Robotics Automation presenation main.pptx

Robotics Automation presenation

1. SUBMITTED BY ABHINAV S CEK21CS002 S7 CSE Robotics Automation Based On Notion Of Software Robotics And Ai GUIDED BY AST. PROF. NIVEDYA A R ‹#›

2. No Topic 1 INTRODUCTION 2 ABSTRACT 3 ARTIFICIAL INTELLIGENCE 4 PROPERTIES OF RPA 5 SOLUTIONS AND RECOMMENDATIONS 6 RPA AND BPM 7 BENEFITS OF RPA 8 FUTURE RESEARCH DIRECTIONS 9 REFERENCES 10 CONCLUSION ‹#›

3. INTRODUCTION Definition: RPA creates software robots (bots) that replicate human actions. Purpose: Reduce labor costs, enhance productivity, minimize errors, and improve customer satisfaction. Trend: RPA is a trending technology across various industries. What is RPA? System: Automates business processes through business logic and user inputs. Functions: Process transactions Manipulate data Trigger responses Communicate with other digital systems ‹#›

4. Social Implications Workforce Impact: Changes in job roles and potential job displacement. Upskilling: Need for workforce to acquire new skills to work alongside automated systems. Benefits: Cost savings and operational efficiency. RPA and AI Integration Definition: RPA is a blend of AI and automation allowing employees to configure software or 'robots' to: Reason Collect and extract knowledge Recognize patterns Learn and adapt to new situations ‹#›

5. Capabilities: RPA handles rule-based, repetitive processes. AI assists in defining and managing exception cases. Applications include natural language processing (NLP) and online customer support. Future Vision: Coordination between RPA and AI technologies to enhance automation capabilities. ‹#›

6. Objective: Explore how AI can enhance software robots designed to mimic human actions on digital systems. Technologies Integrated: Machine Learning Natural Language Processing (NLP) Computer Vision Potential Benefits: Increased efficiency Enhanced accuracy Improved decision-making capabilities Challenges and Ethical Considerations: Deployment issues Ethical implications of AI-powered robots Goal: Provide a comprehensive overview to advance robotic automation and its practical application across industries. ABSTRACT ‹#›

7. Definition: Simulation of human intelligence by machines, creating systems capable of learning and reasoning like humans. Key Concepts: Machine Learning Deep Learning Natural Language Processing (NLP) Visual Recognition Big Data Virtues in Business: Deciphering patterns from previous experiences Intelligent decision-making Prescriptive and predictive analytics Improving user experience ARTIFICIAL INTELLIGENCE ‹#›

8. 1. Rule-Based Automation RPA operates based on predefined rules and structured inputs. It follows specific instructions to complete tasks, making it suitable for processes with clear guidelines and predictable outcomes. 2. Software Bots RPA utilizes software robots or "bots" to perform tasks. These bots interact with applications and systems just like a human would, including logging into applications, entering data, and extracting information. 3. Non-Invasive RPA is typically non-invasive to existing systems and processes. It operates at the user interface level and does not require changes to the underlying systems or infrastructure. 4. Scalability RPA solutions are scalable. Organizations can deploy additional bots to handle increased workloads or expand automation to other processes without significant modifications to the existing setup. PROPERTIES OF RPA ‹#›

9. 5. High Accuracy RPA can perform tasks with high accuracy and consistency, reducing errors that are common with manual data entry and repetitive tasks. 6. Enhanced Efficiency By automating repetitive and mundane tasks, RPA can significantly improve operational efficiency, speed up processes, and free up human employees to focus on more strategic activities. 7. Cost-Effective Implementing RPA can lead to cost savings by reducing the need for manual labor, minimizing errors, and improving process efficiency. 8. User-Friendly Many RPA tools are designed with user-friendly interfaces, enabling business users with minimal technical knowledge to design, deploy, and manage automation workflows. 9. Monitoring and Reporting RPA systems provide monitoring and reporting capabilities, allowing organizations to track the performance of bots, identify issues, and gain insights into process efficiency. ‹#›

10. Suitable for RPA High volume Low volume Infrequent Repetitive Types of processes that are suitable for RPA ‹#›

11. Challenge: Broad terms like "Digital Transformation" can confuse companies, leading to frustration and failure. Solution: Intelligent Automation combines multiple technologies for comprehensive digital transformation. Key Components of Intelligent Automation Process Management (BPM): Orchestrates users, tasks, systems, and robots (RPA) Adapts to business needs in real-time Robotic Process Automation (RPA): Automates specific task-level processes Analytics and AI: Utilizes AI and machine learning for intelligent decision-making SOLUTIONS AND RECOMMENDATIONS ‹#›

12. Case Management: Provides flexibility for end-to-end case management success System Integration: Prevents data duplication Enables users to work on a single platform Benefits Comprehensive Digital Transformation: More effective than using a single technology Enhanced Efficiency: Streamlines processes and decision-making Improved User Experience: Integrated systems simplify user interactions and data management ‹#›

13. Intelligent Automation proposes concrete solutions; in short, it consists of a successful and interconnected implementation of technologies, so let’s break them down and explain the role each one plays: RPA AND BPM ‹#›

14. BPM is a process automation technology that includes the efficient coordination of people, systems and data. Objectives and Functions of BPM Infrastructure: Ensures a solid operational and business process infrastructure. Automation: Automates complex processes requiring human intervention for data entry and decision-making. Uses systems for specific tasks such as calculations or integrations. Controls actions, and generates and stores data. Business Process Management (BPM) ‹#›

15. Role of BPM Orchestra Conductor: Assigns tasks to employees, external users, or systems at the right moments. Tracks and stores all information exchanged and generated during the process from beginning to end. Benefits Coordination: Enhances the coordination between people, systems, and data. Efficiency: Streamlines complex processes, ensuring efficient operation and accurate data handling. Transparency: Provides complete tracking and storage of all process-related information. ‹#›

16. Initial Step: Establish an optimal workflow throughout the enterprise. Detect all bottlenecks. Role of BPM Tool: BPM is ideal for workflow optimization. Methods: Use statistical simulation to estimate times and resources. Ensure continuous improvement in production. Benefits: Detect and optimize bottlenecks. Often sufficient for enhancing processes. How to Combine BPM and RPA ‹#›

17. Integration with RPA When Needed: Implement RPA to expedite specific tasks. Combination: BPM for overall process optimization. RPA for task-specific acceleration. ‹#›

18. Increased Efficiency: RPA can handle tasks much faster than humans, significantly speeding up processes and reducing turnaround times. Automation allows for simultaneous execution of multiple processes. Cost Savings: By automating routine tasks, businesses can reduce labor costs and minimize the need for manual intervention. This leads to a reduction in operational expenses and allows employees to focus on higher-value activities. Improved Accuracy: RPA reduces the risk of human error in repetitive tasks. Automated processes follow predefined rules consistently, which helps maintain high accuracy and compliance. BENEFITS/ADVANTAGES OF RPA ‹#›

19. 4. Enhanced Productivity: With RPA, employees can shift their focus from mundane tasks to more strategic activities that add value to the organization. This can lead to increased overall productivity and job satisfaction. 5. Scalability: RPA systems can be scaled up or down easily to accommodate changes in business volume. This flexibility helps businesses respond to fluctuating workloads without needing to hire or lay off staff. ‹#›

20. Human-Robot Interaction (HRI) Intuitive Interfaces: Developing natural interaction methods like voice, gestures, or brain-computer interfaces. Collaboration and Safety: Enhancing safety protocols and collaborative capabilities for robots in shared environments. Autonomous Systems Improved Decision-Making: Advancing algorithms for better decision-making and adaptability in complex, unstructured environments. FUTURE RESEARCH DIRECTIONS ‹#›

21. Additional Key Areas Technological Advancements: Leveraging new technologies to drive innovation in robotics and automation. Societal Needs: Addressing societal challenges through robotic solutions. Emerging Challenges: Tackling new and unforeseen challenges as the field evolves. Machine Learning and AI Integration Generalization and Transfer Learning: Enhance robots' ability to generalize knowledge from one task to another. Improve learning efficiency. Explainable AI: Develop AI systems that provide transparent reasoning for robots' actions and decisions. ‹#›

22. Swarm Robotics Coordination and Communication: Research efficient coordination and communication methods among large numbers of robots in swarm systems. Bio-inspired Robotics Biomimetic Designs: Drawing inspiration from biological systems to design robots with improved flexibility, adaptability, and efficiency. Soft Robotics: Exploring soft robotics that mimic biological organisms for applications requiring delicate handling or adaptability. ‹#›

23. Online Resources IEEE Robotics and Automation Society. (n.d.). “Robotics & Automation.” Retrieved from IEEE Robotics and Automation Society Description: Provides resources and updates on the latest research and advancements in robotics and automation. Robotics Business Review. (2024). “Trends in Robotics Automation and AI.” Retrieved from Robotics Business Review Description: Offers articles and insights on current trends and developments in robotics automation and AI. MIT Technology Review. (2024). “How AI is Transforming Robotics.” Retrieved from MIT Technology Review Description: Provides up-to-date information on how AI is influencing the field of robotics. These references should give you a solid foundation for understanding the various aspects of robotics automation based on software robotics and AI. REFERENCE ‹#›

24. As we stand on the brink of a new era defined by the rise of advanced robotics and automation, the landscape of our world is poised for profound transformation. The integration of robots into various facets of daily life, from healthcare and engineering to personal assistance and industrial operations, heralds a future marked by unprecedented efficiency, precision, and innovation. Ultimately, the future of robotics offers a vision of a world where technology and human ingenuity work in harmony to create new opportunities and solve pressing global issues. As we advance towards this future, a collective effort to address ethical, social, and practical considerations will be essential in shaping a future that is equitable, innovative, and aligned with human values. CONCLUSION ‹#›

25. "Into a future where every task is seamlessly executed by intelligent robots” ‹#›

26. THANK YOU ‹#›