Design of an End Effector Exchange Device for a Light Assembly Robot / Drew Landman Lehigh University
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Lewis, FL; Et. Al. “Robotics” Mechanical Engineering
Lewis, F.L.; et. al. “Robotics” Mechanical Engineering Handbook Ed. Frank Kreith Boca Raton: CRC Press LLC, 1999 c 1999byCRCPressLLC Robotics Frank L. Lewis 14.1Introduction....................................................................14-2 University of Texas at Arlington 14.2Commercial Robot Manipulators...................................14-3 Commercial Robot Manipulators • Commercial Robot John M. Fitzgerald Controllers University of Texas at Arlington 14.3Robot Configurations...................................................14-15 Ian D. Walker Fundamentals and Design Issues • Manipulator Kinematics • Summary Rice University 14.4End Effectors and Tooling...........................................14-24 Mark R. Cutkosky A Taxonomy of Common End Effectors • End Effector Design Stanford University Issues • Summary Kok-Meng Lee 14.5Sensors and Actuators..................................................14-33 Tactile and Proximity Sensors • Force Sensors • Vision • Georgia Tech Actuators Ron Bailey 14.6Robot Programming Languages..................................14-48 University of Texas at Arlington Robot Control • System Control • Structures and Logic • Special Functions • Program Execution • Example Program • Frank L. Lewis Off-Line Programming and Simulation University of Texas at Arlington 14.7Robot Dynamics and Control......................................14-51 Chen Zhou Robot Dynamics and Properties • State Variable Representations and Computer Simulation • Cartesian Georgia Tech Dynamics and Actuator Dynamics • Computed-Torque -
Real-Time Robot End-Effector Pose Estimation with Deep Network
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) October 25-29, 2020, Las Vegas, NV, USA (Virtual) Real-Time Robot End-Effector Pose Estimation with Deep Network Hu Cheng, Yingying Wang and Max Q.-H. Meng∗, Fellow, IEEE Abstract— In this paper, we propose a novel algorithm that estimates the pose of the robot end effector using depth vision. The input to our system is the segmented robot hand point cloud from a depth sensor. Then a neural network takes a point cloud as input and outputs the position and orientation of the robot end effector in the camera frame. The estimated pose can serve as the input of the controller of the robot to reach a specific pose in the camera frame. The training process of the neural network takes the simulated rendered point cloud generated from different poses of the robot hand mesh. At test time, one estimation of a single robot hand pose is reduced to 10ms on gpu and 14ms on cpu, which makes it suitable for close loop robot (a) (b) control system that requires to estimate hand pose in an online Fig. 1: (a) shows the repeatability of the robot arm, which is caused fashion. We design a robot hand pose estimation experiment to by mechanical imperfecions. (b) shows the misalignment between validate the effectiveness of our algorithm working in the real the pose of the end effector and the point cloud. situation. The platform we used includes a Kinova Jaco 2 robot arm and a Kinect v2 depth sensor. We describe all the processes that use vision to improve the accuracy of pose estimation of the robot end-effector. -
Modeling, Analysis, and Experiments on a Robot Arm with Force-Feedback Interaction Control
MODELING, ANALYSIS, AND EXPERIMENTS ON A ROBOT ARM WITH FORCE-FEEDBACK INTERACTION CONTROL by SURAG BALAJEPALLI Submitted in partial fulfillment of the requirements For the degree of Master of Science Electrical Engineering and Computer Science CASE WESTERN RESERVE UNIVERSITY May, 2020 Modeling, Analysis, And Experiments On A Robot Arm With Force-Feedback Interaction Control Case Western Reserve University Case School of Graduate Studies We hereby approve the thesis1 of SURAG BALAJEPALLI for the degree of Master of Science Dr. Wyatt Newman Committee Chair, Adviser 03/05/2020 Electrical Engineering and Computer Science Dr. Cenk Cavusoglu Committee Member 03/05/2020 Electrical Engineering and Computer Science Dr. Gregory Lee Committee Member 03/05/2020 Electrical Engineering and Computer Science 1We certify that written approval has been obtained for any proprietary material contained therein. Table of Contents List of Tables v List of Figures vi Abstract ix Chapter 1. Introduction1 Robot Force Control2 Compliant Motion6 Compliant motion behaviors8 Scope of this thesis9 Chapter 2. Stability of Interaction Controllers 12 Performance measure 14 Passivity 15 Robot modeling 21 Controller model 32 Passivity analysis 37 Simulation 39 Chapter 3. Passivity Analysis 40 Robot Model 40 Single link analysis 42 Two link model analysis 46 Coulomb friction analysis 63 iii Chapter 4. Experiments on compliant behaviors 75 The robot 75 Virtual attractor strategies 84 Chapter 5. Conclusions and future work 92 Future work 93 Appendix. Complete References 95 -
Design, Fabrication and Testing of 6 Dof Spot Welding Robotic Arm
ISSN: 2455-2631 © April 2018 IJSDR | Volume 3, Issue 4 DESIGN, FABRICATION AND TESTING OF 6 DOF SPOT WELDING ROBOTIC ARM 1Shantanu K. Mahale, 2Ankush A. Mathur, 3Prashant A. Nandalwar, 4Nitish N. Shukla, 5Mr. Vivek S. Narnaware 1,2,3,4Final Year B.E. Mechanical Engineering Students, 5Assistant Professor Department of Mechanical Engineering, AET’s St. John College of Engineering &.Management (SJCEM), Vevoor, Palghar (E), Affiliated to University of Mumbai, Maharashtra 401404. ABSTRACT: In majority of the manufacturing and assembling industries, human labor is largely employed to do repetitive task, which usually requires precision and accuracy. It is unavoidable that humans will make mistakes while performing a task. Moreover, productivity will be lower as human have limited working hours and work slower as compared to machines. To overcome this human inefficiency, industrial robots are designed and built to accommodate the increasing demands for better productivity, product quality and precision in performing task. They are the future of industries, which are going to replace humans. This paper is focused on the project which aims at making a six-degree of freedom robotic arm for spot welding purpose. Here in this report all the points regarding designing, mathematical modeling, simulation, development of real model and fabrication has been covered. All the designed parts in the report are made in Solid Works Software. Also the transformer specifications and the electrodes, which is used for Spot Welding, are been discussed in this report. Arduino Programming is used for operating the robot in this project. The possible results, which would be achieved after completion of this project, are also discussed. -
6D Interaction Control with Aerial Robots: the Flying End-Effector
6D interaction control with aerial robots: The flying end-effector paradigm Markus Ryll, Giuseppe Muscio, Francesco Pierri, Elisabetta Cataldi, Gianluca Antonelli, Fabrizio Caccavale, Davide Bicego, Antonio Franchi To cite this version: Markus Ryll, Giuseppe Muscio, Francesco Pierri, Elisabetta Cataldi, Gianluca Antonelli, et al.. 6D interaction control with aerial robots: The flying end-effector paradigm. The International Journal of Robotics Research, SAGE Publications, 2019, 38 (9), pp.1045-1062. 10.1177/0278364919856694. hal-02383394 HAL Id: hal-02383394 https://hal.laas.fr/hal-02383394 Submitted on 27 Nov 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Accepted for The International Journal of Robotics Research 2019 6D Interaction Control with Aerial Preprint version, final version at Robots: The Flying End-Effector https://journals.sagepub.com/loi/ijra Paradigm Markus Ryll1, Giuseppe Muscio2, Francesco Pierri2, Elisabetta Cataldi3, Gianluca Antonelli3, Fabrizio Caccavale2, Davide Bicego1 and Antonio Franchi1 Abstract This paper presents a novel paradigm for physical interactive tasks in aerial robotics allowing to increase reliability and decrease weight and costs compared to state of the art approaches. By exploiting its tilted propeller actuation, the robot is able to control the full 6D pose (position and orientation independently) and to exert a full-wrench (force and torque independently) with a rigidly attached end-effector. -
Design and Structural Analysis of a Robotic Arm
Master's Degree Thesis ISRN: BTH-AMT-EX--2016/D06--SE Design and Structural Analysis of a Robotic Arm Gurudu Rishank Reddy Venkata Krishna Prashanth Eranki Department of Mechanical Engineering Blekinge Institute of Technology Karlskrona, Sweden 2016 Supervisors: R.V Jhansi Rao, Signode India Limited (SIG) Sharon Kao-Walter, BTH Design and Structural Analysis of a Robotic Arm Gurudu Rishank Reddy Venkata Krishna Prashanth Eranki Department of Mechanical Engineering Blekinge Institute of Technology Karlskrona, Sweden 2016 Thesis submitted for completion of Master of Science in Mechanical Engineering with emphasis on Structural Mechanics at the Department of Mechanical Engineering, Blekinge Institute of Technology, Karlskrona, Sweden. Abstract: Automation is creating revolution in the present industrial sector, as it reduces manpower and time of production. Our project mainly deals around the shearing operation, were the sheet is picked manually and placed on the belt for shearing which involves risk factor. Our challenge is designing of pick and place operator to carry the sheet from the stack and place it in the shearing machine for the feeding. We have gone through different research papers, articles and had observed the advanced technologies used in other industries for the similar operation. After related study we have achieved the design of a 3-jointed robotic arm were the base is fixed and the remaining joints move in vertical and horizontal directions. The end effector is also designed such that to lift the sheet we use suction cups were the sheet is uplifted with a certain pressure. Here we used Creo-Parametric for design and Autodesk-Inventor 2017 to simulate the designed model. -
Industrial Roboticsrobotics Robotrobot Anatomyanatomy Andand Relatedrelated Attributesattributes
UNITUNIT VV INDUSTRIALINDUSTRIAL ROBOTICSROBOTICS ROBOTROBOT ANATOMYANATOMY ANDAND RELATEDRELATED ATTRIBUTESATTRIBUTES •• The anatomy of industrial robots deals with the assembling of outer components of a robot such as wrist, arm and body. •• Before jumping into robot configurations, here are some of the key facts about robot anatomy. (a) Joints and Links (b) Common Robot Configurations 2 JOINTSJOINTS ANDAND LINKSLINKS •• The manipulator of an industrial robot consists of a series of joints and links. •• Robot anatomy deals with the study of different joints and links and other aspects of the manipulator's physical construction. •• A robotic joint provides relative motion between two links of the robot. •• Each joint, or axis, provides a certain degree-of-freedom (dof) of motion. •• In most of the cases, only one degree-of-freedom is associated with each joint. •• Robot's complexity can be classified according to the total number of degrees -of-freedom they possess. •• Each joint is connected to two links, an input link and an output link. 3 JOINTSJOINTS ANDAND LINKSLINKS •• A Joint provides controlled relative movement between the input link and output link. A robotic link is the rigid component of the robot manipulator. •• Most of the robots are mounted upon a stationary base, such as the floor. From this base, a joint-link numbering scheme may be recognized as shown in Figure. 4 JOINTSJOINTS ANDAND LINKSLINKS •• The robotic base and its connection to the first joint are termed as link-0. •• The first joint in the sequence is joint-1. •• Link-0 is the input link for joint-1, while the output link from joint-1 is link-1 which leads to joint-2.