"Another strategy-- and this is like the classic engineering strategy-- is that, no, I'm like a serious engineer. And I'm going to sit here and think really, really hard. And I'm going to write a program. And it's going to be a great program. And I'm just going to put it straight in the robot's head. And it's going to go off, and it's going to be awesome and do everything it needs to do. And that strategy actually can work very well in certain kinds of problems. It lets that, the Boston dynamics robots do Parkour. But as we try to address bigger and more complicated problems, it becomes harder and harder for engineers to just straight up write the program."
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Computer scientists from the United StatesWomen academics from the United StatesStanford University alumniWomen scientists from the United StatesMassachusetts Institute of Technology faculty
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Leslie P. Kaelbling
Leslie Pack Kaelbling is an American roboticist and the Panasonic Professor of Computer Science and Engineering at the Massachusetts Institute of Technology. She is widely recognized for adapting partially observable Markov decision processes from operations research for application in artificial intelligence and robotics. Kaelbling received the IJCAI Computers and Thought Award in 1997 for applying reinforcement learning to embedded control systems and developing programming tools for robot nav
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