Tootfinder

Real-time Photorealistic Mapping for Situational Awareness in Robot Teleoperation
Ian Page (GIPSA-lab), Pierre Susbielle (GIPSA-lab), Olivier Aycard (GIPSA-lab), Pierre-Brice Wieber
https://arxiv.org/abs/2509.06433

Real-time Photorealistic Mapping for Situational Awareness in Robot Teleoperation
Achieving efficient remote teleoperation is particularly challenging in unknown environments, as the teleoperator must rapidly build an understanding of the site's layout. Online 3D mapping is a proven strategy to tackle this challenge, as it enables the teleoperator to progressively explore the site from multiple perspectives. However, traditional online map-based teleoperation systems struggle to generate visually accurate 3D maps in real-time due to the high computational cost involved, lead…

Quantum Variational Transformer Model for Enhanced Cancer Classification
Don Roosan, Rubayat Khan, Md Rahatul Ashakin, Tiffany Khou, Saif Nirzhor, Mohammad Rifat Haider
https://arxiv.org/abs/2506.21641

Quantum Variational Transformer Model for Enhanced Cancer Classification
Accurate prediction of cancer type and primary tumor site is critical for effective diagnosis, personalized treatment, and improved outcomes. Traditional models struggle with the complexity of genomic and clinical data, but quantum computing offers enhanced computational capabilities. This study develops a hybrid quantum-classical transformer model, incorporating quantum attention mechanisms via variational quantum circuits (VQCs) to improve prediction accuracy. Using 30,000 anonymized cancer s…