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2025

Multimodal Behaviour Trees for Robotic Laboratory Task Automation

Fakhruldeen, H., Nambiar, A. R., Veeramani, S., Tailor, B. V., Juneghani, H. B., Pizzuto, G., & Cooper, A. I. (2025). Multimodal Behaviour Trees for Robotic Laboratory Task Automation. In 2025 IEEE International Conference on Robotics and Automation (ICRA) (pp. 15872-15878). IEEE. doi:10.1109/icra55743.2025.11128408

DOI: 10.1109/icra55743.2025.11128408
: Conference Paper

2024

Accelerating Laboratory Automation Through Robot Skill Learning For Sample Scraping*

Pizzuto, G., Wang, H., Fakhruldeen, H., Peng, B., Luck, K. S., & Cooper, A. I. (2024). Accelerating Laboratory Automation Through Robot Skill Learning For Sample Scraping*. In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE) (pp. 2103-2110). IEEE. doi:10.1109/case59546.2024.10711291

DOI: 10.1109/case59546.2024.10711291
: Conference Paper

Modular, multi-robot integration of laboratories: an autonomous workflow for solid-state chemistry.

Lunt, A. M., Fakhruldeen, H., Pizzuto, G., Longley, L., White, A., Rankin, N., . . . Chong, S. Y. (2024). Modular, multi-robot integration of laboratories: an autonomous workflow for solid-state chemistry.. Chemical science, 15(7), 2456-2463. doi:10.1039/d3sc06206f

DOI: 10.1039/d3sc06206f
: Journal article

Author Correction: Spatial communication systems across languages reflect universal action constraints.

Coventry, K. R., Gudde, H. B., Diessel, H., Collier, J., Guijarro-Fuentes, P., Vulchanova, M., . . . Incel, O. D. (2024). Author Correction: Spatial communication systems across languages reflect universal action constraints.. Nature human behaviour, 8(1), 181. doi:10.1038/s41562-023-01806-3

DOI: 10.1038/s41562-023-01806-3
: Journal article

2023

Spatial communication systems across languages reflect universal action constraints.

Coventry, K. R., Gudde, H. B., Diessel, H., Collier, J., Guijarro-Fuentes, P., Vulchanova, M., . . . Incel, O. D. (2023). Spatial communication systems across languages reflect universal action constraints.. Nature human behaviour, 7(12), 2099-2110. doi:10.1038/s41562-023-01697-4

DOI: 10.1038/s41562-023-01697-4
: Journal article

What is missing in autonomous discovery: open challenges for the community

Maffettone, P. M., Friederich, P., Baird, S. G., Blaiszik, B., Brown, K. A., Campbell, S. I., . . . Sun, S. (2023). What is missing in autonomous discovery: open challenges for the community. Digital Discovery, 2(6), 1644-1659. doi:10.1039/d3dd00143a

DOI: 10.1039/d3dd00143a
: Journal article

Go with the flow: deep learning methods for autonomous viscosity estimations.

Walker, M., Pizzuto, G., Fakhruldeen, H., & Cooper, A. I. (2023). Go with the flow: deep learning methods for autonomous viscosity estimations.. Digital discovery, 2(5), 1540-1547. doi:10.1039/d3dd00109a

DOI: 10.1039/d3dd00109a
: Journal article

Modular, Multi-Robot Integration of Laboratories: An Autonomous Solid-State Workflow for Powder X-Ray Diffraction

: Preprint

Leveraging Multi-modal Sensing for Robotic Insertion Tasks in R&D Laboratories

Butterworth, A., Pizzuto, G., Pecyna, L., Cooper, A. I., & Luo, S. (2023). Leveraging Multi-modal Sensing for Robotic Insertion Tasks in R&D Laboratories. In 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) (pp. 1-8). IEEE. doi:10.1109/case56687.2023.10260414

DOI: 10.1109/case56687.2023.10260414
: Conference Paper

Leveraging Multi-modal Sensing for Robotic Insertion Tasks in R&D Laboratories

DOI: 10.48550/arxiv.2307.00671
: Preprint

Autonomous biomimetic solid dispensing using a dual-arm robotic manipulator

Jiang, Y., Fakhruldeen, H., Pizzuto, G., Longley, L., He, A., Dai, T., . . . Cooper, A. I. (2023). Autonomous biomimetic solid dispensing using a dual-arm robotic manipulator. Digital Discovery, 2(6), 1733-1744. doi:10.1039/d3dd00075c

DOI: 10.1039/d3dd00075c
: Journal article

What is missing in autonomous discovery: Open challenges for the community

DOI: 10.48550/arxiv.2304.11120
: Preprint

2022

Efficient Learning of Inverse Dynamics Models for Adaptive Computed Torque Control

Jorge, D., Pizzuto, G., & Mistry, M. (2022). Efficient Learning of Inverse Dynamics Models for Adaptive Computed Torque Control. In 2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (pp. 11203-11208). doi:10.1109/IROS47612.2022.9981744

DOI: 10.1109/IROS47612.2022.9981744
: Conference Paper

SOLIS: Autonomous Solubility Screening using Deep Neural Networks

Pizzuto, G., De Berardinis, J., Longley, L., Fakhruldeen, H., & Cooper, A. I. (2022). SOLIS: Autonomous Solubility Screening using Deep Neural Networks. In 2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). doi:10.1109/IJCNN55064.2022.9892533

DOI: 10.1109/IJCNN55064.2022.9892533
: Conference Paper

Accelerating Laboratory Automation Through Robot Skill Learning For Sample Scraping

DOI: 10.48550/arxiv.2209.14875
: Preprint

ARChemist: Autonomous Robotic Chemistry System Architecture

Fakhruldeen, H., Pizzuto, G., Glowacki, J., & Cooper, A. I. (2022). ARChemist: Autonomous Robotic Chemistry System Architecture. In 2022 International Conference on Robotics and Automation (ICRA) (pp. 6013-6019). IEEE. doi:10.1109/icra46639.2022.9811996

DOI: 10.1109/icra46639.2022.9811996
: Conference Paper

Efficient Learning of Inverse Dynamics Models for Adaptive Computed Torque Control

DOI: 10.48550/arxiv.2205.04796
: Preprint

2020

At Your Service

de Berardinis, J., Pizzuto, G., Lanza, F., Chella, A., Meira, J., & Cangelosi, A. (2020). At Your Service. In Proceedings of the 8th International Conference on Human-Agent Interaction (pp. 257-259). ACM. doi:10.1145/3406499.3418765

DOI: 10.1145/3406499.3418765
: Conference Paper