most citedClassification of Primitive Manufacturing Tasks from Filtered Event Data

15 citations · 32 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2024

Demonstration of real-time event camera to collaborative robot communication

Laura Duarte, Michele Polito, Laura Gastaldi +2

Real-time robot actuation is one of the main challenges to overcome in human-robot interaction. Most visual sensors are either too slow or their data are too complex to provide mea…

cs.CV2024★ 8 cited

Event-based dataset for the detection and classification of manufacturing assembly tasks

Laura Duarte, Pedro Neto

The featured dataset, the Event-based Dataset of Assembly Tasks (EDAT24), showcases a selection of manufacturing primitive tasks (idle, pick, place, and screw), which are basic act…

cs.RO2024

A Collaborative Robot-Assisted Manufacturing Assembly Process

Miguel Neves, Laura Duarte, Pedro Neto

An effective human-robot collaborative process results in the reduction of the operator's workload, promoting a more efficient, productive, safer and less error-prone working envir…

cs.RO2024

Benchmarking human-robot collaborative assembly tasks

Laura Duarte, Miguel Neves, Pedro Neto

Manufacturing assembly tasks can vary in complexity and level of automation. Yet, achieving full automation can be challenging and inefficient, particularly due to the complexity o…

cs.CV2023★ 9 cited

Event-based tracking of human hands

Laura Duarte, Mohammad Safeea, Pedro Neto

This paper proposes a novel method for human hands tracking using data from an event camera. The event camera detects changes in brightness, measuring motion, with low latency, no…

cs.CV2023★ 15 cited

Classification of Primitive Manufacturing Tasks from Filtered Event Data

Laura Duarte, Pedro Neto

Collaborative robots are increasingly present in industry to support human activities. However, to make the human-robot collaborative process more effective, there are several chal…