Year: 2026
Type: article
Abstract: Self-driving laboratories (SDLs) combine robotics with algorithmic decision-making to autonomously design, execute, and analyze experiments, and deftly explore the large, high-dimensional parameter spaces that confound conventional experimental approaches. This Perspective examines autonomous robotics’ roles in SDLs, challenges currently limiting generalizability and scalability, and emerging innovations in robotics could address them, thereby highlighting how the integration of advanced robotics could enable far more rapid, reproducible, and accessible experimentation across disciplines.
Source: npj Robotics
Institution: North Carolina State University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,990
OpenAlex ID: W7161398017
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