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Single-car diesel train Kawasaki Heavy Industries

13.08.2021

Japanese Kawasaki Heavy Industries has created a single-car diesel train, which in the future is planned to be adapted for hybrid traction with a battery.

The DEC700 series diesel train prototype was developed for the Japanese passenger carrier JR West. This month JR West plans to conduct its dynamic tests.

Currently, the train is tested only with a diesel engine, but next year it is scheduled to be tested with lithium-ion storage units with a capacity of 15,2 kWh.

The DEC700 series car with a length of 20 meters can accommodate up to 90 passengers, in the future it should replace the diesel trains of the KiHa40 series, produced in 1977-1983 by Japanese Fuji Heavy Industries (now Subaru) and Niigata Tekko.

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The robot anticipates human actions 04.06.2013

The robot, developed at the Cornell Robotics Lab, could be the perfect assistant: it doesn't need to be told to "open the fridge, I'll put a plate in" or "add more beer." Surprisingly, the robot itself is able to assess the situation and act proactively, "kindly" warning all human intentions.

This is indeed a great achievement, since it was previously difficult to take into account the many variables that arise when a person, for example, gets up from the table with a plate of food and intentions incomprehensible to the robot. Nevertheless, engineers from Cornell University managed to solve this problem: now it is enough to silently hint at your desire, and the robot is in a hurry to fulfill it.

The robot is equipped with manipulator arms and a wheeled chassis that provides freedom of movement on a flat surface. The robot's "eyes" are a Microsoft Kinect stereo camera that uses a video database of typical human movements. For example, a robot analyzes how a person interacts with objects on a table. If a person pours a drink from a bottle into a mug and then brings it to his mouth, the robot understands that his owner is drinking and the empty mug needs to be periodically filled. In the same way, the robot “understands” that after the owner has poured cereal and milk into the plate, the food bags can be put back.

The essence of forecasting technology is to choose the most probable scenario. When any movement begins, for example, the owner with a plate in his hands gets up from the table, the robot begins to analyze the possible trajectories of the owner’s movement and, accordingly, his intentions. If the owner goes to the refrigerator, the robot opens the door; if the owner goes to the sink, it turns on the water, gives a towel, etc.

During the experiments, the robot made correct predictions of human intentions 82% of the time 1 second ahead, 71% of the time 3 seconds ahead, and 57% of the time 10 seconds ahead. This is not as small as it seems, because we do not perform actions instantly. For example, if the path to the refrigerator takes 10 seconds, then the robot will have 1 second to understand our intention and as many as 9 seconds to drive up to the refrigerator and open the door, that is, wait for the robot to be "courtesy" while standing with a pot of soup in its hands, it won't take long.

Of course, initially the robot must be taught and not expected from him "understanding" on the first day of operation. But our home activities are not so diverse, so a couple of months can be spent on training. But then you will have a real caring and tireless robot servant, literally predicting every action of the household. Such robots in 5-10 years will be able to provide serious assistance to people with disabilities and just those who are exhausted from household chores. The robot itself should not be very expensive, because its "brain" is actually made from a game console, and its "body" is even simpler than a Segway electric scooter. Of course, some safety systems will need to be added to protect the robot from falls, collisions with people and prevent dangerous movements by manipulators, but similar systems have already been developed for industrial worker robots.

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