Results 131 to 140 of about 11,560,820 (354)
Random model trees: an effective and scalable regression method
We present and investigate ensembles of randomized model trees as a novel regression method. Such ensembles combine the scalability of tree-based methods with predictive performance rivaling the state of the art in numeric prediction.
Pfahringer, Bernhard
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Scalable Task Planning via Large Language Models and Structured World Representations
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
Improved allometric models to estimate the aboveground biomass of tropical trees
J. Chave +23 more
semanticscholar +1 more source
The Integral Trees with Spectral Radius 3
There are eleven integral trees with largest eigenvalue 3.Integral graphs;graph spectra ...
Brouwer, A.E., Haemers, W.H.
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Collision‐Resilient Winged Drones Enabled by Tensegrity Structures
Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui +5 more
wiley +1 more source
Annual progress report 2013: CGIAR Research Program on Forests, Trees and Agroforestry
Annual progress report 2013: CGIAR Research Program on Forests, Trees and Agroforestry ...
CGIAR Research Program on Forests, Trees and Agroforestry
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The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
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
Representation Theorems of $\mathbb{R}$-trees and Brownian Motions Indexed by $\mathbb R$-trees
We provide a new representation of an $\mathbb R$-tree by using a special set of metric rays. We have captured the four-point condition from these metric rays and shown an equivalence between the $\mathbb R$-trees with radial and river metrics, and these sets of metric rays.
Aksoy, Asuman Güven +2 more
openaire +2 more sources
Muscle Control of an Extra Robotic Digit
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ +7 more
wiley +1 more source
Annual report 2016: CGIAR Research Program on Forests, Trees and Agroforestry
CGIAR Research Program on Forests, Trees and Agroforestry 2016 Annual ...
CGIAR Research Program on Forests, Trees and Agroforestry
core

