where ALFA (Advanced Learning and Friendly Assistant) comes in. ALFA is designed to learn and improve over time, making it more efficient and adaptable compared to regular robots. Using artificial intelligence and real-time feedback, it can analyze its surroundings, make smart decisions, and perform tasks with increasing accuracy. Whether its assembling products in a factory, assisting in medical can procedures, or helping with everyday chores, ALFA can adjust to different environments and improve its performance without constant human intervention. This paper explores how ALFA works, its unique features, and how it outperforms traditional robots. By combining advanced learning techniques with task execution, ALFA represents the future of intelligent automation, making robots smarter, faster, and more useful in real-world applications. ALFA is an advanced virtual assistant robot designed to go beyond traditional assistant robot designed to go beyond traditional assistants by using Artificial Intelligence (AI) and Machine Learning (ML). Unlike simple assistants that only follow commands, ALFA is capable of understanding context, learning from its interactions, and adapting its responses to offer smarter, more personalized work. In recent years human-robot interaction studies captured the attention of researchers because the large variety of domains in which these studies could be applied. Latest results encourage the development of agents capable of learning, interact and working as a real, effective, partners with humans. Different results from several research groups demonstrates many applications that can be conducted by robotic partners, Furthermore, many studies demonstrate that the robot capability to express emotions encourages a natural and believable interaction with humans, increasing the acceptance of the robot itself. Moreover, other researches also showed that robots with a believable personality will be more accepted by humans, that become more disposed to interact closely. This paper will represent an easily scalable robot ALFA that can be used in offices, receptions, or on any desktop. Recent studies show that empathy makes the robot more accepted by the people, so the capability of arousing it in humans is important on the designing of robots that should collaborate with humans. By introducing this project, the acknowledgement and significance of precision and versatility in modern robotics. Traditional robotic systems often rely on pre-programmed instructions, limiting their adaptability to dynamic environments. In contrast, this project leverages real-time processing to endow the ALFA.

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