Results 91 to 100 of about 132,601 (211)

Programming Light‐Driven Surface Topographies in Liquid Crystal Elastomers for Potential Biomedical Applications Through Combined Experiments and Simulations

open access: yesAdvanced Materials Technologies, EarlyView.
A combined experimental and simulation study of light‐responsive liquid crystal elastomer surfaces operating under physiological conditions is reported, demonstrating programmable and highly spatially controlled topography formation through bottom‐side photomask exposure. Our study establishes a foundation for dynamic, light‐responsive biosurfaces with
Ruth M. C. Verbroekken   +4 more
wiley   +1 more source

The Diversification Discount: Cash Flows vs. Returns [PDF]

open access: yes
Diversified firms have different values than comparable portfolios of single-segment firms. These value differences must be due to differences in either future cash flows or future returns.
Owen Lamont, Christopher Polk
core  

Two‐Dimensional Isotropic Spatial Differentiation Through Complete Polarization Control

open access: yesAdvanced Optical Materials, EarlyView.
This work enables two‐dimensional isotropic spatial differentiation at planar interfaces over a wide range of incident angles by extending the output polarization from linear to elliptical. The choice of incident angle can be used to balance broader spectral response at low angles and higher edge‐detection efficiency at larger angles.
Doyoon Lee, Minkyung Kim
wiley   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

open access: yesAdvanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari   +4 more
wiley   +1 more source

How Should the Distant Future be Discounted when Discount Rates are Uncertain? [PDF]

open access: yes
It is not immediately clear how to discount distant-future events, like climate change, when the distant-future discount rate itself is uncertain. The so-called “Weitzman-Gollier puzzle” is the fact that two seemingly symmetric and equally plausible ways
Christian Gollier, Martin L. Weitzman
core  

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

open access: yesAdvanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo   +6 more
wiley   +1 more source

Stochastic Optimal Growth when the Discount Rate Vanishes [PDF]

open access: yes
It has been shown that long-run optimality of the limit of discounted optima when the discount rate vanishes is implied by a condition on the value function of the optimal program.
Kazuo Nishimura, John Stachurski
core  

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

open access: yesAdvanced 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

A Critique of the Stochastic Discount Factor Methodology [PDF]

open access: yes
In this paper, we point out that the widely used stochastic discount factor (SDF) methodology ignores a fully specified model for asset returns. As a result, it suffers from two potential problems when asset returns follow a linear factor model.
Guofu Zhou, Raymond Kan
core  

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

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