Ingrid Moerman, iMinds - UGent, iMinds The Conference 2013
AI I: problem solving and search. Pag. 2 AI 1 Outline Problem-solving agents –A kind of goal-based agent Problem types –Single state (fully observable)
Micro air vehicles
Stochastic Hybrid system model for collective transport in desert ant A.cockerelli
InTech-Mobile Wireless Sensor Networks Architects for Pervasive Computing
AI I: problem-solving and search. 2 Outline Problem-solving agents –A kind of goal-based agent Problem types –Single state (fully observable) –Search.
The MU Mites Robot Team Marjorie Skubic Derek Anderson Srikanth Kavirayani Mohammed Khalilia Benjamin Shelton Computational Intelligence Research Lab University.
City College of New York 1 Dr. John (Jizhong) Xiao Department of Electrical Engineering City College of New York [email protected] Course Summary Introduction.
1/22 Robot Formations Using Only Local Sensing And Control Jakob Fredslund, Maja J Mataric {jakobf, maja}@robotics.usc.edu Interaction Lab, University.
The City College of New York 1 Dr. John (Jizhong) Xiao Department of Electrical Engineering City College of New York [email protected] Mobile Robot Mapping.
CPSC 7373: Artificial Intelligence Lecture 9: Planning
Panel: Prototyping and Building Systems Four Rants on Privacy and Ubicomp Jason I. Hong jasonh at cs cmu edu Intel Usable Privacy Forum.