Exited to share our new viewpoint paper in Science Robotics:
Accelerating discovery in natural science laboratories with AI and robotic perspectives and challanges".
The paper discusses how automation and AI can transform scientific discovery by taking over repetitive tasks, enabling flexible and robust experimentation, improving reproducibility , and unlocking new ways to manage and interpret complex data, while highlighting the challenges of integration, standardization, and ethics.
The paper reflects the perspectives of leading experts across various disciplines, aiming to spark a dialogue on the future of autonomous scientific discovery.
Co-authors: Andrew Cooper, Patrick Courtney, Kourosh Darvish, Moritz Eckhoff, Hatem Fakhruldeen Andrea Gabrielli, Animesh Garg, Sami Haddadin, Kanako Harada, Jason Hein, Maria Hubner, Dennis Knobbe, Gabriella Pizzuto, Florian Shkurti, Ruja Shrestha, Kerstin Thurow, Rafael Vescovi, Birgit Vogel-Heuser, Ádám Wolf, Naruki Yoshikawa, Yan (Helen) Zeng, Zhengxue Zhou, Henning Zwirnmann
