Virtual Reality-Based Teleoperation System for Robot Forklifts

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2025

Autores

Couto, MB (Autor) Outra; Marcelo Petry (Autor) FEUP; Mendes, A (Autor) Outra; Silva, MF (Autor) Outra

Ata de Conferência Internacional

Título: 2025 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS, ICARSC

Páginas: 177-184

2025 International Conference on Autonomous Robot Systems and Competitions-ICARSC-Annual

Funchal, PORTUGAL, APR 02-03, 2025

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-018-NVR

DOI: 10.1109/icarsc65809.2025.10970150

Abstract (EN): The growing reliance on e-commerce and the demand for efficient intralogistics operations have increased the need for automation, while labour shortages continue to pose significant challenges. When combined with the inherent risks of forklift operation, this circumstance prompted businesses to look for robotic solutions for intralogistics tasks. However, robots are still limited when they come across situations that are outside of their programming scope and often need assistance from humans. To achieve the long-term goal of enhancing intralogistics operation, we propose the development of a virtual reality-based teleoperation system that allows remote operation of robot forklifts with minimal latency. Considering the specificities of the teleoperation process and network dynamics, we conduct detailed modelling to analyse latency factors, optimise system performance, and ensure a seamless user experience. Experimental results on a mobile robot have shown that the proposed teleoperation system achieves an average glass-to-glass latency of 368 ms, with capturing latency contributing to approximately 60% of the total delay. The results also indicate that network oscillations significantly impact image quality and user experience, emphasising the importance of a stable network infrastructure.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8