Ijraset Journal For Research in Applied Science and Engineering Technology
Authors: Badarala Pallavi, Dr. V. Bhaskara Raju, Dusanapudi Lakshmi Naga Saisri , Gunturi Sneha Tejaswi
DOI Link: https://doi.org/10.22214/ijraset.2026.77065
Certificate: View Certificate
The growing significance of robotics and artificial intelligence (AI) in the pharmaceutical sector is the main subject of this analysis. Artificial intelligence (AI) and cutting-edge robotic technology in the pharmacy and medical fields have a bright future.Their primary objectives are to save costs, enhance patient outcomes, and increase operational effectiveness while tackling significant issues includingthe requirement for more effective drugs and individualised healthcare. Robotics, industrial automation, and using computers, control systems, and information technology to operate machinery and industrial processes instead of human labour boost performance, productivity, quality, and speed. Automation and robotics have become revolutionary instruments in the changing field of pharmacy practice. By improving productivity, accuracy, and regulatory compliance across critical processes like medication development, production, distribution, and quality control, the combination of automation and robots is revolutionizing the pharmaceutical sector. This technology uses an innovative approach that increases production in order to identify and ensure the quality of final products. Additionally, it finds and resolves any problems, which has a big effect on the pharmacy system. Implementing robotic systems is mostly done to save human time, lower labour costs, and ensure worker safety from potential hazards
Automation and robotics have transformed the pharmaceutical industry by improving productivity, safety, accuracy, and efficiency across drug discovery, manufacturing, quality control, and distribution. Since the introduction of computers and early AI in the 1980s, these technologies have increasingly been adopted to reduce human error, accelerate research and development, streamline workflows, and enhance patient-centered care. Techniques such as Failure Mode and Effects Analysis (FMEA) are used to identify and mitigate risks in automated pharmaceutical processes, improving output and profitability.
Automation in the pharmaceutical sector includes process automation, laboratory automation, quality control, supply chain and inventory management, regulatory documentation, clinical trial management, and packaging. AI and machine learning support tasks such as predictive maintenance, quality inspection, clinical trial optimization, and personalized medicine development. These technologies also enable customized drug formulation, real-time data management, regulatory compliance, and improved cybersecurity measures.
Robotics plays a critical role in laboratory automation, manufacturing, inspection, material handling, research and development, warehousing, and distribution. Robots enhance precision, consistency, and contamination control, particularly in sterile environments. Advanced applications include AI-powered drug discovery, high-throughput screening, robotic compounding, personalized medicine through 3D printing, and human–robot collaboration using cobots. Robotic process automation (RPA) further improves administrative and back-end operations by automating repetitive tasks.
Current trends highlight faster time-to-market, improved quality and compliance, operational flexibility, cost reduction, workforce safety, and data-driven decision-making through integration with AI, IoT, and digital platforms. Pharmaceutical applications of automation and robotics span drug discovery, testing, manufacturing, packaging, supply chain optimization, nanomedicine, and quality assurance.
Despite these benefits, challenges remain, including high initial investment costs, space limitations, workforce skill gaps, cybersecurity risks, ethical concerns, system integration complexity, and potential job displacement. Successful adoption requires strategic planning, staff training, regulatory compliance, and balanced consideration of safety and ethical issues. Overall, automation and robotics represent a rapidly evolving and essential pathway for the future growth and innovation of the pharmaceutical industry.
The pharmaceutical industry\'s adoption of automation and robotics signifies a fundamental change in the way medications are developed, produced, distributed, and studied. These technologies lower operating costs and human error while increasing productivity, accuracy, and regulatory compliance. From AI-powered robots speeding up drug discovery and personalized medicine to robotic process automation (RPA) simplifying administrative duties, the pharmaceutical industry is quickly changing into a more intelligent, effective, and patient-centred sector. Robots and automated systems are now crucial for handling laboratory operations, managing complex supply chains, upholding stringent quality control, and operating in sterile environments across the pharmaceutical value chain. Their accuracy and consistency in carrying out high-risk, repetitive tasks improves worker and patient safety. Additionally, advancements like AI-augmented drug repurposing, 3D printing customized medications, and nanomedicine are raising the bar for medical care and treatment. Adoption of these technologies is not without its difficulties, though. Significant obstacles include, safer production settings, quicker drug development, and a time when personalized medicine is the rule rather than the exception. A balanced strategy—utilizing technology while managing its risks—will be essential to attaining long-term progress in global healthcare as the sector innovates.
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Copyright © 2026 Badarala Pallavi, Dr. V. Bhaskara Raju, Dusanapudi Lakshmi Naga Saisri , Gunturi Sneha Tejaswi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET77065
Publish Date : 2026-01-21
ISSN : 2321-9653
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