This paper addresses adaptive, on-line path planning of an autonomous underwater vehicle and presents a GA-based method for it. It is an important module of SAUVIM (Semi-Autonomous Underwater Vehicle for Intervention Missions) which is being developed at the University of Hawaii and will be capable of exploring the ocean at up to 6,000 m depth. In SAUVIM, a genetic algorithm (GA) is employed in...

This paper presents the design and development of an adaptive planning system using the technology of Web services. The Web-based adaptive planning system consists of two modules that can work independently. The first one is called HAP-WS and is the Web service interface to the domain independent planner HAP (Highly Adjustable Planner) that can be customized through the adjustment of several pa...

Objective: The purpose of this study was to investigate the relationship of psychological wellbeing with variables of mindfulness and emotion regulation strategies, and then to identify which one predicts better psychological well-being. Methods: We used a descriptive-analytical design for this study. A total of 243 students from 3 Tehran universities were selected using the con...

Demand-adaptive transit systems (DAS) display features of both traditional fixed-line bus services and purely on-demand systems, that is, they offer demandresponsive services within the framework of traditional scheduled bus transportation. Similarly to most transportation systems dedicated to serve several demands with the same vehicle, demand-adaptive transit systems involve a complex set of ...

This paper reviews the applications and challenges of robotic systems in the underwater domain. It focuses on the challenges for achieving embedded situation awareness, adaptive trajectory planning and adaptive mission planning. These are required elements for providing true autonomy for delegation of tasks to unmanned underwater vehicles. The paper analyses current approaches to tackling these...

This study examines how strategic manufacturing planning processes vary systematically with respect to planning characteristics, and how the planning process appears to evolve over time. Through an empirical evaluation of over 200 U.S. manufacturers, we document the existence of four strategic manufacturing planning groups. These groups vary with respect to the degrees of ‘‘rationality’’ and ‘‘...

User-adaptive tour planning systems are tourist information systems that can make tour plans customized for individual users. Several systems have been already proposed, but such usability issues as frustrating preference/personality registration process and lack of sense of participation still remain. In this paper, we review these usability issues and discuss the following challenges for more...

Process planning plays an important role for ensuring machining quality, reducing production cost, and shortening leading time. Since there are many uncertainty factors for manufacturing resources in a changing manufacturing environment, especially for small batch manufacturing of large scale parts requiring long process planning time, manufacturing companies are facing significant challenges o...

This paper describes adaptive path planning, a novel approach to path planning for car-like mobile robots. Instead of creating a new plan from scratch, whenever changes in the environment invalidate the current plan, the adaptive path planner attempts to adapt the old plan to the new situation. The paper proposes an efficient representation for path that is easily amendable to adaptation. Assoc...

Urban Traffic Control is a key problem for most big cities. An inefficient traffic control system can lead to increased traffic congestions that degrade city quality metrics such as average travel time or city pollution. Most common approaches focus on controlling traffic by appropriately setting traffic lights. Current systems in operation range from static control of traffic light phases to a...