2026-09-19T06:49:00Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/310792026-06-05T20:27:14Zcom_1721.1_7582com_1721.1_7581col_1721.1_131024
Justine Cassell.
Chang, Joey, 1975-
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-02-02T18:45:48Z
2006-02-02T18:45:48Z
1998
1998
http://hdl.handle.net/1721.1/31079
42279293
Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
Includes bibliographical references (leaf 40).
This paper presents an approach to action scheduling in lifelike humanoid agents. The action scheduler constitutes a module in the agent which links the mental processes to the physical actions of the agent. It receives requests from the agent's behavior generating modules and schedules them to be executed at the appropriate time, handling such tasks as speech-to-action synchronization, concurrent and overlapping behavior blending, and behavior conflict resolution. The optimal approach to action scheduling will vary from system to system, depending upon the characteristics of the system, since the ultimate action scheduler would accommodate a fully functional human representation-a goal which is out of the scope of research today. This paper presents an action scheduler for a real-time three-dimensional multi-modal humanoid agent.
by Joey Chang.
S.B.
M.Eng.
40 leaves
1800900 bytes
1803551 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science
Action scheduling in humanoid conversational agents
Turn-taking in multi-participant conversation
Thesis
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