TimeX: Phenotype Onset Extraction from Clinical Narratives. [PDF]
Chen F +6 more
europepmc +1 more source
Temporal Reasoning in Nested Temporal Networks with Alternatives [PDF]
Roman Barták +2 more
openaire +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
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 +4 more
wiley +1 more source
Context-aware temporal synthesis for scene, entity, and event inference from silent image. [PDF]
Rokaya M +3 more
europepmc +1 more source
On–Off Switchable Micromotors for Use in Steerable Microvehicles
Electrically controllable micromotors and microvehicles are developed by tuning the diffusion of the fuel. Self‐propelled micromotors using bubble propulsion show great promise for miniaturized devices with multiuse purposes such as cargo delivery and sensing. However, there is currently no method to electrically switch the micromotors on or off. Here,
Hugo Severinsson +3 more
wiley +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
A path planning approach for ship collision avoidance integrating BRB reasoning and velocity obstacle algorithm. [PDF]
Zheng M, Wang S, Tu H, Lu Q.
europepmc +1 more source
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
ST-GICM: A Spatiotemporal Graph Learning Framework with Intrinsic Curiosity for Robust Autonomous Exploration. [PDF]
He L, Liu W, Li W.
europepmc +1 more source

