Results 41 to 50 of about 101,837 (275)

Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains

open access: yesAdvanced Robotics Research, EarlyView.
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao   +3 more
wiley   +1 more source

On Hahn-Banach theorem and some of its applications

open access: yesOpen Mathematics, 2022
First, this work provides an overview of some of the Hahn-Banach type theorems. Of note, some of these extension results for linear operators found recent applications to isotonicity of convex operators on a convex cone.
Olteanu Octav
doaj   +1 more source

Estimating the spectral gap of a trace-class Markov operator

open access: yes, 2019
The utility of a Markov chain Monte Carlo algorithm is, in large part, determined by the size of the spectral gap of the corresponding Markov operator. However, calculating (and even approximating) the spectral gaps of practical Monte Carlo Markov chains
Hobert, James P.   +2 more
core   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

open access: yesAdvanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek   +3 more
wiley   +1 more source

Transfunctions Applied to Plans, Markov Operators and Optimal Transport

open access: yesAnnales Mathematicae Silesianae
A transfunction is a function which maps between sets of finite measures on measurable spaces. In this paper we characterize transfunctions that correspond to Markov operators and to plans; such a transfunction will contain the “instructions” common to ...
Bentley Jason, Mikusiński Piotr
doaj   +1 more source

Fermionic duality: General symmetry of open systems with strong dissipation and memory

open access: yesSciPost Physics, 2021
We consider the exact time-evolution of a broad class of fermionic open quantum systems with both strong interactions and strong coupling to wide-band reservoirs.
Valentin Bruch, Konstantin Nestmann, Jens Schulenborg, Maarten R. Wegewijs
doaj   +1 more source

Markov uniqueness of degenerate elliptic operators [PDF]

open access: yes, 2009
Let $\Omega$ be an open subset of $\Ri^d$ and $H_\Omega=-\sum^d_{i,j=1}\partial_i c_{ij} \partial_j$ a second-order partial differential operator on $L_2(\Omega)$ with domain $C_c^\infty(\Omega)$ where the coefficients $c_{ij}\in W^{1,\infty}(\Omega ...
Robinson, Derek W., Sikora, Adam
core  

Coupling methods for random topological Markov chains

open access: yes, 2014
We apply coupling techniques in order to prove that the transfer operators associated with random topological Markov chains and non-stationary shift spaces with the big images and preimages-property have a spectral gap.Comment: 17 ...
Stadlbauer, Manuel
core   +1 more source

Iterates of Markov operators

open access: yesJournal of Approximation Theory, 1976
AbstractIn this paper we consider iterates of Markov operators of the form Φf(x)=∑j=0mf(jmϕj(x) where the ϑj's are linearly independent, nonnegative and sum to 1. We define the evaluation matrix of Φ to be Φ∗ = [ϑj(im)] and prove that the iterates of the operator converge in the operator norm if and only if the powers of the evaluation matrix converge.
Nielson, G.M   +2 more
openaire   +2 more sources

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao   +4 more
wiley   +1 more source

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