How do you use AI and robotics feedback to make better decisions?

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How do you use AI and robotics feedback to make better decisions? Feedback is essential for learning, improving, and adapting to new situations. In this article, you will discover how AI and robotics feedback can help you optimize your performance, avoid errors, and achieve your goals.

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Ramkumar Manoharan

Co-Founder @ TensorKube | A.I Product Development | Knowledge Graph | Udacity
Dr Djamila Amimer

Helping Businesses Unlock AI Potential | CEO & Founder | Top 10 Global Thought Leaders on AI, Predictive Analysis and…
Aldo Segnini

AI-Powered Digital Transformation Strategist | Empowering Executives with Data-Driven Insights | +25 Years of Proven…

1 What is AI and robotics feedback?

AI and robotics feedback is the information that you receive from artificial intelligence (AI) and robotic systems about the outcomes of your actions, decisions, or behaviors. AI and robotics feedback can be explicit, such as a verbal or visual message, or implicit, such as a change in the system's behavior or state. AI and robotics feedback can be positive, negative, or neutral, depending on whether it confirms, contradicts, or has no effect on your expectations.

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Ramkumar Manoharan

Co-Founder @ TensorKube | A.I Product Development | Knowledge Graph | Udacity
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From a niche technology just a few years ago, AI systems have transformed to become indispensable components of almost all Industrials processes. Having said that, now the signals feedback will be coming from these systems and this will fall into multiple categories such as below, Sensory Feedback: Robots often have sensors that allow them to interact with their environment. Performance Feedback: AI can also analyze a robot's performance and use this information to improve future performance. Interactive Feedback: AI can provide feedback to humans about a robot's performance or needs. For example, if a robot is low on battery, the AI could send a message to a human operator Other feedbacks include Predictive, Adaptive Feedback.

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2 Why is AI and robotics feedback important?

AI and robotics feedback is important because it can help you learn from your experiences, correct your mistakes, and adjust your strategies. AI and robotics feedback can also motivate you to keep trying, challenge yourself, and seek new opportunities. By using AI and robotics feedback, you can enhance your skills, knowledge, and confidence in working with AI and robotic systems.

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Ramkumar Manoharan

Co-Founder @ TensorKube | A.I Product Development | Knowledge Graph | Udacity
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Just like in reinforcement learning where a bot is trained with positive and negative feedback to near perfection, Humans can make use of AI and robotic feedback to improvise our actions and decisions to achieve a set of outcomes or streamline our strategy. This help to establish a synergic approach between A.I and Humans instead of having a competitive environment. Since the involvement of A.I is inevitable in this era and the future, we need to establish this feedback system between A.I and us. This will have a high impact in many industries as part of the Industry 4.0 concept, By providing feedback to human operators, these systems can communicate their status, needs, and any issues, enabling humans to intervene when necessary.

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3 How to collect AI and robotics feedback?

When collecting AI and robotics feedback, the type and purpose of the system should be taken into consideration. For example, one might monitor the system's performance, behavior, and status using sensors, indicators, or dashboards. Alternatively, one could ask the system for feedback using voice commands, buttons, or menus. Additionally, one might observe the system's reactions, expressions, or gestures using cameras, microphones, or speakers. Furthermore, one could review the system's logs, reports, or analytics using data visualization tools, charts, or graphs. Finally, one could test the system's functionality, reliability, or usability using scenarios, simulations, or experiments.

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Aldo Segnini

AI-Powered Digital Transformation Strategist | Empowering Executives with Data-Driven Insights | +25 Years of Proven Success in Implementing Tech Solutions | Startup Advisor | EaaS
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Collecting AI/robotics feedback involves various methods depending on the system's type/purpose. Monitoring the system's performance, behavior, and status through sensors, indicators, and dashboards is one approach. Alternatively, requesting feedback from the system using voice commands, buttons, or menus can be effective. Observation of the system's reactions is another option. Reviewing the system's logs, reports, or analytics with data visualization tools, charts, or graphs provides valuable insights. Finally, testing the system's functionality, reliability, or usability through scenarios, simulations, or experiments helps in gathering feedback for decision-making and improvement.

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4 How to interpret AI and robotics feedback?

Interpreting AI and robotics feedback can be challenging, especially when it is ambiguous, inconsistent, or conflicting. To effectively interpret the feedback, you should understand the system's goals, capabilities, and limitations. Additionally, it is important to compare the feedback with your own expectations, objectives, and criteria. Further, you should analyze the feedback for accuracy, relevance, and timeliness. Finally, it is essential to identify the causes and consequences of the feedback and evaluate its usefulness, validity, and reliability.

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Dr Djamila Amimer

Helping Businesses Unlock AI Potential | CEO & Founder | Top 10 Global Thought Leaders on AI, Predictive Analysis and Emerging Tech. | AI Speaker | AI Author| LinkedIn Top AI Voice
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It is important to analyse feedback and get the insights from it. The key factor is to determine if there are any reoccurring feedback & themes and patterns or of these are one off events. This will help prioritise tasks.

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5 How to act on AI and robotics feedback?

Acting on AI and robotics feedback is essential for making better decisions and enhancing your performance. To do this successfully, you should start by acknowledging the feedback and expressing your appreciation or concern. Then, take some time to reflect on the feedback and how it relates to your actions, decisions, or behaviors. Afterward, decide on the best course of action based on the feedback and your own judgment. Then, implement the action and monitor its results and effects. Finally, seek more feedback and repeat the process until you reach your desired outcome.

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Abou Ul Aala Ahsan

Senior Firmware Development & Embedded Systems Engineer | Innovator in High-Performance Technologies | Expert in System Integration and Debugging
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Acting on AI and robotics feedback is crucial for innovation, here are some of the things to consider. * Collect & categorize +, - and constructive, use analytics to extract insights * Prioritize based on impact & evaluate * Identify Root Causes using methods like root cause analysis, fishbone diagrams, & process flowcharts for issue identification. * Collaborate with multidisciplinary teams * Iterative Development * User-Centric Design * QA & Testing - Use it to refine tests & regressions * Documentation & Training - Provide clear instructions * Feedback Loop Closure - Communicate & demonstrate feedback is valued * Innovation & Development * Feedback Culture - Foster culture of acceptance and encourage open communication

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6 How to give AI and robotics feedback?

Giving AI and robotics feedback is essential for enhancing their performance, behavior, and status. To do this effectively, it’s important to be clear, specific, and constructive about what you want the system to do, change, or improve. Additionally, you should provide timely, frequent, and consistent feedback without delays, gaps, or contradictions. Respectful, supportive, and encouraging feedback should be given without criticism, blame, or punishment. Moreover, be responsive, interactive, and collaborative with your feedback by encouraging dialogue, questions, and suggestions. Finally, be adaptive, flexible, and creative with your feedback by adjusting it according to the system's needs, preferences, and context.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How do you use AI and robotics feedback to make better decisions?

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1 What is AI and robotics feedback?

2 Why is AI and robotics feedback important?

3 How to collect AI and robotics feedback?

4 How to interpret AI and robotics feedback?

5 How to act on AI and robotics feedback?

6 How to give AI and robotics feedback?

7 Here’s what else to consider

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How do you use AI and robotics feedback to make better decisions?

1

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5

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1 What is AI and robotics feedback?

2 Why is AI and robotics feedback important?

3 How to collect AI and robotics feedback?

4 How to interpret AI and robotics feedback?

5 How to act on AI and robotics feedback?

6 How to give AI and robotics feedback?

7 Here’s what else to consider

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