Results 221 to 230 of about 291,249 (309)

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

Deep Learning for Content-Based Medical Image Retrieval in Picture Archiving and Communication Systems for Brain Tumor Detection: Algorithm Development and Validation. [PDF]

JMIR Med Inform
Lee CL, Hsu TH, Wu YT, Guo WY, Chu WC, Lien CY.   +5 more
europepmc   +1 more source

Dual‐Functional Ingestible Passive Capsules for High‐Throughput Intestinal Sampling with Sealed Containment and Targeted Drug Delivery

Advanced Robotics Research, EarlyView.
To address challenges in high‐throughput intestinal sampling with sealed containment and target drug delivery, we developed a dual‐functional ingestible passive capsule with a dual‐triggered control system based on pH‐response and mechanical actuation.
Libing Huang, Houyu Ling, Xizong Chen, Yufei Duan, Yu Liu, Shuntian Cai, Yandan Ren, Wenlong Li, Lei Ren, Miao Wang   +9 more
wiley   +1 more source

Construction of a data-driven knowledge discovery path from the perspective of intelligent academic evaluation: an empirical study based on institutional repository and solr technology. [PDF]

Sci Rep
Lu L, Yang B, Wang X.
europepmc   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

<i>In vivo</i> endoscopic visualization of the Micra AV2 retrieval interface. [PDF]

Eur Heart J Case Rep
Yoshida A, Hashimoto K, Nishiguchi T, Ichikawa M.   +3 more
europepmc   +1 more source

Degradable Magnetic Composites from Recycled NdFeB Magnets for Soft Actuation and Sensing

Advanced Robotics Research, EarlyView.
This work presents a degradable soft magnetic composite made from recycled NdFeB particles embedded in a gelatin‐based organogel. The material is processed into magnetic sensors and soft robotic components, which can later be dissolved in a green solvent to recover NdFeB magnetic particles.
Muhammad Bilal Khan, Lin Guo, Kilian Schäfer, Eduardo Sergio Oliveros‐Mata, Xiaotao Wang, Florian Hofmann, Matthias Lutzi, Mark Suppelt, Proloy Taran Das, Jan Schmidtpeter, Imants Dirba, Stephan Rinderknecht, Mario Kupnik, Denys Makarov, Oliver Gutfleisch   +14 more
wiley   +1 more source

The Influence of Varying Degrees of Enactability on the Enactment Effect in Action Memory During the Encoding and Retrieval Stages: A Study with Healthy Young Adults. [PDF]

Behav Sci (Basel)
Cao H, Li G.
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

Unlocking electronic health records: a hybrid graph RAG approach to safe clinical AI for patient QA. [PDF]

Front Digit Health
Thio S, Lewis M, Denaxas S, Dobson RJB.
europepmc   +1 more source