Elevating Performance for Enhancing AI-Powered Humanoid Robots Through Innovation
Krishnamohan Reddy Kunduru, Yagya Dutta Dwivedi, R. Aruna, G Thippeswamy, Subramanian Selvakumar, M. Sudhakar
Abstract
This chapter explores strategies for enhancing the performance of AI-powered humanoid robots through innovation. It begins with an overview of the current landscape of humanoid robots, highlighting their diverse applications across industries. The review examines existing performance metrics and identifies areas for improvement. Subsequent sections delve into specific avenues for innovation, including advancements in cognitive capabilities, motor skills, emotional intelligence, and human-robot interaction. Leveraging machine learning techniques for continuous improvement is also explored. Ethical considerations, such as privacy concerns and bias mitigation, are addressed, along with challenges associated with societal impact. The chapter concludes with case studies showcasing successful implementations of performance-enhancing strategies and outlines potential future directions for research and development in the field.