AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
This paper presents a multimodal foundation model-enabled agent that integrates BIM, simulation, and physical execution by enabling a robot to retrieve BIM data, translate it into assembly targets, and generate robot motion trajectories through natural-language interaction.
Human-Robot Collaboration has enhanced manufacturing efficiency and productivity by integrating the precision and repeatability of robots with the adaptability of human operators. The growing demand for customized products frequently requires human operators to manually reprogram robot task plans. This process demands...
Robots have significant potential to automate construction processes. However, their industry adoption remains limited, partly because of the programming effort required to adapt robots to diverse tasks. This paper presents a skill sequence planning method that enables a heterogeneous team of multi-functional robots to...
General-purpose agents increasingly write code, use tools, and complete complex digital tasks, raising the question of how far these capabilities carry into the physical world. To investigate this, we introduce RobotWorld, a challenging simulation testbed for robot use: turning instructions and observations into physic...
The adoption of robotics in construction has progressed more slowly than in many other sectors. Building information models (BIMs) contain information that can support construction robotics, while robots require task-specific project data, such as geometry, location, material, sequence, and operating constraints, that...
This review discusses recent research from the perspective of a complete "perception-decision-execution-feedback" process, and focuses on the main topics operator action and intention recognition, perception of part states, task allocation under human-related constraints, safe trajectory planning, and quality feedback.
Human videos offer a scalable source of demonstrations for dexterous robot manipulation. However, existing human-to-simulation-to-robot (Human2Sim2Robot) pipelines rely on predefined procedures that struggle to accommodate diverse object properties and interactions, particularly those involving articulated and deformab...
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