Cognitive Neurorobotics Research Unit (Jun Tani)
The cognitive neurorobotics research unit focuses on understanding brain-based mechanisms for cognition and action by conducting synthetic brain modeling studies with using robotics experiment platforms. The essential questions include how compositionality and systematicity in cognition and actions can be developed via consolidative learning of behavioral experiences, how novel actions and thoughts can be generated with “free will”, how social cognition with reading others’ minds can be developed to support spontaneous generation of cooperative behaviors with others. By investigating these questions seriously, the long-term research goal of the lab would be to “educate” robots with artificial brains to attain general intelligence in developmental manners by scaffolding with internally available cognitive resources and externally available social resources for a long period.
See details at http://neurorobot.kaist.ac.kr/tani.htm.
We are looking for postdoctoral scholars or stuff scientists who are interested in studying toward the above research goals collaboratively in our unit. We specifically invite applicants to the following research topics:
- Studies of various types of robot learning using recurrent neural network (RNN) models based on the idea of predictive coding. This could include more theoretical studies on deterministic and probabilistic learning in predictive coding type RNN models.
- An extension of (1) to developmental robotics with focusing on the problem of generalization through stages of development.
- An extension of (1) to social cognitive robotics with focusing on the problem of “theory of mind” under experiment setup in human-robot interactions or robot to robot interaction. In addition, subjective experience including consciousness and free will in human subjects will be examined especially in the “human in robot-loop” setting.
- Study on development of general intelligence by modeling the higher-order cognitive brain mechanism of using working memory effectively under the principle of predictive coding with using RNN models.
Applicants should send a CV and research statement to tani1216jp “at” gmail.com with the header
Research Position at Cognitive Neurorobotics Research Unit, OIST.