most citedAI-based worker guidance in assembly and disassembly operations using multimodal ego/exo-centric data capture and structured task knowledge

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20261 cited

AI-based worker guidance in assembly and disassembly operations using multimodal ego/exo-centric data capture and structured task knowledge

Vivek Chavan, Jörg Krüger

Assembly and disassembly processes rely on expert knowledge that is difficult to document, reuse, and transfer. This paper presents a data-centric approach for extracting structure…

cs.RO2026

Efficiently Linking Real Scenes with Synthetic Data Generation for AI-based Cognitive Robotics and Computer Vision Applications

Paul Koch, Vivek Chavan, André Sers +4

AI vision models are a driving factor for the potential use case scenarios of cognitive robotics within in the industry and household applications. A large array of methods from se…

cs.CV2026

Visual Quality Score Assessment of Large White Goods in Remanufacture with Multi-View Deformable-DETR

Paul Koch, Vivek Chavan

Remanufacturing large white goods is essential for a circular economy, yet visual quality assessment remains a manual bottleneck for training and pricing. Conventional detection me…

cs.CV2025

IndEgo: A Dataset of Industrial Scenarios and Collaborative Work for Egocentric Assistants

Vivek Chavan, Yasmina Imgrund, Tung Dao +5

We introduce IndEgo, a multimodal egocentric and exocentric dataset addressing common industrial tasks, including assembly/disassembly, logistics and organisation, inspection and r…

cs.HC2025

Feeling Machines: Ethics, Culture, and the Rise of Emotional AI

Vivek Chavan, Arsen Cenaj, Shuyuan Shen +21

This paper explores the growing presence of emotionally responsive artificial intelligence through a critical and interdisciplinary lens. Bringing together the voices of early-care…