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
Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley +1 more source
Comfort zone: Model or metaphor? [PDF]
The comfort zone model is widespread within adventure education literature. It is based on the belief that when placed in a stressful situation people will respond by overcoming their fear and therefore grow as individuals. This model is often presented
Brown, Mike
core +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
Endogenous Norm Formation Over the Life Cycle – The Case of Tax Evasion [PDF]
This paper offers an explanation to why the general observation that elderly hold stronger moral attitudes than young ones may be an age rather than a cohort effect. We apply mechanisms from social psychology to explain how personal norms may evolve over
Nordblom, Katarina, Zamac, Jovan
core
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source
Delay and Deservingness after Winning the Lottery [PDF]
Economics rests upon a set of presumptions about how human beings are affected by income. Yet causal evidence is scant. This paper reports a longitudinal study of randomly selected lottery winners.
Andrew J. Oswald, Rainer Winkelmann
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Cognitive Dissonance and Its Effects on Religious Beliefs [PDF]
How does an individual change his or her own religious beliefs when contrary evidence is presented? Cognitive dissonance affects Christian college students’ beliefs about a specific religious practice—speaking in tongues.
Melvin, Justin Richard
core
Sleep Alters the Velocity of Physiological Brain Pulsations in Humans
Sleep alters I/CSF oscillatory flow, driven by increased respiratory (29%) and vasomotor pulsation (21%) velocities, while cardiovascular pulsations decreased by (22%). Velocity is quantified using optical flow analysis of MREG data. Spectral power increases alongside these pulsations (spatial correlation, r = 0.35 and r = 0.39, respectively ...
Ahmed Elabasy +13 more
wiley +1 more source
Cognitive dissonance, risk aversion and the pretrial negotiation impasse [PDF]
There exist evidence that asymmetrical information do exist between litigants: not in a way supporting Bebchuk (1984)'s assumption that defendants' degree of fault is a private information, but more likely, as a result of parties' predictive power of the
Langlais, Eric
core +1 more source

