Abstract This paper proposes a robotic manipulation task relaxation method applied to and motion planning framework adapted from the literature. The consists of defining regions interest instead end-effector pose, which can potentially increase robot’s redundancy with respect task. Tasks are relaxed by controlling distance target plane while respecting suitable constraints in task-space. We for...

Considering the benefits of preparation for writing in the pre-writing phase, this study attempted to examine the effects of different pre-task strategic planning activities (i.e., pre-task form-focus planning, content-focus planning, and no planning) on writing accuracy and motivation. To achieve the objectives of this study, sixty intermediate EFL learners were selected from an English langua...

This study aimed at examining the main and interaction effects of increased intentional reasoning demands, planning time, and also language learning aptitude on syntactic complexity, accuracy, lexical complexity, and fluency (CALF) of 226 EFL learners’ performance on letter writing tasks. The participants were first randomly assigned to three experimental groups to be given a task with differin...

this paper aims to discuss the requirements of safe and smooth trajectory planning of transporter mobile robots to perform non-prehensile object manipulation task. in non-prehensile approach, the robot and the object must keep their grasp-less contact during manipulation task. to this end, dynamic grasp concept is employed for a box manipulation task and corresponding conditions are obtained an...

Following previous studies reporting a beneficial effect for pre-task planning on learners' task performance, the present research takes into account the possible effects of directing learners' attention to meaning and form of language on their written production while they have one- and five-minute strategic planning time. The study randomly categorized 48 intermediate learners of English into...

One drawback of Hierarchical Task Network (HTN) planning is the difficulty of providing complete domain knowledge, i.e., a complete and correct set of HTN methods for every task. To provide a principled way to overcome this difficulty, we define a simple formalism that extends classical planning to include problem decomposition using methods, and a planning algorithm based on this formalism. In...

This paper proposes a goal recognition and planning algorithm, HTN-GRP-PO, to enable intelligent assistant agents to recognize older adults’ goals and reason about desired further steps. It will be used in a larger system aimed to help older adults with cognitive impairments to accomplish activities of daily living independently. The algorithm addresses issues including partial observability du...

The latest world-championship competition for computer bridge programs was the Baron Barclay World Bridge Computer Challenge, hosted in July 1997 by the American Contract Bridge League. As reported in The New York Times and The Washington Post, the competition’s winner was a new version of Great Game Products’ Bridge Baron program. This version, Bridge Baron 8, has since gone on the market; and...

Detecting interactions and resolving conflicts is one of the key issues for generative planning systems. Hierarchical Task Network (HTN) planning systems use critics for this purpose. Critics have provided extra efficiency and flexibility to HTN planning systems, but their procedural –and sometimes domain-specific – nature has not been amenable to analytical studies. As a result, little work is...