High-fidelity, faster than real-time dynamics simulation

Author(s):  
Alexander J. Flueck
2019 ◽  
Vol 38 (6) ◽  
pp. 723-746 ◽  
Author(s):  
John Till ◽  
Vincent Aloi ◽  
Caleb Rucker

The dynamic equations of many continuum and soft robot designs can be succinctly formulated as a set of partial differential equations (PDEs) based on classical Cosserat rod theory, which includes bending, torsion, shear, and extension. In this work we present a numerical approach for forward dynamics simulation of Cosserat-based robot models in real time. The approach implicitly discretizes the time derivatives in the PDEs and then solves the resulting ordinary differential equation (ODE) boundary value problem (BVP) in arc length at each timestep. We show that this strategy can encompass a wide variety of robot models and numerical schemes in both time and space, with minimal symbolic manipulation required. Computational efficiency is gained owing to the stability of implicit methods at large timesteps, and implementation is relatively simple, which we demonstrate by providing a short MATLAB-coded example. We investigate and quantify the tradeoffs associated with several numerical subroutines, and we validate accuracy compared with dynamic rod data gathered with a high-speed camera system. To demonstrate the method’s application to continuum and soft robots, we derive several Cosserat-based dynamic models for robots using various actuation schemes (extensible rods, tendons, and fluidic chambers) and apply our approach to achieve real-time simulation in each case, with additional experimental validation on a tendon robot. Results show that these models capture several important phenomena, such as stability transitions and the effect of a compressible working fluid.


Author(s):  
J. L. Chang ◽  
S. S. Kim

Abstract This paper presents a general approach for achieving real-time man-in-the-loop simulation for multibody dynamic systems. Emerging real-time dynamics simulation technologies are exploited to develop a low-cost network based simulator as an interactive design workstation with a human operator in the control loop. An efficient recursive dynamic formulation is used to create multibody dynamics models. A parallel processing algorithm is developed based on the recursive dynamics formulation and implemented on a multiprocessor computer to achieve real-time simulation. As a real-time integration algorithm, third-order Adams-Bashforth method is used. The integration stepsize is estimated from the eigenvalue analysis of the equations of motion. High speed computer graphics techniques provide realistic visual display for the simulator. A backhoe simulation is implemented as an example to demonstrate the feasibility of man-in-the-loop simulation on the low-cost simulator.


2021 ◽  
Vol 157 ◽  
pp. 107720
Author(s):  
Christina Insam ◽  
Arian Kist ◽  
Henri Schwalm ◽  
Daniel J. Rixen
Keyword(s):  

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 943 ◽  
Author(s):  
Il Bae ◽  
Jaeyoung Moon ◽  
Jeongseok Seo

The convergence of mechanical, electrical, and advanced ICT technologies, driven by artificial intelligence and 5G vehicle-to-everything (5G-V2X) connectivity, will help to develop high-performance autonomous driving vehicles and services that are usable and convenient for self-driving passengers. Despite widespread research on self-driving, user acceptance remains an essential part of successful market penetration; this forms the motivation behind studies on human factors associated with autonomous shuttle services. We address this by providing a comfortable driving experience while not compromising safety. We focus on the accelerations and jerks of vehicles to reduce the risk of motion sickness and to improve the driving experience for passengers. Furthermore, this study proposes a time-optimal velocity planning method for guaranteeing comfort criteria when an explicit reference path is given. The overall controller and planning method were verified using real-time, software-in-the-loop (SIL) environments for a real-time vehicle dynamics simulation; the performance was then compared with a typical planning approach. The proposed optimized planning shows a relatively better performance and enables a comfortable passenger experience in a self-driving shuttle bus according to the recommended criteria.


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