Design, Development, and Optimization of Autonomous Robots for Enhanced Performance

Year : 2025 | Volume : 12 | Issue : 02 | Page : 22 30
    By

    Vedang Sharma,

  1. Student, Department of Computer Science, University of California-Scout, San Francisco Bay Area, California, USA

Abstract

Autonomous robots are transforming industries by executing complex tasks with minimal human intervention, improving efficiency, precision, and adaptability across various domains such as manufacturing, healthcare, logistics, and exploration. Their performance relies on a synergy of robust hardware design, intelligent control mechanisms, and advanced optimization techniques. This paper explores the key components of autonomous robots, including sensor integration, locomotion systems, control architectures, and decision-making frameworks that enable autonomous operation in dynamic environments Optimization plays a crucial role in enhancing the efficiency, reliability, and adaptability of autonomous robots. Various techniques such as machine learning, deep reinforcement learning, heuristic algorithms, and real-time adaptive control are employed to improve motion planning, obstacle avoidance, energy efficiency, and task execution. This paper examines these optimization strategies and their impact on robot performance. Additionally, the role of real-time data processing, cloud-based computing, and edge artificial intelligence in improving autonomy and decision-making capabilities is discussed. Another critical aspect of autonomous robotics is multi-robot coordination, where swarm intelligence and distributed computing enable collaborative task execution. This paper investigates methods for optimizing coordination, communication, and resource allocation among multiple autonomous agents. Furthermore, advancements in human-robot interaction, safety mechanisms, and ethical considerations in autonomous decision-making are also analyzed As technology continues to evolve, new trends such as bio-inspired robotics, neuromorphic computing, and quantum algorithms are emerging, paving the way for next-generation autonomous robots. The paper concludes with a discussion on the challenges facing autonomous robotic systems, including hardware limitations, computational complexity, environmental uncertainty, and regulatory considerations. By addressing these challenges through continuous innovation in design and optimization, autonomous robots can achieve higher levels of intelligence, efficiency, and reliability, further revolutionizing industries and society as a whole

Keywords: Artificial intelligence, autonomous robots, design, development, human-robot interaction (HRI), machine learning, algorithms

[This article belongs to Journal of Advancements in Robotics ]

How to cite this article:
Vedang Sharma. Design, Development, and Optimization of Autonomous Robots for Enhanced Performance. Journal of Advancements in Robotics. 2025; 12(02):22-30.
How to cite this URL:
Vedang Sharma. Design, Development, and Optimization of Autonomous Robots for Enhanced Performance. Journal of Advancements in Robotics. 2025; 12(02):22-30. Available from: https://journals.stmjournals.com/joarb/article=2025/view=212287


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Regular Issue Subscription Original Research
Volume 12
Issue 02
Received 15/03/2025
Accepted 29/03/2025
Published 17/05/2025
Publication Time 63 Days
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