Results 151 to 160 of about 2,203,825 (301)

Núm. 12 (2014): Enero-Diciembre

open access: yesRevista Visión Contable, 2014
Revista Visión Contable
doaj  

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

Núm. 14 (2016): Enero-Diciembre

open access: yesRevista Visión Contable, 2016
Revista Visión Contable
doaj  

Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review

open access: yesAdvanced Robotics Research, EarlyView.
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang   +14 more
wiley   +1 more source

Núm. 7 (2009): Enero-Junio

open access: yesRevista Visión Contable, 2017
Revista Visión Contable
doaj  

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

Evaluadores Núm. 15

open access: yesRevista Visión Contable, 2017
Revista Visión Contable
doaj  

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