Copertina

On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cereda, Elia, Rusci, Manuele, Giusti, Alessandro, Palossi, Daniele
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Training on the Fly: On-device Self-supervised Learning aboard Nano-drones within 20 mW
di: Cereda, Elia, et al.
Pubblicazione: (2024)

Ultra-low Power Deep Learning-based Monocular Relative Localization Onboard Nano-quadrotors
di: Bonato, Stefano, et al.
Pubblicazione: (2023)

NanoCockpit: Performance-optimized Application Framework for AI-based Autonomous Nanorobotics
di: Cereda, Elia, et al.
Pubblicazione: (2026)

Self-supervised Domain Adaptation for Visual 3D Pose Estimation of Nano-drone Racing Gates by Enforcing Geometric Consistency
di: Carlotti, Nicholas, et al.
Pubblicazione: (2026)

A Map-free Deep Learning-based Framework for Gate-to-Gate Monocular Visual Navigation aboard Miniaturized Aerial Vehicles
di: Scarciglia, Lorenzo, et al.
Pubblicazione: (2025)

An Efficient Ground-aerial Transportation System for Pest Control Enabled by AI-based Autonomous Nano-UAVs
di: Crupi, Luca, et al.
Pubblicazione: (2025)

Tiny-DroNeRF: Tiny Neural Radiance Fields aboard Federated Learning-enabled Nano-drones
di: Carboni, Ilenia, et al.
Pubblicazione: (2026)

Fusing Multi-sensor Input with State Information on TinyML Brains for Autonomous Nano-drones
di: Crupi, Luca, et al.
Pubblicazione: (2024)

Vision-State Fusion: Improving Deep Neural Networks for Autonomous Robotics
di: Cereda, Elia, et al.
Pubblicazione: (2022)

High-throughput Visual Nano-drone to Nano-drone Relative Localization using Onboard Fully Convolutional Networks
di: Crupi, Luca, et al.
Pubblicazione: (2024)

Self-Supervised Learning of Visual Robot Localization Using LED State Prediction as a Pretext Task
di: Nava, Mirko, et al.
Pubblicazione: (2024)

Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems
di: Bompani, Luca, et al.
Pubblicazione: (2024)

Multi-modal On-Device Learning for Monocular Depth Estimation on Ultra-low-power MCUs
di: Nadalini, Davide, et al.
Pubblicazione: (2025)

MR2-ByteTrack: CNN and Transformer-based Video Object Detection for AI-augmented Embedded Vision Sensor Nodes
di: Bompani, Luca, et al.
Pubblicazione: (2026)

Nonlinear System Identification Nano-drone Benchmark
di: Busetto, Riccardo, et al.
Pubblicazione: (2025)

A Sim-to-Real Deep Learning-based Framework for Autonomous Nano-drone Racing
di: Lamberti, Lorenzo, et al.
Pubblicazione: (2023)

A Deep Learning-based Pest Insect Monitoring System for Ultra-low Power Pocket-sized Drones
di: Crupi, Luca, et al.
Pubblicazione: (2024)

Learning Hand State Estimation for a Light Exoskeleton
di: Abbate, Gabriele, et al.
Pubblicazione: (2024)

Self-supervised Learning Of Visual Pose Estimation Without Pose Labels By Classifying LED States
di: Carlotti, Nicholas, et al.
Pubblicazione: (2025)

Ego-Foresight: Self-supervised Learning of Agent-Aware Representations for Improved RL
di: Nunes, Manuel Serra, et al.
Pubblicazione: (2024)

Predicting the Intention to Interact with a Service Robot:the Role of Gaze Cues
di: Arreghini, Simone, et al.
Pubblicazione: (2024)

Multi-Task Interactive Robot Fleet Learning with Visual World Models
di: Liu, Huihan, et al.
Pubblicazione: (2024)

WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small UAV
di: Achermann, Florian, et al.
Pubblicazione: (2024)

VTD: Visual and Tactile Database for Driver State and Behavior Perception
di: Wang, Jie, et al.
Pubblicazione: (2024)

Graphormer-Guided Task Planning: Beyond Static Rules with LLM Safety Perception
di: Huang, Wanjing, et al.
Pubblicazione: (2025)

Robot at the Mirror: Learning to Imitate via Associating Self-supervised Models
di: Lucny, Andrej, et al.
Pubblicazione: (2023)

Inductive Learning of Robot Task Knowledge from Raw Data and Online Expert Feedback
di: Meli, Daniele, et al.
Pubblicazione: (2025)

Monte Carlo Tree Search with Velocity Obstacles for safe and efficient motion planning in dynamic environments
di: Bonanni, Lorenzo, et al.
Pubblicazione: (2025)

Holistic Construction Automation with Modular Robots: From High-Level Task Specification to Execution
di: Külz, Jonathan, et al.
Pubblicazione: (2024)

A Meta-Engine Framework for Interleaved Task and Motion Planning using Topological Refinements
di: Tosello, Elisa, et al.
Pubblicazione: (2024)

QuadBEV: An Efficient Quadruple-Task Perception Framework via Bird's-Eye-View Representation
di: Li, Yuxin, et al.
Pubblicazione: (2024)

Learning Shared RGB-D Fields: Unified Self-supervised Pre-training for Label-efficient LiDAR-Camera 3D Perception
di: Xu, Xiaohao, et al.
Pubblicazione: (2024)

Learning the Generalizable Manipulation Skills on Soft-body Tasks via Guided Self-attention Behavior Cloning Policy
di: Li, Xuetao, et al.
Pubblicazione: (2024)

Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions
di: Yasutomi, André Yuji, et al.
Pubblicazione: (2023)

Self-Improving Loops for Visual Robotic Planning
di: Luo, Calvin, et al.
Pubblicazione: (2025)

LLM-Driven Self-Refinement for Embodied Drone Task Planning
di: Zhang, Deyu, et al.
Pubblicazione: (2025)

Wonderful Team: Zero-Shot Physical Task Planning with Visual LLMs
di: Wang, Zidan, et al.
Pubblicazione: (2024)

Multi-Agent Planning Using Visual Language Models
di: Brienza, Michele, et al.
Pubblicazione: (2024)

NOVA: Navigation via Object-Centric Visual Autonomy for High-Speed Target Tracking in Unstructured GPS-Denied Environments
di: Saviolo, Alessandro, et al.
Pubblicazione: (2025)

Self-Corrective Task Planning by Inverse Prompting with Large Language Models
di: Lee, Jiho, et al.
Pubblicazione: (2025)