Journals

An Overview of End Effectors in Agricultural Robotic Harvesting Systems – Agriculture 2022, 12(8), 1240

Abstract In recent years, the agricultural sector has turned to robotic automation to deal with the growing demand for food. Harvesting fruits and vegetables is the most labor-intensive and time-consuming among the main agricultural tasks. However, seasonal labor shortage of experienced workers results in low efficiency of harvesting, food losses, and quality deterioration. Therefore, research efforts focus on the automation of manual harvesting operations. Robotic manipulation of delicate products in unstructured environments is challenging. The development of suitable end effectors…

0
Read More

Grapevine Plant Image Dataset for Pruning – Data 2022, 7(8), 110

Abstract Grapevine pruning is conducted during winter, and it is a very important and expensive task for wine producers managing their vineyard. During grapevine pruning every year, the past year’s canes should be removed and should provide the possibility for new canes to grow and produce grapes. It is a difficult procedure, and it is not yet fully automated. However, some attempts have been made by the research community. Based on the literature, grapevine pruning automation is approximated with the…

0
Read More

Efficacy of a Robot-Assisted Intervention in Improving Learning Performance of Elementary School Children with Specific Learning Disorders – Children 2022, 9(8), 1155

Abstract (1) Background: There has been significant recent interest in the potential role of social robots (SRs) in special education. Specific Learning Disorders (SpLDs) have a high prevalence in the student population, and early intervention with personalized special educational programs is crucial for optimal academic achievement. (2) Methods: We designed an intense special education intervention for children in the third and fourth years of elementary school with a diagnosis of a SpLD. Following confirmation of eligibility and informed consent, the…

0
Read More

A non-destructive method for grape ripeness estimation using Intervals’ Numbers (INs) techniques – Agronomy, vol. 12, no. 7, 1564, 2022

C. Bazinas, E. Vrochidou, T. Kalampokas, A. Karampatea, V. G. Kaburlasos, “A non-destructive method for grape ripeness estimation using Intervals’ Numbers (INs) techniques”, Agronomy, vol. 12, no. 7, 1564, 2022. https://doi.org/10.3390/agronomy12071564

0
Read More

Towards Robot-Assisted Therapy for Children With Autism—The Ontological Knowledge Models and Reinforcement Learning-Based Algorithms – Frontiers in Robotics and AI, 06 April 2022, vol. 9

I. Salhi, M. Qbadou, S. Gouraguine, K. Mansouri, C. Lytridis, V. Kaburlasos, “Towards robot-assisted therapy for children with autism – the ontological knowledge models and reinforcement learning-based algorithms”, Frontiers in Robotics and AI, 06 April 2022, vol. 9, Article 713964. doi: 10.3389/frobt.2022.713964 (Special Issue on Emerging Technologies for Assistive Robotics: Current Challenges and Perspectives – Section “Biomedical Robotics”. Guest Editors: Lyuba Alboul, Jacques Penders, Peter Mitrouchev, Maya Dimitrova, Anna Lekova, Vassilis Kaburlasos)

0
Read More