Vinicius da Fonseca, Memorial University of Newfoundland

Research

Read how they describe their research on their Memorial University of Newfoundland profile.

Latest papers

Terrain-Aware Local Path Planning with Global DEM Data Integration for Autonomous UGV Navigation
arXiv (Cornell University) · 2026
Simulation-Driven Imitation Learning for Biosignals-Free Shared-Autonomy Prosthetic Grasping
arXiv (Cornell University) · 2026
Simulation-Driven Imitation Learning for Biosignals-Free Shared-Autonomy Prosthetic Grasping
arXiv (Cornell University) · 2026

All 59 publications

Latest funding

Artificial Intelligence for Precise and Natural Assistive Robotic Manipulation
CFI · 2025 · Co-investigator
$98,515

All 1 grants and awards

59 publications.

01

Terrain-Aware Local Path Planning with Global DEM Data Integration for Autonomous UGV Navigation

Devender Singh, Issah Nazif Suleiman, Paul Mitten, Glenn Cutler, Vinicius Prado da Fonseca, Matthew Hamilton

arXiv (Cornell University)2026Open Access

DOI: 10.48550/arxiv.2608.17038

02

Simulation-Driven Imitation Learning for Biosignals-Free Shared-Autonomy Prosthetic Grasping

Kaijie Shi, Wanglong Lu, Huiling Chen, Vinicius Prado da Fonseca, Ting Zou, Hanli Zhao, Xianta Jiang

arXiv (Cornell University)2026Open Access

DOI: 10.48550/arxiv.2606.07389

03

Simulation-Driven Imitation Learning for Biosignals-Free Shared-Autonomy Prosthetic Grasping

Kaijie Shi, Wanglong Lu, Huiling Chen, Vinicius Prado da Fonseca, Ting Zou, Hanli Zhao, Xianta Jiang

arXiv (Cornell University)2026Open Access

04

A multimodal dataset for robotic peg extraction based on Bioin-Tacto sensor modules.

Galayia V, Masinjila R, Khatibi S, Alves de Oliveira TE, Jiang X, Prado da Fonseca V

Data in brief20255 citationsSenior authorOpen Access

DOI: 10.1016/j.dib.2025.111356 PMID: 39996045

05

Toward Biosignals-Free Autonomous Prosthetic Hand Control via Imitation Learning

Kaijie Shi, Wanglong Lu, Hanli Zhao, Vinicius Prado da Fonseca, Ting Zou, Xianta Jiang

IEEE Transactions on Neural Systems and Rehabilitation Engineering20254 citationsOpen Access

DOI: 10.1109/tnsre.2025.3605579 PMID: 40902050

06

Investigating the Impact of Training Protocols on Myoelectric Pattern Recognition Control in Upper-Limb Amputees

Elaheh Mohammadreza, Vinicius Prado da Fonseca, Xianta Jiang

IEEE Transactions on Neural Systems and Rehabilitation Engineering20253 citationsOpen Access

DOI: 10.1109/tnsre.2025.3555100 PMID: 40138230

07

A dataset for tactile textures on uneven surfaces collected using a BioIn-Tacto sensing module.

Marzani M, Khatibi S, Masinjila R, Prado da Fonseca V, Alves de Oliveira TE

Data in brief20253 citationsOpen Access

DOI: 10.1016/j.dib.2025.111312 PMID: 39931096

08

Extraction of Non-Regular Pegs Using Tactile Sensing and Reinforcement Learning from Demonstrations

Viral Rasik Galaiya, Ruslan Masinjila, Soheil Khatibi, Thiago Eustaquio Alves de Oliveira, Vinicius Prado da Fonseca, Xianta Jiang

20251 citations

DOI: 10.1109/syscon64521.2025.11014831

09

Towards Biosignals-Free Autonomous Prosthetic Hand Control via Imitation Learning

Kaijie Shi, Wanglong Lu, Hanli Zhao, Vinicius Prado da Fonseca, Ting Zou, Xianta Jiang

arXiv (Cornell University)2025Open Access

DOI: 10.48550/arxiv.2506.08795

10

Enhancing tactile texture recognition from haptic surface reconstruction using reinforcement learning

Laurent Y. Emile Ramos Cheret, Soheil Khatibi, Vinicius Prado da Fonseca, Thiago Eustaquio Alves de Oliveira

2025

DOI: 10.1109/ccece64018.2025.11364371

Artificial Intelligence for Precise and Natural Assistive Robotic Manipulation

Co-investigatorCFI2025John R. Evans Leaders Fund: John R. Evans Leaders Fund – Funding for research infrastructure

Principal investigators: Jiang, Xianta

Keywords: Robotic Manipulation, Manipulation Skills Learning, Artificial Intelligence, Reinforcement Learning, Multiple Modalities Sensing, Robotic Simulation Robotic Arms, Motion Trackers, GPU Station

$98,515

From public funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998 with their latest competition results, the Canada Foundation for Innovation, Genome Canada, the Canadian Space Agency, Canada Research Chairs, the Fonds de recherche du Québec, Ontario research funding, Michael Smith Health Research BC, the Canadian Cancer Society, Heart & Stroke and Brain Canada.

Frequent collaborators

Department of Computer Science
School of Electrical Engineering and Computer Science
Bottin
Surgery Dept
Other

Co-authors at Memorial University of Newfoundland, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Vinicius Prado da Fonseca

Department of Computer Science

59 shared papers, latest 2026

Thiago de Oliveira

Department of Computer Science

30 shared papers, latest 2025

Thiago Alves de Oliveira

Department of Computer Science

30 shared papers, latest 2025

Émil Petriu

School of Electrical Engineering and Computer Science

14 shared papers, latest 2022

Xianta Jiang

Department of Computer Science

11 shared papers, latest 2026

Amilcar Soares

Department of Computer Science

10 shared papers, latest 2025

Ana-Maria Cretu

Bottin

3 shared papers, latest 2019

Ting Zou

Faculty

2 shared papers, latest 2025

Voicu Groza

School of Electrical Engineering and Computer Science

1 shared papers, latest 2018

Bin Zheng

Surgery Dept

1 shared papers, latest 2022

Terrence Tricco

Department of Computer Science

1 shared papers, latest 2022

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Subject: Prospective PhD student Dear Professor da Fonseca, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Terrain-Aware Local Path Planning with Global DEM Data Integration for Autonomous UGV Navigation" (2026), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]