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Pedro Neto

5 papers hereh-index 329 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.RO4
  • cs.CV1
same name
  • Pedro Neto — 2 papers, h 2
  • Pedro Neto — 1 paper, h 1
  • Pedro Neto — 1 paper, h 1
  • Pedro Neto — 1 paper, h 3
  • Pedro Neto — 1 paper, h 2
  • Pedro Neto — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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

8 citations · 8 across the 5 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2025

Classification of assembly tasks combining multiple primitive actions using Transformers and xLSTMs

Miguel Neves, Pedro Neto

The classification of human-performed assembly tasks is essential in collaborative robotics to ensure safety, anticipate robot actions, and facilitate robot learning. However, achi…

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.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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.