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Abstract Planning and decision-making technology at intersections is a comprehensive research problem in intelligent transportation systems due to the uncertainties caused by a variety of traffic participants. As wireles...

The governance of protected areas plays a key role in preserving biodiversity and fostering sustainable development, particularly through nature-based tourism. This paper introduces the Robustness Supply Tourism Index (R...

Los agentes inteligentes necesitan satisfacer sus objetivos, para esto una de las técnicas mas utilizadas es planning. El problema es que los algoritmos de planning no fueron pensados especialmente para interactuar con ...

This Review Note presents two successful “brain gain” initiatives implemented in Albania — READ, a planning research project, and GERMIN, a planning education project. Both programs represent structured efforts to ...

ObjectiveCurrently, the insufficient full-element digitization and the prevalence of “data silos” in fully mechanized mining faces (FMMF) result in poor cutting precision and operational instability of shearers under...

The motion planning is a critical component of autonomous navigation, requiring the vehicle to reach a target location safely. Traditional navigation approaches for four-wheel differential drive automated guided vehicles...

Abstract In order to improve the operation efficiency and impact resistance of the robotic arm in unstructured environments such as orchards, this paper proposes an online trajectory planning method for multi-index compr...

Abstract Finding a balance between economic growth and environmental protection is a significant challenge for contemporary cities. In the last 30 years, many large cities have started integrating sustainability concept...

Adaptive ability is essential for a quadrotor to fly in a complex environment with various situations thus a lightweight motion planner is necessary to ensure the quadrotor’s maneuverability. At present, the ESDF-...

Abstract To avoid impacts and vibrations during the processes of acceleration and deceleration while possessing flexible working ways for cable-suspended parallel robots (CSPRs), point-to-point trajectory planning demand...

Background and Objectives: The driving forces of productivity-oriented design management in architecture and urban planning offices, as a novel approach to improving project performance, focus on identifying and analyzin...

Within manufacturing, features have been widely accepted as useful concepts, and in particular they are used as an interface between CAD and CAPP systems. Previous research on feature recognition focus on the issues of i...

Marine ecosystems constitute systems of enormous wealth and biodiversity. They offer a large number of ecosystem services that have promoted the development of uses and activities for their benefit by societies. This has...

Abstract Anti-rollover is a critical factor to consider when planning the motion of autonomous heavy trucks. This paper proposed a method for autonomous heavy trucks to generate a path that avoids collisions and minimize...

Abstract To accommodate the gait and balance disorder of the elderly with age progression and the occurrence of various senile diseases, this paper proposes a novel gait balance training robot (G-Balance) based on a six ...

Background and Purpose: Deep learning segmentation (DLS) and planning (DLP) models in radiotherapy treatment planning increase consistency and reduce planning time. However, many DL segmentations and plans are manually a...

With the continuous innovation in household appliance technology and the improvement of living standards, the production of discarded household appliances has rapidly increased, making their recycling increasingly signif...

Abstract Background Buccal plate perforation (BPP) is a common intraoperative complication during implant placement in the maxillary premolar region, compromising implant stability and long-term success. This study aimed...

We show how reactive synthesis and automated planning can be leveraged effectively to find nonmaximal solutions to deterministic supervisory control problems of discrete event systems. To do so, we propose efficient tran...

Abstract To address the challenge of low adaptability in distribution network planning caused by significant regional differences in electricity consumption, this paper proposes a distribution network planning method bas...

Aims: While robotic-assisted total hip arthroplasty (THA) improves implant positioning accuracy, it often overlooks dynamic lumbopelvic parameters, such as pelvic tilt changes between sitting and standing. These factors ...

Abstract Autonomous vehicles require safe motion planning in uncertain environments, which are largely caused by surrounding vehicles. In this paper, a driving environment uncertainty-aware motion planning framework is p...

Efficient UAV path planning in large and dynamic environments requires adaptive strategies that account for varying regional importance. Traditional coverage or Reinforcement Learning-based methods often suffer from redu...

Decision Support Systems (DSS) are widely recognized as important tools supporting decision making processes, quite little adopted yet to support sustainable spatial and mobility planning, despite a wide range of literat...