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This paper focuses on the kinematic properties of a new three-degree-of-freedom hybrid manipulator. This manipulator is obtained by adding in series to a five-bar planar mechanism (similar to the one studied by Bajpai and Roth) a third…

机器人学 · 计算机科学 2007-05-23 Damien Chablat , Philippe Wenger , Jorge Angeles

Although parallel manipulators (PMs) started with the introduction of architectures with 6 Degrees of Freedom (DoF), a vast number of applications require less than 6 DoF. Consequently, scholars have proposed architectures with 3 DoF and 4…

This article presents a new three-degree-of-freedom (3-DOF) parallel mechanism (PM) with two translations and one rotation (2T1R), designed based on the topological design theory of the parallel mechanism using position and orientation…

机器人学 · 计算机科学 2023-06-23 Huiping Shen , Zhongqiu Du , Damien Chablat , Ju Li , Guanglei Wu

Several recently released humanoid robots, inspired by the mechanical design of Cassie, employ actuator configurations in which the motors are displaced from the joints to reduce leg inertia. While studies accounting for the full kinematic…

机器人学 · 计算机科学 2025-10-09 Victor Lutz , Ludovic de Matteis , Virgile Batto , Nicolas Mansard

In this work, we utilize discrete geometric mechanics to derive a 2nd-order variational integrator so as to simulate rigid body dynamics. The developed integrator is to simulate the motion of a free rigid body and a quad-rotor. We…

最优化与控制 · 数学 2020-05-18 Mahmoud Abdelgalil , Asmaa Eldesoukey , Esraa Elshabrawy , Mostafa Abdalla

The paper presents advancement of the matrix structural analysis technique (MSA) for stiffness modeling of robotic manipulators. In contrast to the classical MSA, it can be applied to both parallel and serial manipulators composed of…

机器人学 · 计算机科学 2018-05-30 Alexandr Klimchik , Damien Chablat , Anatol Pashkevich

This paper provides a new avenue for exploiting deep neural networks to improve physics-based simulation. Specifically, we integrate the classic Lagrangian mechanics with a deep autoencoder to accelerate elastic simulation of deformable…

机器学习 · 计算机科学 2021-02-23 Siyuan Shen , Yang Yin , Tianjia Shao , He Wang , Chenfanfu Jiang , Lei Lan , Kun Zhou

A high-performance parallel algorithm is proposed for modeling the propagation of acoustic and elastic waves in inhomogeneous media. An initial boundary-value problem is replaced by a series of boundary-value problems for a constant…

数值分析 · 数学 2011-01-25 Alexey G. Fatyanov , Andrew V. Terekhov

This paper presents a unified approach for inverse and direct dynamics of constrained multibody systems that can serve as a basis for analysis, simulation, and control. The main advantage of the formulation of the dynamic is that it does…

系统与控制 · 电气工程与系统科学 2022-11-01 Farhad Aghili

Solving partial differential equations (PDEs) efficiently is essential for analyzing complex physical systems. Recent advancements in leveraging deep learning for solving PDE have shown significant promise. However, machine learning…

机器学习 · 计算机科学 2024-02-16 Ruichen Li , Chuwei Wang , Haotian Ye , Di He , Liwei Wang

This article presents a new approach to the real-time solution of inverse problems on embedded systems. The class of problems addressed corresponds to ordinary differential equations (ODEs) with generalized linear constraints, whereby the…

离散数学 · 计算机科学 2014-06-03 Christoph Gugg , Matthew Harker , Paul O'Leary , Gerhard Rath

Parallel kinematic mechanisms are interesting alternative designs for machining applications. Three 2-DOF parallel mechanism architectures dedicated to machining applications are studied in this paper. The three mechanisms have two constant…

机器人学 · 计算机科学 2007-07-26 Philippe Wenger , Clément Gosselin , Damien Chablat

We introduce a forward-backward-forward (FBF) algorithm for solving bilevel equilibrium problem associated with bifunctions on a real Hilbert space. This modifies the forward-backward algorithm by relaxing cocoercivity with monotone and…

最优化与控制 · 数学 2024-03-19 Kanchan Mittal , Pankaj Gautam , V. Vetrivel

The forward-backward splitting algorithm is a popular operator-splitting method for solving monotone inclusion of the sum of a maximal monotone operator and a cocoercive operator. In this paper, we present a new convergence analysis of a…

泛函分析 · 数学 2019-08-30 Fuying Cui , Yuchao Tang , Chuanxi Zhu

We present the numerical methods and GPU-accelerated implementation underlying a Total Lagrangian finite element framework for finite-deformation flexible multibody dynamics, introduced in the companion paper [1]. The framework supports…

计算工程、金融与科学 · 计算机科学 2026-05-04 Zhenhao Zhou , Ruochun Zhang , Ganesh Arivoli , Dan Negrut

The simulation-to-reality (sim-to-real) transfer of large-scale hydraulic robots presents a significant challenge in robotics because of the inherent slow control response and complex fluid dynamics. The complex dynamics result from the…

机器人学 · 计算机科学 2026-01-19 Minho Lee , Hyeonseok Kim , Jin Tak Kim , Sangshin Park , Jeong Hyun Lee , Jungsan Cho , Jemin Hwangbo

The paper presents a new stiffness modelling method for multi-chain parallel robotic manipulators with flexible links and compliant actuating joints. In contrast to other works, the method involves a FEA-based link stiffness evaluation and…

机器人学 · 计算机科学 2008-10-07 Anatoly Pashkevich , Damien Chablat , Philippe Wenger

Recursive matrix relations for kinematics and dynamics of the Orthoglide parallel robot having three concurrent prismatic actuators are established in this paper. These are arranged according to the Cartesian coordinate system with fixed…

机器人学 · 计算机科学 2009-10-21 Damien Chablat , Philippe Wenger , Stefan Staicu

We propose a forward-backward splitting dynamical system for solving inclusion problems of the form $0\in A(x)+B(x)$ in Hilbert spaces, where $A$ is a maximal operator and $B$ is a single-valued operator. Involved operators are assumed to…

最优化与控制 · 数学 2024-07-12 Nam V Tran , Hai T. T. Le , An V. Truong , Vuong T. Phan

We present a method for efficient differentiable simulation of articulated bodies. This enables integration of articulated body dynamics into deep learning frameworks, and gradient-based optimization of neural networks that operate on…

机器学习 · 计算机科学 2021-09-17 Yi-Ling Qiao , Junbang Liang , Vladlen Koltun , Ming C. Lin