Robotics, Vision and Intelligent Technologies. Artificial Intelligence, Machine Learning & Computer Vision
University of Alicante, Spain
Joined March 2019
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The work explores two key areas in next-generation robotics: real-time Digital Shadows for physical-to-virtual synchronization using ROS 2, computer vision and NVIDIA Isaac Sim , and VLN-Pilot, a framework that uses Vision-Language Models to autonomously navigate indoor
drones from natural-language instructions.
Two exciting steps forward at the intersection of robotics, AI, computer vision and simulation.
#WAF2026 #Robotics #ArtificialIntelligence #ComputerVision #DigitalTwin #VisionLanguageModels #AutonomousRobots
We evaluated PICoS in a pilot study with children with different cognitive profiles, using two Go/No-Go-style activities focused on attention, turn-taking and response withholding.
The study was designed to assess technical feasibility and acceptability.
The results are encouraging:4/5 participants selected the highest enjoyment rating, and all 5 said they would like to use the system again.
There is still much to explore,especially with larger and longitudinal studies.
#VirtualReality #ArtificialIntelligence #GaussianSplatting
We are delighted to announce that TEACH-AI has been funded by the Generalitat Valenciana through the Prometeo Programme for Research Groups of Excellence. The project will explore how AI can support more inclusive, evidence-based education. 🧵
At its core, the project will use multi-agent simulations and skill graphs to model teachers, students, competencies and learning pathways—including diverse and neurodivergent profiles such as ASD and ADHD.
Led by Rosabel Roig-Vila and Miguel Cazorla at the University of Alicante, TEACH-AI will deliver open-source tools, FAIR datasets and a validated prototype for teacher training, educational planning and inclusive decision-making.
#AI #EdTech #Education
Our experiments show that many current detection models experience a significant performance drop on FFA, especially when analyzed across demographic subgroups. This highlights the need for benchmarks that evaluate not only accuracy, but also generalization and fairness.
We hope this resource contributes to the development of more reliable, transparent, and responsible deepfake detection systems.
#Deepfakes #ComputerVision #AI #FairAI #SyntheticMedia #DeepfakeDetection #MachineLearning