| 1 |
What is the primary objective of the robotic system discussed in the article?
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To perform high-precision assembly tasks. |
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The main objective of the robotic system discussed in the article is to perform high-precision assembly tasks as mentioned in the title. Additionally, it is also to have a robotic system that is capable to perform all kinds of task without failing. These goals and objectives suggest that the article stresses the importance of the risk of failure and high-precision in the assembly tasks. They even used human fingertips in their research to enhance precision. |
I got this idea from the title and also the main point of the research. The evidences, results, and the instruments used (such as fingertips of human) suggest that the paper wants a high precision robotic system. They also stresses on eliminating assembly failure. |
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| 2 |
What does the article say is a significant challenge in robotic assembly?
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Preventing assembly failures such as biting of shafts and holes. |
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The article mentions how the achieving high-precision assembly is a significant challenge in robotic assembly and is almost impossible. Furthermore, the main focus of this research is to prevent failures during assembly tasks. |
From the article, it mentions how they proposed a robotic system that are able to perform all task without failing, suggesting that the main challenges of this robotic assembly is the risk of fails. Additional the title mentions the achievement of high-precision, adding more to the finding of robots that are of high accuracy. |
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| 3 |
According to the article, what role do human fingertips play in the robotic system?
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Their sensitivity is mimicked to enhance the robot's precision. |
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The role of human fingertips play in the robotic system is for the measurement of the magnitude and direction of the force applied, or basically to be used as a model for the design of sensors on the robot. By replicating the human fingertips force and motion, robot can achieve similar accuracy in performing their tsk. |
I got this answer from the second point of the article: Assembly task analysis system. This part of the article mentions how human fingertip is used for measuring the pushing force and to achieve high-precision assembly by robots. |
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| 4 |
What method is used to avoid failures in the assembly process?
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Measuring tactile force information. |
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The success and failure in the assembly process is predicted by measuring the tactile force information, analyzing the data, and extracting signs of assembly failure. Through these methods, the assembly process is able to avoid failures. |
Measuring Tactile Force information is one of the method to avoid failures. Meanwhile, the other choices doesn't relate to how it can measure failures and reduce the risk of failures in the assembly process. Through measuring tactile force information, it can predict and avoid failures. This method is also mentioned in the article on the introduction paragraph. |
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| 5 |
What is the result of successfully integrating the discussed technologies into robotics?
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Lower production costs. |
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The paper discussed how through the proposed robotic system, it can overcome challenges like high installation cost, setup difficulties for particular products, and inability to automate assembly tasks. With the success of integrating the discussed technologies into robotics, it will be able to lower the cost of production as they are able to creating more product. |
I got this answer through the list of challenges mention in the abstract part of the article. Then I come to a conclusion with how a lower failures in the system will cause high production in products, resulting in lower cost of the production. |
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| 6 |
Which device is used to measure motion in the robotic system?
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Potentiometer |
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The motion measurement device consists of 6 connected links and the rotational angle of each link is measured by a potentiometer. This suggest that the potentiometer is used to measure motion in the robotic system. |
I used the process of elimination by eliminating device that are not mentioned in the article. |
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| 7 |
How is the force measurement device structured?
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By placing sensors on a hexagonal holder. |
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The force measurement as mentioned in the article is structured by placing on a hexagonal holder. It is used to accurately measure the magnitude and direction of the force applied with the fingertips. The pressure sensor is located on the three sides of the hexagonal holder to measure the finger forces, index finger, medius finger, and thumb. |
I drew this conclusion from the details from the text and also from the figure 3 on the article. In the fig. 3, it shows a drawing of the model that is shaped like a hexagon and is used to measure force from the fingertips. |
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| 8 |
What is the ultimate goal of the research discussed in the article?
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To ensure robots never fail at assembly tasks. |
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As discussed before, the main goal of this research is to find and propose a robot that never fail at assembly task. This goal is also a major challenge from this article. Through this research, they also want a robotic system that is able to perform tasks with high precision. |
I drew this conclusion from the main focus of the text and through the introduction from the article. I identify the main challenge and also the goal of this paper, which is to find a robot that is able to perform with little to no failures. |
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| 9 |
What specific problem does the force measurement address?
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The weight of the assembled parts. |
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Weight of the assembly part is a problem for force measurement. This is why there is a parallel link mechanism prevents any extra weight from being added to the force measurement. Extra weight on the force measurement can cause inaccurate measurement and a failures. |
I got this answer from 2.2.1 Device structure where it mentions the use of parallel link mechanism to prevent extra weight from interfering the force measurement. |
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| 10 |
What innovation does the motion measurement device bring to robotic assembly?
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It measures the exact angles and positions of parts during assembly. |
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Motion measurement, as seen in the name, is used to measure the exact angles and position of parts during assembly. It calculate the joint angles of the robotic arm. It is important to see how the workpiece is moved before putting on the gears and all the other steps. |
I came to this answer from 2.2 Motion measurement device where it mentions the motions and the calculation of the angles on the robotic structure. It also mentions the importance of motion measurement device on the robotic assembly. |
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| 11 |
What does ML stand for in the context of the article?
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Machine Learning |
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ML stands for machine learning as the whole context of the article focus on machine learning. |
Machine Learning is the focus or main point of the article, therefore the abbreviation of ML must stands for machine learning. |
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| 12 |
What is QSAR as mentioned in the article?
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Quantitative Structure-Activity Relationship |
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QSAR stands for Quantitative Structure-Activity Relationship, or a field that is a necessary component of numerous drug discovery project. |
I got this answer from the introduction paragraph, which introduces the use of ML an the field called QSAR or Quantitative Structure-Activity Relationship. |
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| 13 |
What is the main benefit of machine learning in drug discovery according to the article?
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Speeding up the decision-making process |
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The main benefit of machine learning in drug discovery is to speed up the decision-making process. As mentioned in the text, ML is able to make better decisions faster and accelerate the DMTA. This is also the main goal of ML. |
I chose this answer based on the text on the first page, where it mentions the benefit of ML and how it is able to make better decisions faster. |
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| 14 |
According to the article, which of these is a focus in academia that differs from industry?
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Developing proofs-of-concept |
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Academia main focus is on developing proofs-of-concept, such as advancing algorithms and generating knowledge. It typically focus on making new discovery and borrowing inspirations to develop new ideas. Meanwhile, industry is focus on the final model application. |
I got this answer from both the introduction and the table of the differences between industry and academia on page 8. It shows how academia focus on theory, while industry focus on final application. |
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| 15 |
Which organization is mentioned as being involved in fundamental ML and AI research in the article?
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Pharmaceutical industry |
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As ML and AI is used in drug discovery, this is closely related to pharmaceutical industry as they are an industry that produce drugs and other medicines. Additional, the paper also mentions pharmaceutical industry multiple times and how they are key for progressing in the field of molecular ML. |
I got this answer from the main points of this article and also by relating drugs and medicine to the pharmaceutical industry. |
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| 16 |
What does DMTA stand for as used in the article?
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Design-Make-Test-Analyze |
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DMA stands for Design-Make-Test-Analyze, relating to ML and how it accelerate the DMTA cycle of novel molecular entities. |
I got this answer from the introduction paragraph, where it introduces all this new concept and the benefits of ML, including the acceleration of DMTA. |
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| 17 |
Which aspect of machine learning models is highlighted as particularly important in the pharmaceutical industry?
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Model reproducibility and robustness |
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In pharmaceutical industry, driving decision-making, model reproducibility, confidence, and robustness are one of the most importance factor. |
I got this answer from the first paragraph where it mentions the factor that are importance in the pharmaceutical industry. |
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| 18 |
What type of data does the article mention as increasingly available to the public?
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Machine learning training sets |
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As the technology continue to improve, there will be more data on ML training sets available to the public as there are more research and advancement and finding on these information. |
I got this answer from my understanding of how the world will advance in the near future, focusing on technology. |
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| 19 |
Which data set is mentioned as a benchmark for molecular machine learning?
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GuacaMol |
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GuacaMol is the only data set mentioned in the benchmark for molecular mahcine learning. |
I received this answer from the introduction paragraph, where it mentions the existing benchmark, including GuacaMOl and FS-Mol. |
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| 20 |
What challenge is associated with data sets from different sources, as discussed in the article?
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Increased heterogeneity |
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To increase data set size, public data are generally pooled from multiple sources, which in turn increases heterogeneity |
Through different sources, it can increase the heterogeneity or the difference, and not homogeneity or oneness. I got this answer from the paper, where it mentions on how to increase data sets and size, reducing bias and error. |
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