A Cable-Based Gripper for Chemistry Labs. - Lupo Manes; Sebastiano Fichera; David Marquez-Gamez; Andrew I. Cooper; Paolo Paoletti (TAROS, 2020)

Development of a ROS Driver and Support Stack for the KMR iiwa Mobile Manipulator. - Hatem Fakhruldeen; David Marquez-Gamez; Andrew I. Cooper (TAROS, 2021)

Fast predictions of lattice energies by continuous isometry invariants of crystal structures. - Jakob Ropers; Marco M. Mosca; Olga Anosova; Vitaliy Kurlin; Andrew I. Cooper (CoRR, 2021)

Easily computable continuous metrics on the space of isometry classes of all 2-dimensional lattices. - Matthew Bright; Andrew I. Cooper; Vitaliy Kurlin (CoRR, 2021)

A complete and continuous map of the Lattice Isometry Space for all 3-dimensional lattices. - Matthew Bright; Andrew I. Cooper; Vitaliy Kurlin (CoRR, 2021)

Crystallography companion agent for high-throughput materials discovery. - Phillip M. Maffettone; Lars Banko; Peng Cui; Yury Lysogorskiy; Marc A. Little; Daniel Olds; Alfred Ludwig; Andrew I. Cooper (Nat. Comput. Sci., 2021)

ARChemist: Autonomous Robotic Chemistry System Architecture. - Hatem Fakhruldeen; Gabriella Pizzuto; Jakub Glowacki; Andrew Ian Cooper (ICRA, 2022)

SOLIS: Autonomous Solubility Screening using Deep Neural Networks. - Gabriella Pizzuto; Jacopo de Berardinis; Louis Longley; Hatem Fakhruldeen; Andrew I. Cooper (IJCNN, 2022)

Leveraging Multi-modal Sensing for Robotic Insertion Tasks in R&D Laboratories. - Aaron Butterworth; Gabriella Pizzuto; Leszek Pecyna; Andrew I. Cooper; Shan Luo 001 (CASE, 2023)

Domain Knowledge Injection in Bayesian Search for New Materials. - Zikai Xie; Xenophon Evangelopoulos; Joseph C. R. Thacker; Andrew I. Cooper (ECAI, 2023)

HypBO: Expert-Guided Chemist-in-the-Loop Bayesian Search for New Materials. - Abdoulatif Cissé; Xenophon Evangelopoulos; Sam Carruthers; Vladimir V. Gusev; Andrew I. Cooper (CoRR, 2023)

Powder-Bot: A Modular Autonomous Multi-Robot Workflow for Powder X-Ray Diffraction. - Amy M. Lunt; Hatem Fakhruldeen; Gabriella Pizzuto; Louis Longley; Alexander White; Nicola Rankin; Rob Clowes; Ben M. Alston; Andrew I. Cooper; Samantha Y. Chong (CoRR, 2023)

Accelerating Laboratory Automation Through Robot Skill Learning For Sample Scraping. - Gabriella Pizzuto; Hetong Wang; Hatem Fakhruldeen; Bei Peng 001; Kevin S. Luck; Andrew I. Cooper (CASE, 2024)

HypBO: Accelerating Black-Box Scientific Experiments Using Experts' Hypotheses. - Abdoulatif Cissé; Xenophon Evangelopoulos; Sam Carruthers; Vladimir V. Gusev; Andrew I. Cooper (IJCAI, 2024)

Accelerating Discovery in Natural Science Laboratories with AI and Robotics: Perspectives and Challenges from the 2024 IEEE ICRA Workshop, Yokohama, Japan. - Andrew I. Cooper; Patrick Courtney; Kourosh Darvish; Moritz Eckhoff; Hatem Fakhruldeen; Andrea Gabrielli; Animesh Garg; Sami Haddadin; Kanako Harada; Jason Hein; Maria Hübner; Dennis Knobbe; et al. (CoRR, 2025)

Language-Based Bayesian Optimization Research Assistant (BORA). - Abdoulatif Cissé; Xenophon Evangelopoulos; Vladimir V. Gusev; Andrew I. Cooper (CoRR, 2025)

An Open-source Capping Machine Suitable for Confined Spaces. - Francisco Munguia-Galeano; Louis Longley; Satheeshkumar Veeramani; Zhengxue Zhou; Rob Clowes; Hatem Fakhruldeen; Andrew I. Cooper (CoRR, 2025)

FLIP: Flowability-Informed Powder Weighing. - Nikola Radulov; Alex Wright; Thomas Little; Andrew I. Cooper; Gabriella Pizzuto (CoRR, 2025)

Multimodal Behaviour Trees for Robotic Laboratory Task Automation. - Hatem Fakhruldeen; Arvind Raveendran Nambiar; Satheeshkumar Veeramani; Bonilkumar Vijaykumar Tailor; Hadi Beyzaee Juneghani; Gabriella Pizzuto; Andrew Ian Cooper (CoRR, 2025)