Elevating Performance for Enhancing AI-Powered Humanoid Robots Through Innovation

Author:

Kunduru Krishnamohan Reddy1ORCID,Dwivedi Yagya Dutta2ORCID,Aruna R.3,Thippeswamy G. R.4,Selvakumar Subramanian5,Sudhakar M.6

Affiliation:

1. Department of Engineering Design, Overhead Door Corporation, Lewisville, USA

2. Department of Aeronautical Engineering, Institute of Aeronautical Engineering, Hyderabad, India

3. Department of Electronics and Communication Engineering, AMC Engineering College, Bengaluru, India

4. Department of Computer Science and Engineering, Don Bosco Institute of Technology, Bengaluru, India

5. Department of Electrical and Computer Engineering, Bahir Dar Institute of Technology, Ethiopia

6. Department of Mechanical Engineering, Sri Sai Ram Engineering College, Chennai, India

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.

Publisher

IGI Global

Reference40 articles.

1. Artificial emotional intelligence in socially assistive robots for older adults: A pilot study.;H.Abdollahi;IEEE Transactions on Affective Computing,2022

2. A Computational Multicriteria Optimization Approach to Controller Design for Physical Human-Robot Interaction

3. Machine learning and AI in business intelligence: Trends and opportunities.;J. P.Bharadiya;International Journal of Computer,2023

4. Deep Learning Techniques Applied for Automatic Sentence Generation

5. Advancements in Machine Learning and AI for Intelligent Systems in Drone Applications for Smart City Developments

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