Results 51 to 60 of about 4,886,192 (241)
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
Background Despite apparently curative treatment, many patients with colorectal cancer develop subsequent metastatic disease. Current prognostic models are criticised because they are based on standard staging and omit novel biomarkers.
Vicky Goh +10 more
doaj +1 more source
From Rigid to Soft Robotic Approaches for Neuroendoscopy
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday +3 more
wiley +1 more source
Background Whole-school interventions modify the school environment to promote health. A subset of these interventions promotes student commitment to school to prevent substance (tobacco, alcohol, other drugs) use and/or violence.
Ruth Ponsford +4 more
doaj +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
Tumbling Magnetic Microrobots for Targeted In Vivo Drug Delivery in the GI Tract
We introduce a microrobot design and integrated system for on‐demand targeted drug release in the gastrointestinal tract. The microrobot has an embedded magnet for actuation with external magnetic fields and is visualized in real time using ultrasound. It has two drug release ports sealed with a thermally sensitive wax. Local heating of the wax using a
Aaron C. Davis +7 more
wiley +1 more source
Evaluation of A Self-Instructional Package for Teaching Parents to Conduct Discrete-Trials Teaching with Children with Autism [PDF]
Early Intensive Behavioral Intervention (EIBI) is a treatment for children with Autism spectrum disorder (ASD) that uses the principles of applied behavior analysis. Discrete- trials teaching (DTT) is commonly used in EIBI as a method for teaching children with ASD.
openaire +3 more sources
Evaluation of Interactive Computerized Training to Teach Paraprofessionals How to Implement Errorless Discrete Trial Instruction [PDF]
As special education classrooms continue to rely on paraprofessionals to implement interventions, provide instructions, and monitor student progress— it is imperative paraprofessionals are well trained.
Gerencser, Kristina R.
core +1 more source
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
Sequential Analyses of Discrete-Trial Teaching
Discrete-trial teaching (DTT) is often used to teach academic and other skills to learners with intellectual disabilities. Traditionally, DTT data have been analysed using whole-sessions methods in which data collected across the duration of the study ...
Brand, Denys
core

