Robot Cars to Do Battle in Desert Race When 15 competitors lined up in Nevada last year for the US Defense Department’s first million-dollar robot race, hopes were high. The challenge: to drive a vehicle without a human driver or remote control some 150 miles (241 kilometers) through the Mojave Desert. But those hopes quickly went up in a cloud of dust as most robots barely managed to get off the starting line. The best performer, a modified Humvee built by engineers at Pennsylvania’s Carnegie Mellon University, traveled 7 miles (11 kilometers) before breaking down. To robot devotees(热爱者), however, it was a minor problem. No surprise, then, that 43 teams showed up to try out for this year’s race, dubbed(被称作) the Grand Challenge. For the past week, teams ranging from garage enthusiasts to well-funded university engineers have been fine-tuning their machines at qualifying rounds here at the California Speedway in Fontana, California. (Watch the robots in action in our exclusive video. ) Twenty-three finalists were announced Thursday for Saturday’s Grand Challenge. The 175-mile (282-kilometer) course starts and finishes in Primm, Nevada. The race promises to be even tougher than last year’s run. But 18 months is an eternity in the robotics world, and the technology has vastly improved. Organizers believe several teams have a real shot of finishing the race in less than ten hours to earn the grand prize of two million US dollars. "When the first team out of the chute (斜道)--Mojavaton, a small team out of Colorado--made it successfully around the 2.2-mile (3.5-kilometer) qualification course, I "knew right there and then that we had something special," said Ron Kurjanowicz, the chief of staff for the Pentagon’s Defense Advanced Research Projects Agency (DARPA), which is sponsoring the race. Unknown Course The aim of the Grand Challenge, Defense Department officials say, is to spur development of autonomous ground vehicles that can operate in dangerous environments, such as war zones, keeping soldiers out of harm’s way. A US Congress mandate(训令) requires that one-third of military ground vehicles drive themselves by 2015, but the technology to meet that mandate does not yet exist. So the government looked to enterprising teams to develop the technology for driverless vehicles, sweetening its offer with the two-million-dollar purse. None of the 23 teams knows what lies ahead for this year’s race. DARPA won’t reveal the exact route until two hours before the start of the race on Saturday. But the obstacles on the Fontana qualification course--including a steel-enforced tunnel that wipes out a vehicle’s global positioning system--are made to resemble the rugged, real-life conditions that the vehicles will have to navigate. The vehicles use sensors such as lasers, cameras, and radar to help them avoid obstacles such as rocks and cliffs. The computer’s brain has to figure out how to resolve unexpected conflicts, like a boulder sitting in the middle of the road. "Think about all the decisions that you and I have to make when we drive from our house to the store," Kurjanowicz said. "These vehicles have to do the same thing, without a driver. " Among the top contenders in Saturday’s race is TerraMax, a massive truck originally built by the Wisconsin-based Oshkosh Truck Corporation for the US Marine corps. In last year’s race, TerraMax managed to go only 1.2 miles (2 kilometers). Team leader Gary Schmiedel expects to do much better this year. He pointed to the new all-wheel steering feature on the truck as an important addition. "We can move this large, 15-ton (13. 5-metric ton) payload vehicle in a turn that’s equivalent to that of a Humvee," he said. Ghostrider The resources of teams like Terra Max or Carnegie Mellon University, which has two vehicles in the race this year, are a far cry from those of some of the other competitors, including inventors, electricians, and even a high school team. One entry, from a Southern California team of engineers, racers, and hot-rodders, is called It Came from the Garage. It has a beer keg(小桶) stuck on the back and an on-off switch that says "brain". "Most of the schools and organizations we’re up against are just accessorizing conventional vehicles," said team leader Chris "C. J. " Pedersen, a former actor. "Ours is a custom-built, 21st-century hot rod complete with hood scoop and exhaust coming off the side. " Anthony Levandowski, a robotics builder from Berkeley, California, is back with Ghostrider, the only motorcycle robot in the qualifications. Studded with sensors and computers, it toppled(翻倒) over after 3 feet (1 meter) in last year’s race. Levandowski, who had to postpone his graduate studies when he couldn’t find a faculty advisor who believed it would be possible to build the motorcycle robot, says his vehicle has some distinct advantages. "We’re smaller and go a lot more places," he said while tinkering with the robot before another trial run. "We’re also a lot less expensive. This bike costs as much as a tire or a wheel of some of these other guys’ machines. " Smart Money Neither Ghostrider nor It Came from the Garage made the final cut at this week’s qualifying races. However, another crowd-pleaser, Cajunbot--or the Ragin’s Cajun--a converted all-terrain vehicle developed by a team from the University of Louisiana in Lafayette, did. Thesmart money in Saturday’s race may be on Stanley, a converted Volkswagen Touareg made by a team at California’s Stanford University. It was the only vehicle that didn’t hit an obstacle in the trial runs. Even if none of the vehicles finishes the race this year, DARPA’s Kurjanowicz said, the event has succeeded in galvanizing robotics developers and pushing the creation of new technologies. "The beauty of the Grand Challenge is that it doesn’t tell people how to solve the problem," he said. "The community has come up with its own elegant solutions. \ The Pentagon’s Defense Advanced Research Projects Agency (DARPA) is sponsoring the race.
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Many students find the experience of attending university lectures to be a confusing and frustrating experience. The lecturer speaks for one or two hours, perhaps (67) the talk with slides, writing up important information on the blackboard, (68) reading material and giving out (69) . The new student sees the other students continuously writing on notebooks and (70) what to write. Very often the student leaves the lecture (71) notes which do not catch the main points and (72) become hard even for the (73) to understand. Most institutions provide courses which (74) new students to develop the skills they need to be (75) listeners and note-takers. (76) these are unavailable, there are many useful study-skills guides which (77) learners to practice these skills (78) . In all cases it is important to (79) the problem (80) actually starting your studies. It is important t (81) that most students have difficulty in acquiring the language skills (82) in college study. One way of (83) these difficulties is to attend the language ,and study-skills classes which most institutions provide throughout the (84) year. Another basic (85) is to find a study partner. (86) it is possible to identify difficulties, exchange ideas and provide support.
A. statement B. strategy C. situation D. suggestion
在Excel中,假定一个单元格所保存的公式为“=13*2+7”,则当该单元格处于非编辑状态时显示的内容______。
阅读下列文段,完成下面两个小题: 我们现在所说的语文,就是语言和文字,或曰文字语言。文字语言是在手势语和口头语言的基础上发展起来的,一开始是手势语和口头语的代用品,但文字本身就有巨大的潜能,是口头语和手势语根本不可能具有的。很难想像,曹雪芹的《红楼梦》、马克思的《资本论》这样一些文学艺术和社会科学的著作会只在口头语言形式下产生出来。文字,把语言变得更严密也更细致,同时使人的思想和感情也变得更严密更细致,在我们,常常有一种幻觉,似乎人原本是有严密的思想和细致的感情的,只是有了文字,我们才能够表达它们,实际上,这种看法是有很大片面性的,与其说我们先有了严密的思想和细致的感情然后才有了严密细致的语言,倒不如说先有了文字语言的严密和细致化的巨大潜能,我们的思想感情才变得严密细致起来。常读文学作品的人感情要比一般人丰富细腻,常读科学著作的人要比一般人的思想严密、有逻辑性,就是因为一个人的思想感情并非完全自生的,是由他掌握的语言的特点塑造而成的。人有了更细致、更严密的感情和思想,才会用更细致、更严密的感情和思想感受世界和改造世界。也就是说,语言改造了人也改造了世界,语言的作用是无比巨大的。当然,这里说的仍是广义的语言,但语文无疑是这广义的语言中的主要组成部分。因为迄今为止的人类社会,文字语言仍是整个人类社会思想感情的主要交流方式。 文段中加点的“这种看法”指的是什么正确的一项是( )
A. 文字,把语言变得更加严密也更加细致
B. 文字,使人的思想和感情变得更严密更细致
C. 先有严密的思想和细致的感情,然后才有严密细致的语言
D. 先有文字语言的严密和细致化的巨大潜能,思想感情才变得严密细致起来
Robot Cars to Do Battle in Desert Race When 15 competitors lined up in Nevada last year for the US Defense Department’s first million-dollar robot race, hopes were high. The challenge: to drive a vehicle without a human driver or remote control some 150 miles (241 kilometers) through the Mojave Desert. But those hopes quickly went up in a cloud of dust as most robots barely managed to get off the starting line. The best performer, a modified Humvee built by engineers at Pennsylvania’s Carnegie Mellon University, traveled 7 miles (11 kilometers) before breaking down. To robot devotees(热爱者), however, it was a minor problem. No surprise, then, that 43 teams showed up to try out for this year’s race, dubbed(被称作) the Grand Challenge. For the past week, teams ranging from garage enthusiasts to well-funded university engineers have been fine-tuning their machines at qualifying rounds here at the California Speedway in Fontana, California. (Watch the robots in action in our exclusive video. ) Twenty-three finalists were announced Thursday for Saturday’s Grand Challenge. The 175-mile (282-kilometer) course starts and finishes in Primm, Nevada. The race promises to be even tougher than last year’s run. But 18 months is an eternity in the robotics world, and the technology has vastly improved. Organizers believe several teams have a real shot of finishing the race in less than ten hours to earn the grand prize of two million US dollars. "When the first team out of the chute (斜道)--Mojavaton, a small team out of Colorado--made it successfully around the 2.2-mile (3.5-kilometer) qualification course, I "knew right there and then that we had something special," said Ron Kurjanowicz, the chief of staff for the Pentagon’s Defense Advanced Research Projects Agency (DARPA), which is sponsoring the race. Unknown Course The aim of the Grand Challenge, Defense Department officials say, is to spur development of autonomous ground vehicles that can operate in dangerous environments, such as war zones, keeping soldiers out of harm’s way. A US Congress mandate(训令) requires that one-third of military ground vehicles drive themselves by 2015, but the technology to meet that mandate does not yet exist. So the government looked to enterprising teams to develop the technology for driverless vehicles, sweetening its offer with the two-million-dollar purse. None of the 23 teams knows what lies ahead for this year’s race. DARPA won’t reveal the exact route until two hours before the start of the race on Saturday. But the obstacles on the Fontana qualification course--including a steel-enforced tunnel that wipes out a vehicle’s global positioning system--are made to resemble the rugged, real-life conditions that the vehicles will have to navigate. The vehicles use sensors such as lasers, cameras, and radar to help them avoid obstacles such as rocks and cliffs. The computer’s brain has to figure out how to resolve unexpected conflicts, like a boulder sitting in the middle of the road. "Think about all the decisions that you and I have to make when we drive from our house to the store," Kurjanowicz said. "These vehicles have to do the same thing, without a driver. " Among the top contenders in Saturday’s race is TerraMax, a massive truck originally built by the Wisconsin-based Oshkosh Truck Corporation for the US Marine corps. In last year’s race, TerraMax managed to go only 1.2 miles (2 kilometers). Team leader Gary Schmiedel expects to do much better this year. He pointed to the new all-wheel steering feature on the truck as an important addition. "We can move this large, 15-ton (13. 5-metric ton) payload vehicle in a turn that’s equivalent to that of a Humvee," he said. Ghostrider The resources of teams like Terra Max or Carnegie Mellon University, which has two vehicles in the race this year, are a far cry from those of some of the other competitors, including inventors, electricians, and even a high school team. One entry, from a Southern California team of engineers, racers, and hot-rodders, is called It Came from the Garage. It has a beer keg(小桶) stuck on the back and an on-off switch that says "brain". "Most of the schools and organizations we’re up against are just accessorizing conventional vehicles," said team leader Chris "C. J. " Pedersen, a former actor. "Ours is a custom-built, 21st-century hot rod complete with hood scoop and exhaust coming off the side. " Anthony Levandowski, a robotics builder from Berkeley, California, is back with Ghostrider, the only motorcycle robot in the qualifications. Studded with sensors and computers, it toppled(翻倒) over after 3 feet (1 meter) in last year’s race. Levandowski, who had to postpone his graduate studies when he couldn’t find a faculty advisor who believed it would be possible to build the motorcycle robot, says his vehicle has some distinct advantages. "We’re smaller and go a lot more places," he said while tinkering with the robot before another trial run. "We’re also a lot less expensive. This bike costs as much as a tire or a wheel of some of these other guys’ machines. " Smart Money Neither Ghostrider nor It Came from the Garage made the final cut at this week’s qualifying races. However, another crowd-pleaser, Cajunbot--or the Ragin’s Cajun--a converted all-terrain vehicle developed by a team from the University of Louisiana in Lafayette, did. Thesmart money in Saturday’s race may be on Stanley, a converted Volkswagen Touareg made by a team at California’s Stanford University. It was the only vehicle that didn’t hit an obstacle in the trial runs. Even if none of the vehicles finishes the race this year, DARPA’s Kurjanowicz said, the event has succeeded in galvanizing robotics developers and pushing the creation of new technologies. "The beauty of the Grand Challenge is that it doesn’t tell people how to solve the problem," he said. "The community has come up with its own elegant solutions. \ Last year’s robot race in Nevada was a great success.