arXiv (OAI Expanded)
open access
A Vision Based Framework Integrating Attention and Action Cues for Interpretable Cognitive Workload Assessment in Human-Robot Collaborative Assembly
The introduction of human-robot collaboration (HRC) in industrial assembly operations is revolutionizing the manufacturing landscape. In this evolving environment, operators are required to seamlessly coordinate their manual tasks with real-time task information and robotic behaviors. These demands
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- YOLO-Based Object Detection with Oriented Bounding Boxes for Assembly Line Automation of Tabletop Games#1148621
- Towards a Unified Modality-Agnostic Multimodal Framework for Cognitive Workload Assessment#1033969
- A Goal-Oriented Approach for Active Object Detection with Exploration-Exploitation Balance#1142557
- Supporting Calibrated Reliance in Human-AI Collaboration: Different Strategies for Different Tasks#629965
- Supporting Calibrated Reliance in Human-AI Collaboration: Different Strategies for Different Tasks#628103
Record · ID 1110382
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive