阅读理解Humans have a way of understanding others' goals, desires and beliefs, a crucial skill that allows us to anticipate people's actions. Taking bread out of the toaster? You'll need a plate. Sweeping up leaves? You'll grab the green trash can. This skill, often referred to as "theory of mind", comes easily to us as humans, but for robots it still has a high mountain to conquer. In a recent study, computer science researchers made the robot "watch" the human complete the task using a camera placed directly above the assembly(组装)area, looking down. To detect the parts operated by the human, the system used AprilTags, similar to QR codes, attached to the parts. Then, the system used machine learning to learn a person's preference based on their orders of actions in the task. "Based on how a person performs the small assembly, the robot predicts what that person will do in the larger assembly," said Nemlekar. "For example, if the robot sees that a person likes to start the small assembly with the easiest part, it will predict that they will start with the easiest part in the large assembly as well. "In the researchers' user study, their system was able to predict the actions that humans will take with around 82% accuracy. "We hope that our research can make it easier for people to show robots what they prefer," said Nemlekar. "By helping each person in their preferred way, robots can reduce their work, save time and even build trust with them. "Thistechnology could also be useful in industrial settings where workers are tasked with assembling products in large numbers, saving time and reducing the risk of injury or accidents. Additionally, it could help persons with disabilities to more easily assemble products and maintain independence. "Our goal is not to replace humans on the factory floor. I expect similar findings in other applications as well, "said Nikolaidis. "A robot that can quickly learn our preferences can help us prepare a meal, rearrange furniture or do house repairs, having a significant impact on our daily lives. "
(1)
What does the underlined part mean in Paragraph 1?
A . It's refreshing.
B . It's challenging.
C . It's unachievable.
D . It's ridiculous.
(2)
What do researchers want to "teach" robots to do in assembly tasks?
A . To predict human preferences.
B . To get the tasks finished easily.
C . To think on their own.
D . To avoid human errors.
(3)
What can we learn about the robots from the last two paragraphs?
A . They can replace humans.
B . They've been widely used.
C . They've improved their accuracy.
D . They can do good to the disabled.
(4)
Where can the text probably be found?
A . In a lab guidebook.
B . In a computer textbook.
C . In a science newspaper.
D . In an academic paper.
答案: B
A
D
C