IAES International Journal of Robotics and Automation (IJRA)
Not a member yet
460 research outputs found
Sort by
Adaptive Fuzzy and Robust H∞ Compensation Control for Uncertain Robot
Get PDFIn this paper, two types of robust adaptive compensation control schemes for the trajectory tracking control of robot manipulator with uncertain dynamics are proposed. The proposed controllers incorporate the computed-torque control scheme as a nominal portion of the controller; an adaptive fuzzy control algorithm to approximate the structured uncertainties; and a nonlinear H∞ tracking control model as a feedback portion to eliminate the effects of the unstructured uncertainties and approximation errors. The validity of the robust adaptive compensation control schemes is investigated by numerical simulations of a two-link rotary robot manipulato
Behavior-Based Approach for the Detection of Land Mines Utilizing off the Shelf Low Cost Autonomous Robot
Get PDFSeveral countries all of the world are affected by landmines. The presence of mines represents a major threat to lives and causes economic problems. Currently, detecting and clearing mines demand specific expertise with special equipment. In this context, this paper offers the design and development of an intelligent controller which can control and enable the robot to detect mines by means of sensors and of processing the fused information to guide soldiers when passing landmines. This is accomplished by broken down the overall system into two subsystems: sensor technologies and robotic device. Sensors devices include infrared distance sensor, metal detector, ultrasonic range finder, accelerometer sensor, while the structure of the robot in our case consists mainly of a commercial off-the-shelf parts which are available at low costs. The proposed controller is mainly based on creating fuzzy rules that reflect the behaviors of soldier beings in controlling a robot in a well known landmine. Simulation and experimental results are presented her to prove the efficiency of the proposed approach. The results show that the system is able to detect landmines and guide soldiers while crossing mines area
Investigation In Two Wheels Mobile Robot Movement: Stability and Motion Paths
Get PDFThis paper deals with the problem of dynamic modelling of inspection robot two wheels. Fuzzy controller based on robotics techniques for optimize of an inspection stability. The target is to enhancement of robot direction and avoids the obstacles. To find collision free area, distance-sensors such as ultra-sonic sensors and laser scanners or vision systems are usually employed. The distance-sensors offer only distance information between mobile robots and obstacles. Also the target are shown can be reached by different directions. The fuzzy logic controller is effect to avoid the abstacles and get ideal direction to “the target box”
Design of Micro Robot for Minimally Invasive Surgery
Get PDFMicro robots for medical applications need to be compatible with human body, remotely controllable, smooth in movement, less painful to the patients and capable of performing the designated functions. In this paper, state of the art in the design, fabrication and control of micro robots are presented. First the benefits of micro robots in medical applications are listed out. Second, the predominantly used micro robot designs are discussed. Third, the various fabrication process used in micro robot construction are presented. Fourth, the different approaches used for its operation and control in micro robot technology are narrated. Next based on the review we have designed a swimming micro robot driven by external magnetic fields for minimally invasive surgery. The advantage of EMA is that it can generate a wireless driving force. Then, the locomotive mechanism of the micro robot using EMA is presented. Using the EMA system setup various experiments have been conducted. Finally, the performance of the swimming micro robot is evaluated.
Parallel Graph Transformation based on Merged Approach
Get PDFGraph transformation is one of the key concepts in graph grammar. In order to accelerate the graph transformation, the concept of parallel graph transformation has been proposed by different tools such as AGG tool. The theory of parallel graph transformation used by AGG just allows clarifying the concepts of conflict and dependency between the transformation rules. This work proposes an approach of parallel graph transformations which enables dependent transformation rules to be executed in parallel
Automated Sequential Pushing of Micro Objects By Using Adaptive Controller
Get PDFThis paper focuses on precision automated pushing of multiple micro objects. An adaptive control system is proposed to accurately push and position the micro objects on a substrate. Each micro object exhibits different characteristics in terms of the surface micro forces governing the manipulation process. The controller is designed to compensate for the effect of the micro forces whose aggregated magnitude varies during the process. An experimental setup is designed to validate the performance of the proposed controller. The results of the experiments confirm that the proposed adaptive controller is capable of learning to adjust its parameters effectively, when the surface micro forces change under varying surface and ambient conditions
Analysis of Inverse Kinamtics of an Anthropomorphic Robotic hand
No full textIn this paper, a new method for solving the inverse kinematics of the fingers of an anthropomorphic hand is proposed. Solution of inverse kinematic equations is a complex problem, the complexity comes from the nonlinearity of joint space and Cartesian space mapping and having multiple solutions.This is a typical problem in robotics that needs to be solved to control the fingers of an anthropomorphic robotic hand to perform tasks it is designated to do. With more complex structures operating in a 3-dimensional space deducing a mathematical soluation for the inverse kinematics may prove challenging. In this paper, using the ability of ANFIS (Adaptive Neuro-Fuzzy Inference System) to learn from training data, it is possible to create ANFIS network, an implementation of a representative fuzzy inference system using ANFIS structure, with limited mathematical representation of the system. The main advantages of this method with respect to the other methods are implementation is easy, very fast and shorter computation time and better response with acceptable error
End-Effector Position Analysis Using Forward Kinematics For 5 Dof Pravak Robot Arm
Get PDFAutomatic control of the robotic manipulator involves study of kinematics and dynamics as a major issue. This paper involves the kinematic analysis of a Pravak Robot arm which is used for doing successful robotic manipulation task in its workspace. The Pravak Robot Arm is a 5-DOF robot having all the joints revolute. The kinematics problem is defined as the transformation from the Cartesian space to the joint space and vice versa. In this study the Denavit- Hartenberg (D-H) model is used to model robot links and joints. Pravak Robot Arm is a simple and safe robotic system designed for laboratory training and research applications. This robot allows to gain theoretical and practical experience in robotics, automation and control systems. The MATLAB R2007 is used to analyse end effectors position for a set of joint parameter
Electromyographic Grasp Recognition for a Five Fingered Robotic Hand
Get PDFThis paper presents classification of grasp types based on surface electromyographic signals. Classification is through radial basis function kernel support vector machine using sum of wavelet decomposition coefficients of the EMG signals. In a study involving six subjects, we achieved an average recognition rate of 86%. The electromyographic grasp recognition together with a 8-bit microcontroller has been employed to control a fivefingered robotic hand to emulate six grasp types used during 70% daily living activities
UAV Controller Based on Adaptive Neuro-Fuzzy Inference System and PID
Get PDFANFIS is combining a neural network with a fuzzy system results in a hybrid neuro-fuzzy system, capable of reasoning and learning in an uncertain and imprecise environment. In this paper, an adaptive neuro-fuzzy inference system (ANFIS) is employed to control an unmanned aircraft vehicle (UAV). First, autopilots structure is defined, and then ANFIS controller is applied, to control UAVs lateral position. The results of ANFIS and PID lateral controllers are compared, where it shows the two controllers have similar results. ANFIS controller is capable to adaptation in nonlinear conditions, while PID has to be tuned to preserves proper control in some conditions. The simulation results generated by Matlab using Aerosim Aeronautical Simulation Block Set, which provides a complete set of tools for development of six degree-of-freedom. Nonlinear Aerosonde unmanned aerial vehicle model with ANFIS controller is simulated to verify the capability of the system. Moreover, the results are validated by FlightGear flight simulator