50 research outputs found
Experimental Validation of a Feed-Forward Predictor for the Spring-Loaded Inverted Pendulum Template
Cataloged from PDF version of article.Widely accepted utility of simple spring-mass models for running behaviors as descriptive tools, as well as literal control targets, motivates accurate analytical approximations to their dynamics. Despite the availability of a number of such analytical predictors in the literature, their validation has mostly been done in simulation, and it is yet unclear how well they perform when applied to physical platforms. In this paper, we extend on one of the most recent approximations in the literature to ensure its accuracy and applicability to a physical monopedal platform. To this end, we present systematic experiments on a well-instrumented planar monopod robot, first to perform careful identification of system parameters and subsequently to assess predictor performance. Our results show that the approximate solutions to the spring-loaded inverted pendulum dynamics are capable of predicting physical robot position and velocity trajectories with average prediction errors of 2% and 7%, respectively. This predictive performance together with the simple analytic nature of the approximations shows their suitability as a basis for both state estimators and locomotion controllers. © 2004-2012 IEEE
Doğrusal mantık uslamlamasının sürekli kısıtlar varlığında kullanımı ile dinamik robotlarda otonom davranış progralaması
TÜBİTAK EEEAG Proje01.03.201
Adaptive control of a one-legged hopping robot through dynamically embedded spring-loaded inverted pendulum template
Ankara : The Department of Electrical and Electronics Engineering and the Graduate School of Engineering and Science of Bilkent University, 2011.Thesis (Master's) -- Bilkent University, 2011.Includes bibliographical references leaves 92-96.Practical realization of model-based dynamic legged behaviors is substantially
more challenging than statically stable behaviors due to their heavy dependence
on second-order system dynamics. This problem is further aggravated by the dif-
ficulty of accurately measuring or estimating dynamic parameters such as spring
and damping constants for associated models and the fact that such parameters
are prone to change in time due to heavy use and associated material fatigue.
In the first part of this thesis, we present an on-line, model-based adaptive control
method for running with a planar spring-mass hopper based on a once-per-step
parameter correction scheme. Our method can be used both as a system identifi-
cation tool to determine possibly time-varying spring and damping constants of a
miscalibrated system, or as an adaptive controller that can eliminate steady-state
tracking errors through appropriate adjustments on dynamic system parameters.
We use Spring-Loaded Inverted Pendulum (SLIP) model, which is the mostly
used, effective and accurate descriptive tool for running animals of different sizes
and morphologies, to evaluate our algorithm. We present systematic simulation
studies to show that our method can successfully accomplish both accurate tracking
and system identification tasks on this model. Additionally, we extend our
simulations to Torque-Actuated Dissipative Spring-Loaded Inverted Pendulum
(TD-SLIP) model towards its implementation on an actual robot platform.
In the second part of the thesis, we present the design and construction of a onelegged
hopping robot we built to test the practical applicability of our adaptive
control algorithm. We summarize the mechanical, electronics and software design
of our robot as well as the performed system identification studies to calibrate the
unknown system parameters. Finally, we investigate the robot’s motion achieved
by a simple torque-actuated open loop controller.Uyanık, İsmailM.S
An Overview of Legged Robots
The objective of this paper is to present the evolution and the state-of-theart in the area of legged locomotion systems. In a first phase different possibilities for mobile robots are discussed, namely the case of artificial legged locomotion systems, while emphasizing their advantages and limitations. In a second phase an historical overview of the evolution of these systems is presented, bearing in mind several particular cases often considered as milestones on the technological and scientific progress. After this historical timeline, some of the present day systems are examined and their performance is analyzed. In a third phase are pointed out the major areas for research and development that are presently being followed in the construction of legged robots. Finally, some of the problems still unsolved, that remain defying robotics research, are also addressed.N/
Dynamic Walking: Toward Agile and Efficient Bipedal Robots
Dynamic walking on bipedal robots has evolved from an idea in science fiction to a practical reality. This is due to continued progress in three key areas: a mathematical understanding of locomotion, the computational ability to encode this mathematics through optimization, and the hardware capable of realizing this understanding in practice. In this context, this review article outlines the end-to-end process of methods which have proven effective in the literature for achieving dynamic walking on bipedal robots. We begin by introducing mathematical models of locomotion, from reduced order models that capture essential walking behaviors to hybrid dynamical systems that encode the full order continuous dynamics along with discrete footstrike dynamics. These models form the basis for gait generation via (nonlinear) optimization problems. Finally, models and their generated gaits merge in the context of real-time control, wherein walking behaviors are translated to hardware. The concepts presented are illustrated throughout in simulation, and experimental instantiation on multiple walking platforms are highlighted to demonstrate the ability to realize dynamic walking on bipedal robots that is agile and efficient