Research outputs
2026
MATTERIX: toward a digital twin for robotics-assisted chemistry laboratory automation
Darvish, K., Sohal, A., Mandal, A., Fakhruldeen, H., Radulov, N., Zhou, Z., . . . Garg, A. (2026). MATTERIX: toward a digital twin for robotics-assisted chemistry laboratory automation. NATURE COMPUTATIONAL SCIENCE, 6(1). doi:10.1038/s43588-025-00924-4
2025
Accelerating discovery in natural science laboratories with AI and robotics: Perspectives and challenges
Cooper, A. I., Courtney, P., Darvish, K., Eckhoff, M., Fakhruldeen, H., Gabrielli, A., . . . Zwirnmann, H. (2025). Accelerating discovery in natural science laboratories with AI and robotics: Perspectives and challenges. SCIENCE ROBOTICS, 10(106). doi:10.1126/scirobotics.adv7932
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). doi:10.1109/ICRA55743.2025.11128408
2024
Accelerating Laboratory Automation Through Robot Skill Learning For Sample Scraping
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
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). Spatial communication systems across languages reflect universal action constraints. NATURE HUMAN BEHAVIOUR, 8(1), 181. doi:10.1038/s41562-023-01806-3
2023
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
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). Spatial communication systems across languages reflect universal action constraints. NATURE HUMAN BEHAVIOUR, 8(1). doi:10.1038/s41562-023-01697-4
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
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
Leveraging Multi-modal Sensing for Robotic Insertion Tasks in R&D Laboratories
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
What is missing in autonomous discovery: Open challenges for the community
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
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
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
Efficient Learning of Inverse Dynamics Models for Adaptive Computed Torque Control
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
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