Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
— Probabilistic sampling-based motion planners are unable to detect when no feasible path exists. A common heuristic is to declare a query infeasible if a path is not found in a ...
Kris K. Hauser, Timothy Bretl, Jean-Claude Latombe
This paper describes one solution to the problem of how to select sequence, and link Web resources into a coherent, focused organization for instruction that addresses a user'...
Robert G. Farrell, Soyini D. Liburd, John C. Thoma...
To effectively generate a fast and consistent apartment construction project network, Hyundai and KAIST have developed a case and constraint based project planning expert system f...
Kyoung Jun Lee, Hyun Woo Kim, Jae Kyu Lee, Tae Hwa...
— The work presented in this paper addresses the problem of the stitching task in laparoscopic surgery using a circular needle and a conventional 4 DOFs needle-holder. This task ...
Florent Nageotte, Philippe Zanne, Michel de Mathel...