48 citations · 73 across the 15 of their papers we have counts for
16 papers
Tool-Policy Co-Design for Powder Weighing in Laboratory Automation
Nikola Radulov, Xin Yang, Kevin S. Luck +1
Autonomous powder weighing is one of many bottlenecks in laboratory automation due to the complex, non-linear dynamics of heterogeneous materials. Robot chemists performing this ta…
SAFE-CHEM: Uncertainty-Aware Policy Switching for Robust Robotic Chemistry
Laura Jones, Shazil Shahzad, Ayesha Sana +1
The deployment of autonomous robotic systems in chemistry laboratories is accelerating experimental workflows and providing the foundational data for AI-driven scientific discovery…
Learning Adaptive Force Control for Contact-Rich Sample Scraping with Heterogeneous Materials
Cenk Cetin, Shreyas Pouli, Gabriella Pizzuto
The increasing demand for accelerated scientific discovery, driven by global challenges, highlights the need for advanced AI-driven robotics. Deploying robotic chemists in human-ce…
Human-Aware Robot Behaviour in Self-Driving Labs
Satheeshkumar Veeramani, Anna Kisil, Abigail Bentley +3
Self-driving laboratories (SDLs) are rapidly transforming research in chemistry and materials science to accelerate new discoveries. Mobile robot chemists (MRCs) play a pivotal rol…
MATTERIX: toward a digital twin for robotics-assisted chemistry laboratory automation
Kourosh Darvish, Arjun Sohal, Abhijoy Mandal +20
Accelerated materials discovery is critical for addressing global challenges. However, developing new laboratory workflows relies heavily on real-world experimental trials, and thi…
Multimodal Behaviour Trees for Robotic Laboratory Task Automation
Hatem Fakhruldeen, Arvind Raveendran Nambiar, Satheeshkumar Veeramani +4
Laboratory robotics offer the capability to conduct experiments with a high degree of precision and reproducibility, with the potential to transform scientific research. Trivial an…
FLIP: Flowability-Informed Powder Weighing
Nikola Radulov, Alex Wright, Thomas Little +2
Autonomous manipulation of powders remains a significant challenge for robotic automation in scientific laboratories. The inherent variability and complex physical interactions of…
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 +20
Science laboratory automation enables accelerated discovery in life sciences and materials. However, it requires interdisciplinary collaboration to address challenges such as robus…
Modular, Multi-Robot Integration of Laboratories: An Autonomous Solid-State Workflow for Powder X-Ray Diffraction
Amy. M. Lunt, Hatem Fakhruldeen, Gabriella Pizzuto +9
Automation can transform productivity in research activities that use liquid handling, such as organic synthesis, but it has made less impact in materials laboratories, which requi…
Leveraging Multi-modal Sensing for Robotic Insertion Tasks in R&D Laboratories
Aaron Butterworth, Gabriella Pizzuto, Leszek Pecyna +2
Performing a large volume of experiments in Chemistry labs creates repetitive actions costing researchers time, automating these routines is highly desirable. Previous experiments…
What is missing in autonomous discovery: Open challenges for the community
Phillip M. Maffettone, Pascal Friederich, Sterling G. Baird +16
Self-driving labs (SDLs) leverage combinations of artificial intelligence, automation, and advanced computing to accelerate scientific discovery. The promise of this field has give…
Accelerating Laboratory Automation Through Robot Skill Learning For Sample Scraping
Gabriella Pizzuto, Hetong Wang, Hatem Fakhruldeen +3
The use of laboratory robotics for autonomous experiments offers an attractive route to alleviate scientists from tedious tasks while accelerating material discovery for topical is…
Efficient Learning of Inverse Dynamics Models for Adaptive Computed Torque Control
David Jorge, Gabriella Pizzuto, Michael Mistry
Modelling robot dynamics accurately is essential for control, motion optimisation and safe human-robot collaboration. Given the complexity of modern robotic systems, dynamics model…
ARChemist: Autonomous Robotic Chemistry System Architecture
Hatem Fakhruldeen, Gabriella Pizzuto, Jakub Glowacki +1
Automated laboratory experiments have the potential to propel new discoveries, while increasing reproducibility and improving scientists' safety when handling dangerous materials.…
SOLIS: Autonomous Solubility Screening using Deep Neural Networks
Gabriella Pizzuto, Jacopo de Berardinis, Louis Longley +2
Accelerating material discovery has tremendous societal and industrial impact, particularly for pharmaceuticals and clean energy production. Many experimental instruments have some…
At Your Service: Coffee Beans Recommendation From a Robot Assistant
Jacopo de Berardinis, Gabriella Pizzuto, Francesco Lanza +3
With advances in the field of machine learning, precisely algorithms for recommendation systems, robot assistants are envisioned to become more present in the hospitality industry.…