Plan generation is important in a number of agent applications, but such applications generally require elaborate domain models that include not only the definitions of the actions that an agent can perform in a given domain, but also information about the most effective ways to generate plans for the agent in that domain. Such models typically take a large amount of human effort to create. To ...

PURPOSE To prospectively compare two widely used seed implant techniques: pre-planning and intra-operative planning, based on 1 month post-implant CT-based evaluation. METHODS We report results of a detailed 1 month post-operative dosimetric evaluation and comparison between 142 consecutive men with prostate adenocarcinoma treated by the pre-planning methodology and 214 men treated with the r...

Low-level motion planning techniques must be combined with high-level task planning formalisms in order to generate realistic plans that can be carried out by humans and robots. Previous attempts to integrate these two planning formalisms mostly used either Classical Planning or HTN Planning. Recently, we developed Hierarchical Goal Networks (HGNs), a new hierarchical planning formalism that co...

Hierarchies are the most common structure used to understand the world better. In galaxies, for instance, multiple-star systems are organised in a hierarchical system. Then, governmental and company organisations are structured using a hierarchy, while the Internet, which is used on a daily basis, has a space of domain names arranged hierarchically. Since Artificial Intelligence (AI) planning p...

Think-aloud and pre-test data were collected from 49 undergraduates with varying levels of prior domain knowledge to examine the relationship between prior domain knowledge and self-regulated learning with hypermedia. During the experimental session, each participant individually completed a pretest on the circulatory system, and then one 40-min hypermedia learning task during which he or she l...

This paper presents the vision simulator, which is designed for simulating vision processing and task planning for smallsize humanoid, HSR-VII. Vision simulator under 3D environment is essential for developing motion planning and vision processing algorithm including foot step planning. In order to simulate gate generation and vision processing concurrently, the essential components such as wal...

The ability to plan for multi-step manipulation tasks in unseen situations is crucial future home robots. But collecting sufficient experience data end-to-end learning often infeasible the real world, as deploying robots many environments can be prohibitively expensive. On other hand, large-scale scene understanding datasets contain diverse and rich semantic geometric information. how leverage ...