Results 151 to 160 of about 3,587,529 (301)

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

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

open access: yesAdvanced 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

Fiscal Year 2025

open access: yes
Summary version providing highlights from the annual financial report of the Teacher Retirement System of Texas documenting income, expenditures, and other relevant financial information for fiscal year ...
Teacher Retirement System of Texas
core  

Measuring teacher and school effectiveness at improving student achievement in Los Angeles elementary schools [PDF]

open access: yes
This study uses longitudinal student-level test score data to examine the effectiveness of elementary teachers and schools in Los Angeles. The results show that teacher effectiveness varies widely both across the Los Angeles school district and within ...
Buddin, Richard
core  

Prospective teacher selection [PDF]

open access: yesJournal of Chemical Education, 1936
openaire   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced 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

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