Robots with similar capacity to the human one to circulate through crowded spaces
Robots with similar capacity to the human one to circulate through crowded spaces
Robots with similar capacity to the human one to circulate through crowded spaces
When we move through a crowd to reach a specific site, humans normally decide each of our movements in that space without hesitating too much or having to think much. We can learn from the behavior of others and realize the presence of any obstacle that needs to be avoided. Robots, on the other hand, have significant difficulties with such navigation concepts.
Researchers have now devised a way to help robots move through environments in a more human-like way. Its novel motion planning model allows robots to determine how to reach a goal by exploring the environment, observing other bodies in motion, and exploiting what they have learned in similar situations.
The breakthrough is the work of the team of Andrei Barbu and Boris Katz, from the Laboratory of Computer Science and Artificial Intelligence (CSAIL), attached to the Massachusetts Institute of Technology (MIT), in Cambridge, United States.
MIT researchers have devised a way to help robots circulate in environments similar to humans. (Image: MIT)
The most popular movement planning algorithms create a tree of possible decisions that branches out until the robot finds an appropriate route to reach the destination. A robot that needs to move around a room to reach a door, for example, will create a tree, step by step, to search for possible movements and then execute the best path to the door, considering the various impediments. One drawback, however, is that these algorithms rarely learn: robots can not take advantage of information about how they or others previously acted in similar environments.
The team of Barbu and Katz has developed a model that combines a planning algorithm with a neural network that learns to recognize paths that could lead to the best result, and uses that knowledge to guide the movement of the robot in an environment.
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