Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Cognitive near-singularity: a possibility theorem and a witness-based protocol with a corpus case study. [PDF]
Williams AE.
europepmc +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Congestion … Sinister … Vena Amoris … and the LOVE ♥ of Microsurgery. [PDF]
Hong JP, Innocenti M, Hallock GG.
europepmc +1 more source
Who bears liability when AI gives bad prescribing advice. [PDF]
Etkin JS, Joralemon V.
europepmc +1 more source
Living the Charisms of the Sovereign Military Order of Malta in Modern Medicine:Catholic Healthcare Professionals Enact Malta's Principles in Routine Patient Care. [PDF]
Kozak R.
europepmc +1 more source
HIV-Associated Microstructural Abnormalities in Default Mode, Executive Control, and Salience Networks: Insights from Tensor-Valued Diffusion Encoding. [PDF]
Uddin MN +5 more
europepmc +1 more source
The impact of India-ASEAN free trade agreement on trade flows: An application of augmented gravity model. [PDF]
Arote P +5 more
europepmc +1 more source

