TY - GEN
T1 - Continuous categories for a mobile robot
AU - Rosenstein, Michael T.
AU - Cohen, Paul R.
PY - 1999
Y1 - 1999
N2 - Autonomous agents make frequent use of knowledge in the form of categories - categories of objects, human gestures, web pages, and so on. This paper describes a way for agents to learn such categories for themselves through interaction with the environment. In particular, the learning algorithm transforms raw sensor readings into clusters of time series that have predictive value to the agent. We address several issues related to the use of an uninterpreted sensory apparatus and show specific examples where a Pioneer 1 mobile robot interacts with objects in a cluttered laboratory setting.
AB - Autonomous agents make frequent use of knowledge in the form of categories - categories of objects, human gestures, web pages, and so on. This paper describes a way for agents to learn such categories for themselves through interaction with the environment. In particular, the learning algorithm transforms raw sensor readings into clusters of time series that have predictive value to the agent. We address several issues related to the use of an uninterpreted sensory apparatus and show specific examples where a Pioneer 1 mobile robot interacts with objects in a cluttered laboratory setting.
UR - http://www.scopus.com/inward/record.url?scp=0032596414&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0032596414&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0032596414
SN - 0262511061
T3 - Proceedings of the National Conference on Artificial Intelligence
SP - 634
EP - 640
BT - Proceedings of the National Conference on Artificial Intelligence
PB - AAAI
T2 - Proceedings of the 1999 16th National Conference on Artificial Intelligence (AAAI-99), 11th Innovative Applications of Artificial Intelligence Conference (IAAI-99)
Y2 - 18 July 1999 through 22 July 1999
ER -