scholarly journals Development of a Robotic Arm for Automated Harvesting of Asparagus

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Yuki Funami ◽  
Shinji Kawakura ◽  
Kotaro Tadano
Keyword(s):  
Input Data ◽  
Degrees Of Freedom ◽  
Robotic Arm ◽  
Pneumatic Cylinder ◽  
Agricultural Crops ◽  
Robot Arm ◽  
Linkage Mechanism ◽  
Robot System ◽  
Wheeled Robot ◽  
Agricultural Setting

We designed and developed an original arm-robot system that harvests asparagus in both outdoor and indoor agricultural fields. Using the system, we carried out harvesting work automatically with input data related to asparagus vegetation in restricted settings. The developed fixed-site (non-wheeled) robot can reach out its arm to a stem of asparagus from a passage between two ridges on cultivated farmland without touching non-target stems or requiring changes to the farm conditions. Additionally, the hand at the tip of the arm stably grasps, cuts, harvests, and throws the stem it into a specific bag made for the gathering of agricultural crops. In mechanical terms, our originally developed robot arm has four degrees of freedom and is driven by motors. It harvests target asparagus stems without coming into contact with other objects in an agricultural setting, and the hand using the linkage mechanism of a pneumatic cylinder driven by air pressure, can hold the stem firmly and cut it. Our repetitive verification experiments showed that the mechanism is sufficiently accurate. The present study confirmed the robot arm system could be used for automatically harvesting asparagus, and the system was endorsed by several farmers. Moreover, we carried out experiments of harvesting asparagus on actual outdoor land and successfully harvested three stems sequentially under the condition that the operator obtained the positional coordinates earlier.

A remote center of motion robotic arm for computer assisted surgery

Robotica ◽  
1996 ◽  
Vol 14 (1) ◽  
pp. 103-109 ◽  
Author(s):  
B. Eldridge ◽  
K. Gruben ◽  
D. LaRose ◽  
J. Funda ◽  
S. Gomory ◽  
...  
Keyword(s):  
Degrees Of Freedom ◽  
Computer Assisted Surgery ◽  
Video Camera ◽  
Robotic Arm ◽  
Computer Assisted ◽  
Robot Arm ◽  
Minimally Invasive Surgical ◽  
Tissue Manipulation ◽  
Servo Controller ◽  
Rotation Stage

SummaryWe have designed a robotic arm based on a double parallel four bar linkage to act as an assistant in minimally invasive surgical procedures. The remote center of motion (RCM) geometry of the robot arm kinematically constraints the robot motion such that minimal translation of an instrument held by the robot takes place at the entry portal into the patientApos;s body. In addition to the two rotational degrees of freedom comprising the RCM arm, distal translation and rotation are provided to manoeuver the instrument within the patient's body about an axis coincident with the RCM. An XYZ translation stage located proximal to the RCM arm provides positioning capability to establish the RCM location relative to the patients anatomy. An electronics set capable of controlling the system, as well as performing a series of safety checks to verify correct system operation, has also been designed and constructed. The robot is capable of precise positional motion. Repeatability in the ±10 micron range is demonstrated. The complete robotic system consists of the robot hardware and an IBM PC-AT based servo controller connected via a custom shared memory link to a host IBM PS/2. For laparoscopic applications, the PS/2 includes an image capture board to capture and process video camera images. A camera rotation stage has also been designed for this application. We have successfully demonstrated this system as an assistant in a laparoscopic cholecystectomy. Further applications for this system involving active tissue manipulation are under development.

Time-Optimal Control of Two Robots Holding the Same Workpiece

1993 ◽  
Vol 115 (3) ◽  
pp. 441-446 ◽  
Author(s):  
J. E. Bobrow ◽  
J. M. McCarthy ◽  
V. K. Chu
Keyword(s):  
Optimal Control ◽  
Contact Force ◽  
Degrees Of Freedom ◽  
Unique Feature ◽  
Robot Arm ◽  
Robot System ◽  
Motion Constraints ◽  
Time Optimal ◽  
Internal Forces ◽  
Constrained Robot

An algorithm is given which minimizes the time for two robots holding the same workpiece to move along a given path. The unique feature of these systems is that they have more actuators than degrees of freedom. The method can be applied to any constrained robot system, including the case where one robot arm moves in contact with a surface. In addition to finding the optimum torque histories, the algorithm determines the optimum contact force between the each robot and the workpiece throughout the motion. Constraints on these internal forces are easily introduced into the algorithm.

Derivation of Forward and Inverse Kinematics of 8 - Degrees of Freedom Based Bio-Inspired Humanoid Robotic Arm

2014 ◽  
Vol 984-985 ◽  
pp. 1245-1252 ◽  
Author(s):  
Jayabalan Sudharsan ◽  
L. Karunamoorthy
Keyword(s):  
Elbow Joint ◽  
Degrees Of Freedom ◽  
Humanoid Robot ◽  
Learning Algorithm ◽  
Inverse Kinematic ◽  
Robotic Arm ◽  
Human Being ◽  
Robot Arm ◽  
End Effector ◽  
Almost All

Designing a humanoid robot is a complex issue and the exact resemblance of human arm movements has not been achieved in many of the previously developed robots. This paper is going to be much focused on the design of a humanoid robot arm which has a unique approach which has never been developed earlier. Even though all the robots that have been developed using 6-Degrees of Freedom (DOF) and 7-DOF can reach any point in the space, some of the orientation cannot be reached by the end effector plane effectively. So an 8-DOF freedom based robotic arm has been specially designed and developed to resemble the exact movements of the human being. This robot has 3-DOF for shoulder joint, 2-DOF for the elbow joint, and 3-DOF for the wrist with fingers as the end effector. Almost all the robots have only 1-DOF to the elbow joint but here 2-DOF has been proposed to resemble the exact movements of the human being (2-DOF at elbow) to solve the above mentioned problem. Literature reviews and design model are discussed in detail to support the proposal that has been made. Forward and inverse Kinematic relationships are also obtained for the joint link parameter. This humanoid robot arm which has been designed and developed is one of the modules of a human size humanoid robot RALA (Robot based on Autonomous Learning Algorithm).

scholarly journals Implementasi Persamaan Kinematik Maju Pada Robot Manipulator

2014 ◽  
Vol 6 (1) ◽  
pp. 66-75
Author(s):  
Herizon Herizon ◽  
Ade Diana
Keyword(s):  
Degrees Of Freedom ◽  
Robot Manipulator ◽  
Angular Position ◽  
Robotic Arm ◽  
Equation Modeling ◽  
Forward Kinematics ◽  
Robot Arm ◽  
Kinematics Modeling ◽  
Trigonometric Equations ◽  
Manipulator Control

Robot is one technology that is being developed at this time. Robot manipulators are widely used in industry, especially robotic arm that has a certain degree of freedom. The problems that occurred in the robot arm is the accuracy in determining the position of the object to be moved. This study aims to apply the method forward kinematics equation modeling on the movement of the robot manipulator in particular robot arm 3 degrees of freedom (DOF) equipped with a gripper which serves to clamp and move the object. The method used in this study is an experimental method in phases: the design of hardware and software, interconnect hardware and software in the system of movement of the robot. Joints actuator using servo motors. Manipulator control system is used to adjust the angular position of each joint with CodeVisionAVR programming language that is sent in parallel to the motor driver so as to produce pulses to move the bike. Forward kinematics equation modeling using trigonometric equations. Forward kinematics modeling applications on the movement of the robot arm that is used to provide information about the value of the angle and the coordinates of each joint. Results of testing the hardware controlled by software to show the error (error) the movement of each joint is varied by between 0.06% - 2.567%.

scholarly journals A New 6 DOF Robotic Arm with Linkage Motion Mechanism and Actuators Placed in Base

2016 ◽  
Vol 5 (1) ◽  
pp. 35
Author(s):  
Mohsen Shahhosseini ◽  
Rambod Rastegari ◽  
Roozbeh Abbasi
Keyword(s):  
Mechanism Design ◽  
Degrees Of Freedom ◽  
Robotic Arm ◽  
Linkage Mechanism ◽  
Performance Simulation ◽  
Motion Mechanism ◽  
Six Degrees Of Freedom ◽  
Bevel Gears ◽  
Controller Performance ◽  
Special Case

<p>We examined mechanism design and kinematic simulation of a new six degrees of freedom (DOF) robotic arm with rotational joints and a linkage motion mechanism. In the design, a parallel linkage mechanism, accompanied by an additional set of bevel gears, was used to create the desired motion for all six links along with transfer of all actuators to the robot’s base to reduce the mass of most of the arms. These changes resulted in reduction of the torque required for joints 1, 2, and 3. Using this parallel mechanism ensures dependence to motion links and creates a special case for the control of the robot and more rigidity against unwanted movement. Initially, we examined mechanism design methods for a parallel linkage mechanism and considered methods for application in an operational robot. In the next step, we determined the kinematic relationships that were established between the robot’s actuators and joints spaces due to the use of this mechanism. Then, we developed an example of the robot’s function in a performance simulation. The simulation results indicated that the mechanism and controller performance were acceptable.</p>

A sealing robot system with visual seam tracking

Robotica ◽  
1984 ◽  
Vol 2 (1) ◽  
pp. 41-46 ◽  
Author(s):  
Susumu Sawano ◽  
Junichi Ikeda ◽  
Noriyuki Utsumi ◽  
Yukio Ohtani ◽  
Akira Kikuchi ◽  
...  
Keyword(s):  
Solid State ◽  
Degrees Of Freedom ◽  
Seam Tracking ◽  
Robot Hand ◽  
Robot Arm ◽  
Test Results ◽  
Robot System ◽  
Car Body ◽  
Flexible Mechanism

SUMMARYA new robot system has been introduced which was designed to seal the seams of car body panels. The system has nine degrees of freedom, and includes the following features: (1) A seam tracking servo using a solid-state TV camera is mounted at the robot hand to compensate for the seam deviations. (2) The robot arm is equipped with a flexible mechanism at the wrist to provide a wide working range for the seal nozzle. (3) A two axis orthogonal robot carrier is provided to make the robot follow the work on an indexed conveyor during the sealing operation. This paper deals with the structure and operation of the system and presents test results obtained on a sealing line.

The Development of a Myoelectric Training Tool for Above-Elbow Amputees

2012 ◽  
Vol 6 (1) ◽  
pp. 5-15 ◽  
Author(s):  
Michael R Dawson ◽  
Farbod Fahimi ◽  
Jason P Carey
Keyword(s):  
Degrees Of Freedom ◽  
Learning Task ◽  
Robotic Arm ◽  
Signal Acquisition ◽  
Myoelectric Prosthesis ◽  
Training Tool ◽  
Myoelectric Prostheses ◽  
Training Systems ◽  
Targeted Muscle Reinnervation

The objective of above-elbow myoelectric prostheses is to reestablish the functionality of missing limbs and increase the quality of life of amputees. By using electromyography (EMG) electrodes attached to the surface of the skin, amputees are able to control motors in myoelectric prostheses by voluntarily contracting the muscles of their residual limb. This work describes the development of an inexpensive myoelectric training tool (MTT) designed to help upper limb amputees learn how to use myoelectric technology in advance of receiving their actual myoelectric prosthesis. The training tool consists of a physical and simulated robotic arm, signal acquisition hardware, controller software, and a graphical user interface. The MTT improves over earlier training systems by allowing a targeted muscle reinnervation (TMR) patient to control up to two degrees of freedom simultaneously. The training tool has also been designed to function as a research prototype for novel myoelectric controllers. A preliminary experiment was performed in order to evaluate the effectiveness of the MTT as a learning tool and to identify any issues with the system. Five able-bodied participants performed a motor-learning task using the EMG controlled robotic arm with the goal of moving five balls from one box to another as quickly as possible. The results indicate that the subjects improved their skill in myoelectric control over the course of the trials. A usability survey was administered to the subjects after their trials. Results from the survey showed that the shoulder degree of freedom was the most difficult to control.

Cooperation and Null-Space Control of Networked Omni-Directional Mobile Manipulators

2020 ◽  
Author(s):  
Michael John Chua ◽  
Yen-Chen Liu
Keyword(s):  
Degrees Of Freedom ◽  
Null Space ◽  
Kinematic Model ◽  
Mobile Manipulator ◽  
Main Task ◽  
Mobile Manipulators ◽  
Robot Arm ◽  
Task Space ◽  
End Effector ◽  
Mobile Base

Abstract This paper presents cooperation and null-space control for networked mobile manipulators with high degrees of freedom (DOFs). First, kinematic model and Euler-Lagrange dynamic model of the mobile manipulator, which has an articulated robot arm mounted on a mobile base with omni-directional wheels, have been presented. Then, the dynamic decoupling has been considered so that the task-space and the null-space can be controlled separately to accomplish different missions. The motion of the end-effector is controlled in the task-space, and the force control is implemented to make sure the cooperation of the mobile manipulators, as well as the transportation tasks. Also, the null-space control for the manipulator has been combined into the decoupling control. For the mobile base, it is controlled in the null-space to track the velocity of the end-effector, avoid other agents, avoid the obstacles, and move in a defined range based on the length of the manipulator without affecting the main task. Numerical simulations have been addressed to demonstrate the proposed methods.

Design Human-Robot Collaborative Lifting Task Using Optimization

2021 ◽  
Author(s):  
Asif Arefeen ◽  
Yujiang Xiang
Keyword(s):  
Degrees Of Freedom ◽  
Joint Angle ◽  
Joint Torque ◽  
Robotic Arm ◽  
Inverse Dynamic ◽  
Floating Base ◽  
Grasping Forces ◽  
Design Variables ◽  
Human Arm ◽  
Lifting Task

Abstract In this paper, an optimization-based dynamic modeling method is used for human-robot lifting motion prediction. The three-dimensional (3D) human arm model has 13 degrees of freedom (DOFs) and the 3D robotic arm (Sawyer robotic arm) has 10 DOFs. The human arm and robotic arm are built in Denavit-Hartenberg (DH) representation. In addition, the 3D box is modeled as a floating-base rigid body with 6 global DOFs. The interactions between human arm and box, and robot and box are modeled as a set of grasping forces which are treated as unknowns (design variables) in the optimization formulation. The inverse dynamic optimization is used to simulate the lifting motion where the summation of joint torque squares of human arm is minimized subjected to physical and task constraints. The design variables are control points of cubic B-splines of joint angle profiles of the human arm, robotic arm, and box, and the box grasping forces at each time point. A numerical example is simulated for huma-robot lifting with a 10 Kg box. The human and robotic arms’ joint angle, joint torque, and grasping force profiles are reported. These optimal outputs can be used as references to control the human-robot collaborative lifting task.

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