Gabriella Pizzuto

Orcid: 0000-0002-8541-0759

According to our database1, Gabriella Pizzuto authored at least 18 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Learning Adaptive Force Control for Contact-Rich Sample Scraping with Heterogeneous Materials.
CoRR, March, 2026

MATTERIX: toward a digital twin for robotics-assisted chemistry laboratory automation.
Nat. Comput. Sci., January, 2026

Human-Aware Robot Behaviour in Self-Driving Labs.
Proceedings of the Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, 2026

2025
FLIP: Flowability-Informed Powder Weighing.
CoRR, June, 2025

Accelerating Discovery in Natural Science Laboratories with AI and Robotics: Perspectives and Challenges from the 2024 IEEE ICRA Workshop, Yokohama, Japan.
CoRR, January, 2025

Accelerating discovery in natural science laboratories with AI and robotics: Perspectives and challenges.
Sci. Robotics, 2025

Multimodal Behaviour Trees for Robotic Laboratory Task Automation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024
Accelerating Laboratory Automation Through Robot Skill Learning For Sample Scraping.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023
Powder-Bot: A Modular Autonomous Multi-Robot Workflow for Powder X-Ray Diffraction.
CoRR, 2023

Leveraging Multi-modal Sensing for Robotic Insertion Tasks in R&D Laboratories.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Efficient Learning of Inverse Dynamics Models for Adaptive Computed Torque Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

SOLIS: Autonomous Solubility Screening using Deep Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

ARChemist: Autonomous Robotic Chemistry System Architecture.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Physics-penalised Regularisation for Learning Dynamics Models with Contact.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020
From single words to compositional language via gestures: applications in robot language learning.
PhD thesis, 2020

At Your Service: Coffee Beans Recommendation From a Robot Assistant.
Proceedings of the HAI '20: 8th International Conference on Human-Agent Interaction, 2020

2019
Exploring Deep Models for Comprehension of Deictic Gesture-Word Combinations in Cognitive Robotics.
Proceedings of the International Joint Conference on Neural Networks, 2019

Modelling the Single Word to Multi-Word Transition Using Matrix Completion.
Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019


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