Results 231 to 240 of about 983,529 (297)

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

ECLed- a tool supporting the effective use of the SNOMED CT Expression Constraint Language. [PDF]

J Biomed Semantics
Ohlsen T, Sander A, Ingenerf J.
europepmc   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Geranium: Multimodal Retrieval of Genomics Data Visualizations. [PDF]

IEEE Trans Vis Comput Graph
Nguyen HN, L'Yi S, Smits TC, Gao S, Zitnik M, Gehlenborg N.   +5 more
europepmc   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Improved Arabic query expansion using word embedding. [PDF]

Sci Rep
Al-Lahham YA, Almatarneh S, Alshammari K, Al-Smadi M.   +3 more
europepmc   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
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

LiraSearch-ultrafast ligand shape and electrostatic matching server. [PDF]

Bioinform Adv
Montalvão RW, Bray S, Veríssimo-Alves M, Cubero E, Grüning B, Pinheiro VB.   +5 more
europepmc   +1 more source

Developing trustworthy AI for climate services at scale. [PDF]

NPJ Clim Action
Williams HTP, Abele A, Biswas A, Fung F, Lowe JA, Mittal N, Xie HX.   +6 more
europepmc   +1 more source

Feasibility of retrieval-augmented generation for large language models with Japanese input in radiotherapy. [PDF]

J Radiat Res
Takahashi Y, Kadoya N, Arai K, Tanno H, Tanaka S, Katsuta Y, Hoshino T, Harada H, Omata S, Yamamoto T, Umezawa R, Yasui K, Hayashi N, Jingu K.   +13 more
europepmc   +1 more source