Gabriele Fadini

Orcid: 0000-0001-7330-5647

According to our database1, Gabriele Fadini authored at least 14 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Differentiable Environment-Trajectory Co-Optimization for Safe Multi-Agent Navigation.
CoRR, April, 2026

Whole-Body Inverse Dynamics MPC for Legged Loco-Manipulation.
IEEE Robotics Autom. Lett., January, 2026

2025
Differentiable Material Point Method for the Control of Deformable Objects.
CoRR, December, 2025

Bayesian Optimization for Automatic Tuning of Torque-Level Nonlinear Model Predictive Control.
CoRR, December, 2025

Rambo: RL-Augmented Model-Based Whole-Body Control for Loco-Manipulation.
IEEE Robotics Autom. Lett., September, 2025

Evolutionary Continuous Adaptive RL-Powered Co-Design for Humanoid Chin-Up Performance.
CoRR, September, 2025

RAMBO: RL-augmented Model-based Optimal Control for Whole-body Loco-manipulation.
CoRR, April, 2025

Addressing Reachability and Discrete Component Selection in Robotic Manipulator Design Through Kineto-Static Bi-Level Optimization.
IEEE Robotics Autom. Lett., March, 2025

Enhancing Robotic System Robustness via Lyapunov Exponent-Based Optimization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024
Co-designing versatile quadruped robots for dynamic and energy-efficient motions.
Robotica, 2024

Improving generalization of robot locomotion policies via Sharpness-Aware Reinforcement Learning.
CoRR, 2024

2023
A versatile co-design framework for simultaneous optimization of robots' hardware and control. (Un cadre générique de co-conception pour l'optimisation du design et de la commande des robots).
PhD thesis, 2023

2022
Simulation Aided Co-Design for Robust Robot Optimization.
IEEE Robotics Autom. Lett., 2022

2021
Computational design of energy-efficient legged robots: Optimizing for size and actuators.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021


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