Francesco Braghin

収録論文 25本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• From Digital to Physical Reservoir Computing: Co-Optimizing Soft Robotic Reservoirs via Dynamics Matching
  2026/8/1
• RLCNet: An end-to-end deep learning framework for simultaneous online calibration of LiDAR, RADAR, and Camera
  2025/12/1
• Augmenting Neural Networks-Based Model Approximators in Robotic Force-Tracking Tasks
  2025/9/1
• ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph
  2025/9/1
• Toward Context-Aware Exoskeleton Assistance: Integrating Computer Vision Payload Estimation with a User-Centric Optimization Space
  2025/8/1
• Robot Drummer: Learning Rhythmic Skills for Humanoid Drumming
  2025/7/1
• Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function
  2025/7/1
• Raci-Net: Ego-vehicle Odometry Estimation in Adverse Weather Conditions
  2025/7/1
• RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling
  2024/9/1
• ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics
  2024/6/1
• Tactical Game-theoretic Decision-making with Homotopy Class Constraints
  2024/6/1
• Nonlinear In-situ Calibration of Strain-Gauge Force/Torque Sensors for Humanoid Robots
  2023/12/1
• Vehicle State Estimation through Modular Factor Graph-based Fusion of Multiple Sensors
  2023/8/1
• Predicting human motion intention for pHRI assistive control
  2023/7/1
• Centroidal Aerodynamic Modeling and Control of Flying Multibody Robots
  2022/5/1
• Nonlinear Model Identification and Observer Design for Thrust Estimation of Small-scale Turbojet Engines
  2022/5/1
• Competitors-Aware Stochastic Lap Strategy Optimisation for Race Hybrid Vehicles
  2022/3/1
• Extended Object Tracking in Curvilinear Road Coordinates for Autonomous Driving
  2022/2/1
• Control of a Hexapod Robot Considering Terrain Interaction
  2021/12/1
• Design of a prototypical platform for autonomous and connected vehicles
  2021/6/1
• NMPC trajectory planner for urban autonomous driving
  2021/5/1
• Real-Time Forecasting of Driver-Vehicle Dynamics on 3D Roads: a Deep-Learning Framework Leveraging Bayesian Optimisation
  2021/3/1
• MPC path-planner for autonomous driving solved by genetic algorithm technique
  2021/2/1
• LiDAR point-cloud processing based on projection methods: a comparison
  2020/8/1
• Learning to drive via Apprenticeship Learning and Deep Reinforcement Learning
  2020/1/1