Augmented dexterity: How robots can enhance human surgical skills | Science Robotics
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The rapid development of specific-purpose Large Language Models (LLMs), such as Med-
PaLM, MEDITRON-70B, and Med-Gemini, has significantly impacted healthcare, offering …

Surgery requires comprehensive medical knowledge, visual assessment skills, and
procedural expertise. While recent surgical AI models have focused on solving task-specific …

The dominant paradigm for end-to-end robot learning focuses on optimizing task-specific
objectives that solve a single robotic problem such as picking up an object or reaching a …

Exploiting the promise of recent advances in imitation learning for mobile manipulation will
require the collection of large numbers of human-guided demonstrations. This paper …

Historically, scientific discovery has been a lengthy and costly process, demanding
substantial time and resources from initial conception to final results. To accelerate scientific …

Robotic manipulators are widely used in various industries for complex and repetitive tasks.
However, they remain vulnerable to unexpected hardware failures. In this study, we address …

Large language model-based (LLM) agents are emerging as a powerful enabler of robust
embodied intelligence due to their capability of planning complex action sequences. Sound …

Automating suturing during robotically-assisted surgery reduces the burden on the operating
surgeon, enabling them to focus on making higher-level decisions rather than fatiguing …

Learning from Demonstration (LfD) is a useful paradigm for training policies that solve tasks
involving complex motions, such as those encountered in robotic manipulation. In practice …