CE #3
Brian Sherpa
Digital Design
2/3 Period
10/1/18
As we know robots struggle with navigation on their own. MIT researchers have now devised a way to help robots navigate environments more like humans do. Their novel motion-planning model lets robots determine how to reach a goal by exploring the environment, observing other agents, and exploiting what they’ve learned before in similar situations.Popular motion-planning algorithms will create a tree of possible decisions that branches out until it finds good paths for navigation. A robot that needs to navigate a room to reach a door, for instance, will create a step-by-step search tree of possible movements and then execute the best path to the door, considering various constraints. One drawback, however, is these algorithms rarely learn: Robots can’t leverage information about how they or other agents acted previously in similar environments.
In my opinion I find this article interesting because it talks about robots being able to navigate which to me seems like a big thing. Many people believe that in the future there were going to be robots taking over, flying cars, etc. but these robots cannot function as humans can. They are only built off from information and instructions the creator has installed. The robot cannot do it's own thing, and I believe a problem for this model would be that even though it might be able to navigate the robots, will the robots have restrictions as to it's navigation path. Will the robots cause trouble for the people ? But overall I think it's a great idea that they had invented a model that basically makes robots and humans similar.
http://news.mit.edu/2018/model-helps-robots-navigate-like-humans-1004
Digital Design
2/3 Period
10/1/18
As we know robots struggle with navigation on their own. MIT researchers have now devised a way to help robots navigate environments more like humans do. Their novel motion-planning model lets robots determine how to reach a goal by exploring the environment, observing other agents, and exploiting what they’ve learned before in similar situations.Popular motion-planning algorithms will create a tree of possible decisions that branches out until it finds good paths for navigation. A robot that needs to navigate a room to reach a door, for instance, will create a step-by-step search tree of possible movements and then execute the best path to the door, considering various constraints. One drawback, however, is these algorithms rarely learn: Robots can’t leverage information about how they or other agents acted previously in similar environments.
In my opinion I find this article interesting because it talks about robots being able to navigate which to me seems like a big thing. Many people believe that in the future there were going to be robots taking over, flying cars, etc. but these robots cannot function as humans can. They are only built off from information and instructions the creator has installed. The robot cannot do it's own thing, and I believe a problem for this model would be that even though it might be able to navigate the robots, will the robots have restrictions as to it's navigation path. Will the robots cause trouble for the people ? But overall I think it's a great idea that they had invented a model that basically makes robots and humans similar.
http://news.mit.edu/2018/model-helps-robots-navigate-like-humans-1004
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