3 papers
cs.AI2026
Foundation-Model-Based Agents in Industrial Automation: Purposes, Capabilities, and Open Challenges
Vincent Henkel, Felix Gehlhoff, David Kube +13
Foundation models, particularly large language models, are increasingly integrated into agent architectures for industrial tasks such as decision support, process monitoring, and e…
cs.RO2026
Robotic Foundation Models for Industrial Control: A Comprehensive Survey and Readiness Assessment Framework
David Kube, Simon Hadwiger, Tobias Meisen
Robotic foundation models (RFMs) are emerging as a promising route towards flexible, instruction- and demonstration-driven robot control, however, a critical investigation of their…
cs.AI2025
Benchmark for Planning and Control with Large Language Model Agents: Blocksworld with Model Context Protocol
Niklas Jobs, Luis Miguel Vieira da Silva, Jayanth Somashekaraiah +3
Industrial automation increasingly requires flexible control strategies that can adapt to changing tasks and environments. Agents based on Large Language Models (LLMs) offer potent…