Design, Analysis and Passive Balance Control of a 7-DOF Biped Robot
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Kinematic Modeling of a Rhex-Type Robot Using a Neural Network
Kinematic Modeling of a RHex-type Robot Using a Neural Network Mario Harpera, James Paceb, Nikhil Guptab, Camilo Ordonezb, and Emmanuel G. Collins, Jr.b aDepartment of Scientific Computing, Florida State University, Tallahassee, FL, USA bDepartment of Mechanical Engineering, Florida A&M - Florida State University, College of Engineering, Tallahassee, FL, USA ABSTRACT Motion planning for legged machines such as RHex-type robots is far less developed than motion planning for wheeled vehicles. One of the main reasons for this is the lack of kinematic and dynamic models for such platforms. Physics based models are difficult to develop for legged robots due to the difficulty of modeling the robot-terrain interaction and their overall complexity. This paper presents a data driven approach in developing a kinematic model for the X-RHex Lite (XRL) platform. The methodology utilizes a feed-forward neural network to relate gait parameters to vehicle velocities. Keywords: Legged Robots, Kinematic Modeling, Neural Network 1. INTRODUCTION The motion of a legged vehicle is governed by the gait it uses to move. Stable gaits can provide significantly different speeds and types of motion. The goal of this paper is to use a neural network to relate the parameters that define the gait an X-RHex Lite (XRL) robot uses to move to angular, forward and lateral velocities. This is a critical step in developing a motion planner for a legged robot. The approach taken in this paper is very similar to approaches taken to learn forward predictive models for skid-steered robots. For example, this approach was used to learn a forward predictive model for the Crusher UGV (Unmanned Ground Vehicle).1 RHex-type robot may be viewed as a special case of skid-steered vehicle as their rotating C-legs are always pointed in the same direction. -
Mobile Robot Kinematics
Mobile Robot Kinematics We're going to start talking about our mobile robots now. There robots differ from our arms in 2 ways: They have sensors, and they can move themselves around. Because their movement is so different from the arms, we will need to talk about a new style of kinematics: Differential Drive. 1. Differential Drive is how many mobile wheeled robots locomote. 2. Differential Drive robot typically have two powered wheels, one on each side of the robot. Sometimes there are other passive wheels that keep the robot from tipping over. 3. When both wheels turn at the same speed in the same direction, the robot moves straight in that direction. 4. When one wheel turns faster than the other, the robot turns in an arc toward the slower wheel. 5. When the wheels turn in opposite directions, the robot turns in place. 6. We can formally describe the robot behavior as follows: (a) If the robot is moving in a curve, there is a center of that curve at that moment, known as the Instantaneous Center of Curvature (or ICC). We talk about the instantaneous center, because we'll analyze this at each instant- the curve may, and probably will, change in the next moment. (b) If r is the radius of the curve (measured to the middle of the robot) and l is the distance between the wheels, then the rate of rotation (!) around the ICC is related to the velocity of the wheels by: l !(r + ) = v 2 r l !(r − ) = v 2 l Why? The angular velocity is defined as the positional velocity divided by the radius: dθ V = dt r 1 This should make some intuitive sense: the farther you are from the center of rotation, the faster you need to move to get the same angular velocity. -
Abbreviations and Glossary
Appendix A Abbreviations and Glossary Abbreviations are defined and the mathematical symbols and notations used in this book are specified. Furthermore, the random number generator used in this book is referenced. A.1 Abbreviations arccos arccosine BiRRT Bidirectional rapidly growing random tree C-space Configuration space DH Denavit-Hartenberg DLR German aerospace center DOF Degree of freedom FFT Fast fourier transformation IK Inverse kinematics HRI Human-Robot interface LWR Light weight robot MMI Institute of Man-Machine interaction PCA Principal component analysis PRM Probabilistic road map RRT Rapidly growing random tree rulaCapMap Rula-restricted capability map RULA Rapid upper limb assessment SFE Shape fit error TCP Tool center point OV workspace overlap 130 A Abbreviations and Glossary A.2 Mathematical Symbols C configuration space K(q) direct kinematics H set of all homogeneous matrices WR reachable workspace WD dexterous workspace WV versatile workspace F(R,x) function that maps to a homogeneous matrix VRobot voxel space for the robot arm VHuman voxel space for the human arm P set of points on the sphere Np set of point indices for the points on the sphere No set of orientation indices OS set of all homogeneous frames distributed on a sphere MS capability map A.3 Mathematical Notations a scalar value a vector aT vector transposed A matrix AT matrix transposed < a,b > inner product 3 SO(3) group of rotation matrices ∈ IR SO(3) := R ∈ IR 3×3| RRT = I,detR =+1 SE(3) IR 3 × SO(3) A TB reference frame B given in coordinates of reference frame A a ceiling function a floor function A.4 Random Sampling In this book, the drawing of random samples is often used. -
Towards Pronking with a Hexapod Robot
Towards pronking with a hexapod robot Dave McMordie Department of Electrical Engineering McGill University, Montreal, Canada July, 2002 A thesis submitted to the Faculty of Graduate 5tudies and Research in partial fulfillment of the requirements of the degree Master of Engineering © Dave McMordie, 2002 National Library Bibliothèque nationale 1+1 of Canada du Canada Acquisitions and Acquisisitons et Bibliographie Services services bibliographiques 395 Wellington Street 395, rue Wellington Ottawa ON K1A DN4 Ottawa ON K1A DN4 Canada Canada Your file Votre référence ISBN: 0-612-85890-1 Our file Notre référence ISBN: 0-612-85890-1 The author has granted a non L'auteur a accordé une licence non exclusive licence allowing the exclusive permettant à la National Library of Canada to Bibliothèque nationale du Canada de reproduce, loan, distribute or sell reproduire, prêter, distribuer ou copies of this thesis in microform, vendre des copies de cette thèse sous paper or electronic formats. la forme de microfiche/film, de reproduction sur papier ou sur format électronique. The author retains ownership of the L'auteur conserve la propriété du copyright in this thesis. Neither the droit d'auteur qui protège cette thèse. thesis nor substantial extracts from it Ni la thèse ni des extraits substantiels may be printed or otherwise de celle-ci ne doivent être imprimés reproduced without the author's ou aturement reproduits sans son permission. autorisation. Canada Abstract RHex is a robotic hexapod with springy legs and just six actuated degrees of freedom. This work presents the development of a pronking gait for RHex, extending its efficiency and speed by exploiting its springy legs for hopping. -
Design and Control of a Large Modular Robot Hexapod
Design and Control of a Large Modular Robot Hexapod Matt Martone CMU-RI-TR-19-79 November 22, 2019 The Robotics Institute School of Computer Science Carnegie Mellon University Pittsburgh, PA Thesis Committee: Howie Choset, chair Matt Travers Aaron Johnson Julian Whitman Submitted in partial fulfillment of the requirements for the degree of Master of Science in Robotics. Copyright © 2019 Matt Martone. All rights reserved. To all my mentors: past and future iv Abstract Legged robotic systems have made great strides in recent years, but unlike wheeled robots, limbed locomotion does not scale well. Long legs demand huge torques, driving up actuator size and onboard battery mass. This relationship results in massive structures that lack the safety, portabil- ity, and controllability of their smaller limbed counterparts. Innovative transmission design paired with unconventional controller paradigms are the keys to breaking this trend. The Titan 6 project endeavors to build a set of self-sufficient modular joints unified by a novel control architecture to create a spiderlike robot with two-meter legs that is robust, field- repairable, and an order of magnitude lighter than similarly sized systems. This thesis explores how we transformed desired behaviors into a set of workable design constraints, discusses our prototypes in the context of the project and the field, describes how our controller leverages compliance to improve stability, and delves into the electromechanical designs for these modular actuators that enable Titan 6 to be both light and strong. v vi Acknowledgments This work was made possible by a huge group of people who taught and supported me throughout my graduate studies and my time at Carnegie Mellon as a whole. -
Dynamically Diverse Legged Locomotion for Rough Terrain
Dynamically diverse legged locomotion for rough terrain The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Byl, Katie, and Russ Tedrake. “Dynamically Diverse Legged Locomotion for Rough Terrain.” Proceedings of the 2009 IEEE International Conference on Robotics and Automation, Kobe International Conference Center, Kobe, Japan, May 12-17, 2009 1607-1608. © Copyright 2009 IEEE. As Published http://dx.doi.org/10.1109/ROBOT.2009.5152757 Publisher Institute of Electrical and Electronics Engineers Version Final published version Citable link http://hdl.handle.net/1721.1/64752 Terms of Use Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. 2009 IEEE International Conference on Robotics and Automation Kobe International Conference Center Kobe, Japan, May 12-17, 2009 Dynamically Diverse Legged Locomotion for Rough Terrain Katie Byl and Russ Tedrake Abstract— In this video, we demonstrate the effectiveness of which aim toward precise foot placement often traverse a kinodynamic planning strategy that allows a high-impedance terrain by using relatively slow, deliberate gaits [3], [4], [10], quadruped to operate across a variety of rough terrain. At one [8], [6]. In this video we demonstrate a control approach extreme, the robot can achieve precise foothold selection on intermittent terrain. More surprisingly, the same inherently- which can achieve both precise foot placement, as illustrated stiff robot can also execute highly dynamic and underactuated in Figure 1, and highly dynamic and fast motions, such as motions with high repeatability. -
Design of a Multi-Directional Variable Stiffness Leg for Dynamic Running
University of Pennsylvania ScholarlyCommons Departmental Papers (ESE) Department of Electrical & Systems Engineering 2007 DESIGN OF A MULTI-DIRECTIONAL VARIABLE STIFFNESS LEG FOR DYNAMIC RUNNING Kevin C. Galloway University of Pennsylvania, [email protected] Jonathan E. Clark Florida State University, [email protected] Daniel E. Koditschek University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/ese_papers Part of the Engineering Commons Recommended Citation Kevin C. Galloway, Jonathan E. Clark, and Daniel E. Koditschek, "DESIGN OF A MULTI-DIRECTIONAL VARIABLE STIFFNESS LEG FOR DYNAMIC RUNNING", . January 2007. @inproceedings{ Galloway.07, Author = {Galloway, K.C. and Clark, J.E. and Koditschek, D.E.}, Title = {Design of a Multi-Directional Variable Stiffness Leg for Dynamic Runnings}, BookTitle = {ASME Int. Mech. Eng. Congress and Exposition}, Year = {2007}} This paper is posted at ScholarlyCommons. https://repository.upenn.edu/ese_papers/508 For more information, please contact [email protected]. DESIGN OF A MULTI-DIRECTIONAL VARIABLE STIFFNESS LEG FOR DYNAMIC RUNNING Abstract Recent developments in dynamic legged locomotion have focused on encoding a substantial component of leg intelligence into passive compliant mechanisms. One of the limitations of this approach is reduced adaptability: the final leg mechanism usually performs optimally for a small range of conditions (i.e. a certain robot weight, terrain, speed, gait, and so forth). For many situations in which a small locomotion system experiences a change in any of these conditions, it is desirable to have a variable stiffness leg to tune the natural frequency of the system for effective gait control. In this paper, we present an overview of variable stiffness leg spring designs, and introduce a new approach specifically for autonomous dynamic legged locomotion. -
Nyku: a Social Robot for Children with Autism Spectrum Disorders
University of Denver Digital Commons @ DU Electronic Theses and Dissertations Graduate Studies 2020 Nyku: A Social Robot for Children With Autism Spectrum Disorders Dan Stephan Stoianovici University of Denver Follow this and additional works at: https://digitalcommons.du.edu/etd Part of the Disability Studies Commons, Electrical and Computer Engineering Commons, and the Robotics Commons Recommended Citation Stoianovici, Dan Stephan, "Nyku: A Social Robot for Children With Autism Spectrum Disorders" (2020). Electronic Theses and Dissertations. 1843. https://digitalcommons.du.edu/etd/1843 This Thesis is brought to you for free and open access by the Graduate Studies at Digital Commons @ DU. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of Digital Commons @ DU. For more information, please contact [email protected],[email protected]. Nyku : A Social Robot for Children with Autism Spectrum Disorders A Thesis Presented to the Faculty of the Daniel Felix Ritchie School of Engineering and Computer Science University of Denver In Partial Fulfillment of the Requirements for the Degree Master of Science by Dan Stoianovici August 2020 Advisor: Dr. Mohammad H. Mahoor c Copyright by Dan Stoianovici 2020 All Rights Reserved Author: Dan Stoianovici Title: Nyku: A Social Robot for Children with Autism Spectrum Disorders Advisor: Dr. Mohammad H. Mahoor Degree Date: August 2020 Abstract The continued growth of Autism Spectrum Disorders (ASD) around the world has spurred a growth in new therapeutic methods to increase the positive outcomes of an ASD diagnosis. It has been agreed that the early detection and intervention of ASD disorders leads to greatly increased positive outcomes for individuals living with the disorders. -
A Review of Parallel Processing Approaches to Robot Kinematics and Jacobian
Technical Report 10/97, University of Karlsruhe, Computer Science Department, ISSN 1432-7864 A Review of Parallel Processing Approaches to Robot Kinematics and Jacobian Dominik HENRICH, Joachim KARL und Heinz WÖRN Institute for Real-Time Computer Systems and Robotics University of Karlsruhe, D-76128 Karlsruhe, Germany e-mail: [email protected] Abstract Due to continuously increasing demands in the area of advanced robot control, it became necessary to speed up the computation. One way to reduce the computation time is to distribute the computation onto several processing units. In this survey we present different approaches to parallel computation of robot kinematics and Jacobian. Thereby, we discuss both the forward and the reverse problem. We introduce a classification scheme and classify the references by this scheme. Keywords: parallel processing, Jacobian, robot kinematics, robot control. 1 Introduction Due to continuously increasing demands in the area of advanced robot control, it became necessary to speed up the computation. Since it should be possible to control the motion of a robot manipulator in real-time, it is necessary to reduce the computation time to less than the cycle rate of the control loop. One way to reduce the computation time is to distribute the computation over several processing units. There are other overviews and reviews on parallel processing approaches to robotic problems. Earlier overviews include [Lee89] and [Graham89]. Lee takes a closer look at parallel approaches in [Lee91]. He tries to find common features in the different problems of kinematics, dynamics and Jacobian computation. The latest summary is from Zomaya et al. [Zomaya96]. -
Acknowledgements Acknowl
2161 Acknowledgements Acknowl. B.21 Actuators for Soft Robotics F.58 Robotics in Hazardous Applications by Alin Albu-Schäffer, Antonio Bicchi by James Trevelyan, William Hamel, The authors of this chapter have used liberally of Sung-Chul Kang work done by a group of collaborators involved James Trevelyan acknowledges Surya Singh for de- in the EU projects PHRIENDS, VIACTORS, and tailed suggestions on the original draft, and would also SAPHARI. We want to particularly thank Etienne Bur- like to thank the many unnamed mine clearance experts det, Federico Carpi, Manuel Catalano, Manolo Gara- who have provided guidance and comments over many bini, Giorgio Grioli, Sami Haddadin, Dominic Lacatos, years, as well as Prof. S. Hirose, Scanjack, Way In- Can zparpucu, Florian Petit, Joshua Schultz, Nikos dustry, Japan Atomic Energy Agency, and Total Marine Tsagarakis, Bram Vanderborght, and Sebastian Wolf for Systems for providing photographs. their substantial contributions to this chapter and the William R. Hamel would like to acknowledge work behind it. the US Department of Energy’s Robotics Crosscut- ting Program and all of his colleagues at the na- C.29 Inertial Sensing, GPS and Odometry tional laboratories and universities for many years by Gregory Dudek, Michael Jenkin of dealing with remote hazardous operations, and all We would like to thank Sarah Jenkin for her help with of his collaborators at the Field Robotics Center at the figures. Carnegie Mellon University, particularly James Os- born, who were pivotal in developing ideas for future D.36 Motion for Manipulation Tasks telerobots. by James Kuffner, Jing Xiao Sungchul Kang acknowledges Changhyun Cho, We acknowledge the contribution that the authors of the Woosub Lee, Dongsuk Ryu at KIST (Korean Institute first edition made to this chapter revision, particularly for Science and Technology), Korea for their provid- Sect. -
Forward and Inverse Kinematics Analysis of Denso Robot
Proceedings of the International Symposium of Mechanism and Machine Science, 2017 AzC IFToMM – Azerbaijan Technical University 11-14 September 2017, Baku, Azerbaijan Forward and Inverse Kinematics Analysis of Denso Robot Mehmet Erkan KÜTÜK 1*, Memik Taylan DAŞ2, Lale Canan DÜLGER1 1*Mechanical Engineering Department, University of Gaziantep Gaziantep/ Turkey E-mail: [email protected] 2 Mechanical Engineering Department, University of Kırıkkale Abstract used Robotic Toolbox in forward kinematics analysis of A forward and inverse kinematic analysis of 6 axis an industrial robot [4]. DENSO robot with closed form solution is performed in This study includes kinematics of robot arm which is this paper. Robotics toolbox provides a great simplicity to available Gaziantep University, Mechanical Engineering us dealing with kinematics of robots with the ready Department, Mechatronics Lab. Forward and Inverse functions on it. However, making calculations in kinematics analysis are performed. Robotics Toolbox is traditional way is important to dominate the kinematics also applied to model Denso robot system. A GUI is built which is one of the main topics of robotics. Robotic for practical use of robotic system. toolbox in Matlab® is used to model Denso robot system. GUI studies including Robotic Toolbox are given with 2. Robot Arm Kinematics simulation examples. Keywords: Robot Kinematics, Simulation, Denso The robot kinematics can be categorized into two Robot, Robotic Toolbox, GUI main parts; forward and inverse kinematics. Forward kinematics problem is not difficult to perform and there is no complexity in deriving the equations in contrast to the 1. Introduction inverse kinematics. Especially nonlinear equations make the inverse kinematics problem complex. -
Vision-Based Autonomous Underwater Vehicle Navigation in Poor Visibility Conditions Using a Model-Free Robust Control
Hindawi Publishing Corporation Journal of Sensors Volume 2016, Article ID 8594096, 16 pages http://dx.doi.org/10.1155/2016/8594096 Research Article Vision-Based Autonomous Underwater Vehicle Navigation in Poor Visibility Conditions Using a Model-Free Robust Control Ricardo Pérez-Alcocer,1 L. Abril Torres-Méndez,2 Ernesto Olguín-Díaz,2 and A. Alejandro Maldonado-Ramírez2 1 CONACYT-Instituto Politecnico´ Nacional-CITEDI, 22435 Tijuana, BC, Mexico 2Robotics and Advanced Manufacturing Group, CINVESTAV Campus Saltillo, 25900 Ramos Arizpe, COAH, Mexico Correspondence should be addressed to L. Abril Torres-Mendez;´ [email protected] Received 25 March 2016; Revised 5 June 2016; Accepted 6 June 2016 Academic Editor: Pablo Gil Copyright © 2016 Ricardo Perez-Alcocer´ et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This paper presents a vision-based navigation system for an autonomous underwater vehicle in semistructured environments with poor visibility. In terrestrial and aerial applications, the use of visual systems mounted in robotic platforms as a control sensor feedback is commonplace. However, robotic vision-based tasks for underwater applications are still not widely considered as the images captured in this type of environments tend to be blurred and/or color depleted. To tackle this problem, we have adapted the color space to identify features of interest in underwater images even in extreme visibility conditions. To guarantee the stability of the vehicle at all times, a model-free robust control is used. We have validated the performance of our visual navigation system in real environments showing the feasibility of our approach.