Skip to content
Research Article Open access CC BY 4.0

Synergy Between AI and Robotics: A Comprehensive Integration

Stephanie Ness, Nicki James Shepherd, Teo Rong Xuan

Asian Journal of Research in Computer Science · pp. 80–94 · Published 29 Sep 2023

10.9734/ajrcos/2023/v16i4372

Abstract

The emergence of artificial intelligence is mostly linked to software-driven robotic systems, including mobile robots, unmanned aerial aircraft, and, to a growing extent, semi-autonomous automobiles. Nevertheless, the significant disparity between the algorithmic realm and the physical realm hinders current systems from achieving the desired outcome of creating intelligent and user-friendly robots that can effectively engage with and manipulate our human-centric environment. The nascent field of machine intelligence (MI), which combines robotics and artificial intelligence, strives to develop reliable and embodiment-aware artificial intelligence systems. These systems possess self-awareness and an understanding of their environment, enabling them to adapt to the interacting body they are operating. The incorporation of artificial intelligence (AI) and robotics into control, perception, and machine-learning systems is necessary for the realization of fully autonomous intelligent systems in our everyday existence. This review provides an overview of the historical development of machine intelligence, tracing its origins to the twelfth century. It then proceeds to examine the present state of robotics and artificial intelligence (AI), discussing significant systems and contemporary research directions. Additionally, the article outlines the remaining challenges in these fields and speculates on the potential future of human-machine interactions that has yet to be realized.

Synergy AI robotic systems

References (44)

  1. 1 The Nature of the Firm [DOI]
  2. 2 Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions [DOI]
  3. 3 The future of employment: How susceptible are jobs to computerisation? [DOI]
  4. 4 Architectural Innovation: The Reconfiguration of Existing Product Technologies and the Failure of Established Firms [DOI]
  5. 5 The Skill Content of Recent Technological Change: An Empirical Exploration [DOI]
  6. 6 Robots and Jobs: Evidence from US Labor Markets [DOI]
  7. 7 SOMETHING OLD, SOMETHING NEW: A LONGITUDINAL STUDY OF SEARCH BEHAVIOR AND NEW PRODUCT INTRODUCTION. [DOI]
  8. 8 Communication and Trust in Global Virtual Teams [DOI]
  9. 9 Robots at Work [DOI]
  10. 10 A future that works: automation, employment, and productivity
  11. 11 The Skill Complementarity of Broadband Internet * [DOI]
  12. 12 Human Decisions and Machine Predictions [DOI]
  13. 13 The double‐edged sword of recombination in breakthrough innovation [DOI]
  14. 14 High-Dimensional Methods and Inference on Structural and Treatment Effects [DOI]
  15. 15 What Can Machines Learn and What Does It Mean for Occupations and the Economy? [DOI]
  16. 16 Automated Experiments on Ad Privacy Settings [DOI]
  17. 17 The Distinct Effects of Information Technology and Communication Technology on Firm Organization [DOI]
  18. 18 The Dimensions and Antecedents of Team Virtuality [DOI]
  19. 19 Stylized Facts in the Geography of Innovation [DOI]
  20. 20 The Impact of Machine Learning on Economics [DOI]
  21. 21 Does Machine Translation Affect International Trade? Evidence from a Large Digital Platform [DOI]
  22. 22 Technological pre-adaptation, speciation, and emergence of new technologies: how Corning invented and developed fiber optics [DOI]
  23. 23 Discretion in Hiring* [DOI]
  24. 24 Business Artificial Intelligence [DOI]
  25. 25 A Method to Link Advances in Artificial Intelligence to Occupational Abilities [DOI]
  26. 26 The Impact of Artificial Intelligence on Innovation [DOI]
  27. 27 Globalisation and Economic Growth: A Historical Perspective [DOI]
  28. 28 Steering in Online Markets: The Role of Platform Incentives and Credibility [DOI]
  29. 29 The proximity of ideas: An analysis of patent text using machine learning [DOI]
  30. 30 Nuanced Role of Relevant Prior Experience: Sales Takeoff of Disruptive Products and Product Innovation with Disrupted Technology in Industrial Robotics [DOI]
  31. 31 The Skill Content of Recent Technological Change: An Empirical Exploration [DOI]
  32. 32 Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share [DOI]
  33. 33 The Polarization of the U.S. Labor Market [DOI]
  34. 34 Artificial unintelligence: how computers misunderstand the world [DOI]
  35. 35 How Computer Automation Affects Occupations: Technology, Jobs, and Skills [DOI]
  36. 36 AI and International Trade [DOI]
  37. 37 Computerization Threatens One Third of Finnish Employment
  38. 38 The Business of AI Startups [DOI]
  39. 39 Bias and Productivity in Humans and Machines [DOI]
  40. 40 Public Policy in an AI Economy [DOI]
  41. 41 Machine Learning and Human Capital: Experimental Evidence on Productivity Complementarities [DOI]
  42. 42 What You Say Your Strategy Is and Why It Matters: Natural Language Processing of Unstructured Text [DOI]
  43. 43 The Cost of Research Tools and the Direction of Innovation: Evidence from Computer Science and Electrical Engineering [DOI]
  44. 44 Small Numbers Bargaining in the Age of Big Data: Evidence From a Two-Sided Labor Matching Platform [DOI]

Cited by 72

The Convergence of AI and animal-inspired robots for ecological conservation

Naqash Afzal, Mobeen ur Rehman, Lakmal Seneviratne · Ecological Informatics · 2025

Research on optimization A* algorithm based on energy consumption of mobile navigation robot

Bin Hong, Zhan Cao, Fugeng Li · International Journal of Modeling, Simulation, and Scientific Computing · 2025

The Evolution of Industrial Automation and Cybersecurity Risks

Sher Taj, Hajan Dahri, Tahseen Ulah · Advances in Computational Intelligence and Robotics · 2025

Pointer Pressure Gauge Reading Recognition System Based on Lightweight Multitask Interactive Network for Intelligent Robotic-Assisted Measurement

Jing Guo, Xiongbai Long, Xiushun Zhao · IEEE Transactions on Automation Science and Engineering · 2026

Impacts of Nano-Materials and Nano Fluids on the Robot Industry and Environments

Nalla Bhanu Teja, V. Kannagi, A. Chandrashekhar · Advances in Computational Intelligence and Robotics · 2024

When Trust in AI Mediates: AI News Use, Public Discussion, and Civic Participation

Seungahn Nah, Fanjue Liu, Chun Shao · International Journal of Public Opinion Research · 2024

The Role of AI in Cyber Security: Safeguarding Digital Identity

Mohammad Binhammad, Shaikha Alqaydi, Azzam Othman · Journal of Information Security · 2024

Enabling Proactive Industrial Cobots: An Artificial Intelligence Approach to Enhanced HRC

Dario Antonelli · IFIP Advances in Information and Communication Technology · 2025

Designing High-Impact Experiments for Human–Autonomy / AI Teaming

Christopher Flathmann, Nathan J. McNeese, Thomas A. O’Neill · Journal of Cognitive Engineering and Decision Making · 2025

Showing 20 of 72 known citations — external sources report more than can currently be individually listed.

Article metrics

Real usage data collected on this platform.

48

Page views

0

PDF downloads

4

Outbound clicks

72

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.