Results 191 to 200 of about 57,511 (238)

APMSR: an intelligent QA system for synthetic biology empowered by adaptive prompting and multi-source knowledge retrieval. [PDF]

Sci Rep
Wang J, Cao Z, Tian Z, Sun B, Cheng L.
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

OEMA: ontology-enhanced multi-agent collaboration framework for zero-shot clinical named entity recognition. [PDF]

JAMIA Open
Tao X, Dong X, Zhu Q, Zhou X.
europepmc   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

SSE-TSR: An Approach to Integrate Secondary Structure Elements Into Triangular Spatial Relationships for Protein Classification. [PDF]

IEEE Trans Comput Biol Bioinform
Khajouie P, Sarkar T, Rauniyar K, Chen L, Xu W, Raghavan V.   +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

Performance of Enhanced Large Language Models on Prosthodontic Multiple-Choice Questions. [PDF]

Int Dent J
Gao S, Wang ZA, Gao Z, Liu J, Zhang H, Pan S, Zhou Y.   +6 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

Cohort-Aware Agents for Individualized Lung Cancer Risk Prediction Using a Retrieval-Augmented Model Selection Framework. [PDF]

Proc SPIE Int Soc Opt Eng
Qu C, Luna AJ, Li TZ, Zhu J, Guo J, Xiong J, Sandler KL, Landman BA, Huo Y.   +8 more
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