Results 191 to 200 of about 5,883,161 (235)

Automated Movie Generation via Multi-Agent CoT Planning

arXiv.org
Existing long-form video generation frameworks lack automated planning, requiring manual input for storylines, scenes, cinematography, and character interactions, resulting in high costs and inefficiencies.
Weijia Wu, Zeyu Zhu, Mike Zheng Shou
semanticscholar   +1 more source

Towards Exploiting Generic Problem Structures in Explanations for Automated Planning

International Conference on Knowledge Capture, 2019
Explainable AI is becoming an area of key focus in Artificial Intelligence. Within Automated Planning (AP) the area Explainable Planning (XAIP) focuses on explanations of the planning process.
A. Lindsay
semanticscholar   +1 more source

Automating Continuous Planning in SAFe

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops, 2020
The Scaled Agile Framework (SAFe) is a popular realisation of the agile methodology for large organisations. It is widely adopted but challenging to implement. We describe a new tool which automates aspects of the SAFe PI Planning process to enable continuous planning and facilitate collaboration between remote teams.
Darius Foo, Jonah Dela Cruz, Subashree Sekar, Asankhaya Sharma   +3 more
openaire   +1 more source

Automated space planning

Artificial Intelligence, 1973
This paper both reviews current procedures and introduces new ones for the automated generation of two-dimensional arrangements. General properties of the task and some sufficiency conditions for dealing with it are identified. The treatment of these properties in existing programs are reviewed.
openaire   +1 more source

An Improved Model Predictive Control-Based Trajectory Planning Method for Automated Driving Vehicles Under Uncertainty Environments

IEEE transactions on intelligent transportation systems (Print), 2023
For automated driving vehicles, trajectory planning is responsible for obtaining feasible trajectories with velocity profiles according to driving environments.
Tianqi Qie, Weida Wang, Chaowei Yang, Ying Li, Yuhang Zhang, Wenjie Liu, C. Xiang   +6 more
semanticscholar   +1 more source

The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review

IEEE Transactions on Intelligent Vehicles, 2023
Automated driving has the potential to revolutionize personal, public, and freight mobility. Beside accurately perceiving the environment, automated vehicles must plan a safe, comfortable, and efficient motion trajectory.
Steffen Hagedorn, Marcel Hallgarten, M. Stoll, A. Condurache   +3 more
semanticscholar   +1 more source

Anticipation of goals in automated planning

AI Communications, 2018
In the context of deliberative reasoning, autonomous systems should be able to explicitly reason about goals. Most research in automated planning assume that goals are initially given and fixed and planners generate plans to achieve them. However, in some real-world scenarios where planners work in an on-line continual planning setting, additional ...
Raquel Fuentetaja 0001, Daniel Borrajo, Tomás de la Rosa   +2 more
openaire   +1 more source

Strategic planning for office automation

Information & Management, 1991
Abstract A conceptual model of strategic planning for office automation is developed. Survey data on the practice of strategic planning for office automation in 59 Fortune 500 firms is presented as is the perceived value associated with the results of the process.
Courtney S. Ferguson, Hugh J. Watson, Robert D. Gatewood   +2 more
openaire   +1 more source

Automated reuse of design plans

Artificial Intelligence in Engineering, 1989
Abstract BOGART, part of the VEXED knowledge-based circuit design editor, partially automates circuit (re-)design by mechanically ‘replaying’ the recorded history of design decisions made in a previous design. We illustrate how it designs part of a content-addressable memory by replaying the design plan for a comparator, and how it helps implement ...
Jack Mostow, Michael W. Barley, Timothy Weinrich   +2 more
openaire   +1 more source

Improved Domain Modeling for Realistic Automated Planning and Scheduling in Discrete Manufacturing

IEEE International Conference on Emerging Technologies and Factory Automation, 2018
Current production planning and scheduling systems in automation do not meet the requirements of modern individualized production. Today's, static production processes impede customized manufacturing and small-scale production.
Antje Rogalla, A. Fay, O. Niggemann
semanticscholar   +1 more source