Institution profile

Politecnico di Torino

Academic institutioneurope · it
Official website
Research library399linked papers
Opportunities0open roles
Selected work

Representative Papers

Shaping a Quantum-Resistant Future: Strategies for Post-Quantum PKI

Jun 26, 2024International Symposium on Computers and Communications

This study addresses the severe threat posed by quantum computing to conventional public-key cryptography, particularly undermining the security of key authentication and digital signatures in X.509-based Public Key Infrastructure (PKI). The work systematically analyzes the integration requirements of NIST-selected post-quantum cryptographic algorithms into X.509 certificates, Certificate Revocation Lists (CRLs), and the Online Certificate Status Protocol (OCSP). It presents the first comprehensive framework for structural and protocol-level adaptations necessary to support these algorithms within existing PKI components. Through rigorous compatibility and performance evaluations, the study identifies viable migration pathways and provides concrete technical guidance and standardization recommendations for transitioning to a quantum-resistant PKI.

2 citationsRead paper

Feasible Static Workspace Optimization of Tendon Driven Continuum Robot based on Euclidean norm

Feb 06, 2026

This study addresses the limited operational capability of tendon-driven continuum robots under external loads by proposing a novel optimization approach that treats tendon forces as design variables and maximizes the Euclidean norm of the end-effector position to enlarge the feasible static workspace (FSW). A static mechanical model of a two-segment, eight-tendon-driven continuum robot is developed, and an efficient genetic algorithm is employed to determine the optimal tendon force configuration. The method explicitly accounts for external forces and moments, significantly expanding the robot’s static workspace compared to conventional approaches. This work provides a new framework for enhancing the manipulation performance of continuum robots in complex loading environments.

1 citationsRead paper

Low Cost, High Efficiency: LiDAR Place Recognition in Vineyards with Matryoshka Representation Learning

Jan 26, 2026

This work addresses the challenge of efficient and accurate place recognition for mobile robots operating in structurally sparse vineyard environments that lack distinctive landmarks. To this end, the authors propose MinkUNeXt-VINE, a method that integrates a lightweight Minkowski Engine architecture, LiDAR point cloud preprocessing, and a multi-loss mechanism based on Matryoshka representation learning to achieve high accuracy and computational efficiency under low-dimensional output constraints. The approach demonstrates significantly enhanced robustness to low-cost, sparse LiDAR data and outperforms existing methods on two long-term vineyard datasets, thereby validating its effectiveness and stability in real-time applications with low-resolution sensor inputs.

1 citationsRead paper

Universal Dynamics of Warmup Stable Decay: understanding WSD beyond Transformers

Jan 13, 2026

This study investigates whether the superior performance of the Warmup Stable Decay (WSD) learning rate scheduler stems from Transformer-specific architecture or reflects universal geometric properties of high-dimensional non-convex optimization landscapes. By systematically analyzing loss surfaces, sharpness dynamics, and optimization trajectories under Adam with WSD across Pythia-style language models and small CNNs trained on CIFAR-10, the work reveals a striking alignment between the two architectures in training signals, optimization paths, and sharpness evolution. These findings demonstrate that WSD’s effectiveness arises from shared geometric structures in the loss landscape rather than model-specific design choices, offering cross-architectural evidence that advances the understanding of deep learning optimization.

1 citationsRead paper
Recent publications

Latest Papers