Nuno Pereira

Orcid: 0000-0001-7177-751X

Affiliations:
  • University of Beira Interior, NOVA LINCS, Department of Computer Science, Centre for Mechanical and Aerospace Science and Technologies (C-MAST), Covilhã, Portugal


According to our database1, Nuno Pereira authored at least 12 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Self-Sensing Soft Finger Produced from Conductive TPU for Adaptive Grasping and Force Sensing Applications.
Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2025

2024
6D Pose Estimation and Object Recognition
PhD thesis, 2024

Leveraging Machine Learning for Weed Management and Crop Enhancement: Vineyard Flora Classification.
Algorithms, 2024

Fusion of Computer Vision Method and Fin Ray Effect Soft Robotic Gripper for Fruit Harvesting.
Proceedings of the 20th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2024

2023
MPF6D: masked pyramid fusion 6D pose estimation.
Pattern Anal. Appl., August, 2023

2022
Controlling Robots using Image Analysis and a Consortium Blockchain.
Proceedings of the 17th International Conference on Control, 2022

2021
A Time-Segmented Consortium Blockchain for Robotic Event Registration.
Proceedings of the ICBCT '21: The 3rd International Conference on Blockchain Technology, 2021

Impact of Segmentation and Color Spaces in 6D Pose Estimation.
Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2021

2020
MaskedFusion: Mask-based 6D Object Pose Estimation.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019
MaskedFusion: Mask-based 6D Object Pose Detection.
CoRR, 2019

Controlling Robots using Artificial Intelligence and a Consortium Blockchain.
CoRR, 2019

Robot Workspace Monitoring Using a Blockchain-Based 3D Vision Approach.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019


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