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Carlotta Sartore

5 accepted papers

2026

Contact-Aware Morphology Optimization via Physically Consistent Differentiable Simulation

RA-L 2026

Optimizing robot morphology and behavior remains an open challenge, primarily because hardware parameters affect system and contact dynamics, and naive parametrization can yield physically inconsistent designs and unreliable gradients. We propose a simulation-based co-design approach for gradient-ba

Cited by 0SourceScholar
2025

Maximising Tolerance to Disturbances via Combined Control-Actuation Optimisation for Robust Humanoid Robot Walking

RA-L 2025

Combined optimisation of various robot subsystems as a co-design problem has been shown to identify performant robots. However, classical optimisation methods result in point-optimum solutions that may not ensure robust performance and physical feasibility, i.e., the existence of components with spe

Cited by 1SourceScholar
2025

Multi-Objective Optimization of Humanoid Robot Hardware and Control for Multiple Tasks via Genetic Algorithms

IROS 2025

The optimization of hardware and control of humanoid robots for multiple tasks is still an open challenge due to the competing objectives of different behaviors and the complexity of considering control architectures at the design level of a humanoid robot. In this work, we propose a unified multi-o

Cited by 0SourceScholar
2023

A Control Approach for Human-Robot Ergonomic Payload Lifting

ICRA 2023poster

Collaborative robots can relief human operators from excessive efforts during payload lifting activities. Modelling the human partner allows the design of safe and efficient collaborative strategies. In this paper, we present a control approach for human-robot collaboration based on human monitoring…

Cited by 10SourceScholar
2019

Control and Perception Framework for Deep Sea Mining Exploration

IROS 2019poster

This paper presents the control and perception framework used in the ROBUST EU Horizon 2020 project, aimed at integrate different technologies for developing an underwater autonomous robotic system for exploring deep-sea mining sites. The vehicle firstly collects data of the initial zone of interest…

Cited by 18SourceScholar