BI-LEVEL PROJECT SIMULATION METHODOLOGY TO INTEGRATE SUPERINTENDENT AND PROJECT MANAGER IN DECISION MAKING: SHUTDOWN/TURNAROUND APPLICATIONS The critical path method (CPM) provides the standa MFF Siu,M Lu,S Abourizk - 《Proceedings of the Workshop on Principles of Advanced & Distributed Simulation》...
Ensuring the safety of autonomous robots, such as self-driving vehicles, requires extensive testing across diverse driving scenarios. Simulation is a key ingredient for conducting such testing in a cost-effective and scalable way. Neural rendering methods have gained popularity, as they can build sim...
Yang C, Chai X, Zhang F (2012b) Research on co-simulation task scheduling based on virtualization technology under cloud simulation. In: Asia simulation conference and the international conference on system simulation and scientific computing 2012, Part II, pp 421–430...
Task planning is emerging as an important research topic alongside the development of large language models (LLMs). It aims to break down complex user requests into solvable sub-tasks, thereby fulfilling the original requests. In this context, the sub-tasks can be naturally viewed as a graph, ...
A research team introduces TinyAgent, a framework designed to train and deploy small, task-specific language models capable of performing function calls for agentic systems at the edge, which outperforms larger models such as GPT-4-Turbo in this specific function-calling ability.2024...
The experimental tasks included simple cognitive and manual control tasks, complex laboratory and supervisory control tasks, and aircraft simulation. Task-, behavior-, and subject-related correlates of subjective workload experiences varied as a function of difficulty manipulations within experiments, ...
Existing SimGrid task parsers do not support them, so you need custom task format to even setup this. There are somediscouraging wordsin SimGrid documentation about validity of such simulation. API seems to be "in progress" Releases No releases published ...
CoppeliaSim is one of the most versatile and powerful robot simulation platform available. It is used for fast algorithm development, factory automation simulation, fast prototyping and verification, remote monitoring, safety double-checking, as digital
from simulation or similar environments. Our current approach, which we call policy adjustments, allows us to transfer previously learned controllers by reasoning about the discrepancies between the source of the knowledge (a simulator) and the deployment environment (a physical robot in the ocean). ...
For instance, in the case of agent-based modeling, simulation researchers must install windows that expose the inner workings and functionality of their models, so cognitive scientists can be informed about which human qualities can readily be modeled and how that can be done. Likewise, cognitive ...