R. Abayasiri, R. S. T. Abayasiri, R. A. G. M. Gunawardhana, R. Premakumara, S. Mallikarachchi, R. Gopura, T. Lalitharatne, D. B. G. Madusanka
{"title":"An Under-Actuated Hand Prosthesis with Finger Abduction and Adduction for Human Like Grasps","authors":"R. Abayasiri, R. S. T. Abayasiri, R. A. G. M. Gunawardhana, R. Premakumara, S. Mallikarachchi, R. Gopura, T. Lalitharatne, D. B. G. Madusanka","doi":"10.1109/ICCAR49639.2020.9107986","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9107986","url":null,"abstract":"Loss of a hand can severely limit the functions of Activities in Daily Living (ADL). Hand prostheses replace the missing hands and enable the lost hand functions. Dexterity of the hand prosthesis depends on the achievable finger motions by the hand prosthesis. However, the dexterity of a hand prosthesis is reduced due to the absence of the finger Abduction/ Adduction (Abd/ Add) motion. In this paper an active prosthetic hand is proposed with a novel mechanism for finger Abd/Add motion (except for the middle finger). The proposed under-actuated hand prosthesis has 15 Degrees of Freedom (DoF) designed to obtain flexion/ extension (F/E) motion for all five fingers, opposition/ reposition (Opp/Rep) of the thumb finger and compound Abd/ Add of four fingers. Furthermore, an EMG based prosthesis controller with Multilayer Perceptron Neural Network is used to control the proposed hand prosthesis. Experiments have been carried out to validate the effectiveness of the hand prosthesis in generating grasping patterns for ADL and to measure the effectiveness of the implemented prosthesis controller for different prosthesis users.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127461914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ngoc Pham Van Bach, T. Duy, Khanh Bui Quoc, T. Trung
{"title":"Dynamics Model and Design of SMCNN Controller for 4DOF Car Motion Simulator","authors":"Ngoc Pham Van Bach, T. Duy, Khanh Bui Quoc, T. Trung","doi":"10.1109/ICCAR49639.2020.9107999","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9107999","url":null,"abstract":"This research briefly presents the model of four degrees of freedom (4-DOF) car motion simulators using the parallel and serial mechanism. Firstly, the kinematic and dynamics model of 4-DOF are presented. The actual model of the simulator is often deficient in the system's parameters or has the nonlinear uncertainties. Therefore a Sliding Model Control base on artificial intelligence neural network is proposed to approximate the uncertain elements and ensure the stability of the system at the same time. The stability of the system is proved based on Lyapunov theorem. Finally, simulation results verify the effectiveness and accuracy of the proposed algorithm and the comparison between using neural network and not using this element indicates the superiority of the proposed controller.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124597212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Hardware Proof of Concept of Networked Adaptive Systems","authors":"Sriamoghvarsha B. Srinivasa, R. Makam, K. George","doi":"10.1109/ICCAR49639.2020.9108075","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9108075","url":null,"abstract":"A hardware proof of concept of adaptation over the internet to achieve stability and output tracking despite the presence of both packet dropouts and delays induced by the network is provided in this paper. Assuming that the parameters of the models of the physical systems are unknown, a modified model reference adaptive control law for such networked adaptive systems ensures that the outputs of these systems asymptotically track specified desired trajectories. Further, we demonstrate that the multiple models, switching, and tuning methodology improves the transient performance. The example systems considered here are the Linear Servo Base Unit and the Qube Servo.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129270427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Sachin, S. Srihari, K. Prajeesh, Nikhil Prem, B. Sreevasudev, K. Bharath
{"title":"Increasing Accessibility of Electric Vehicles with Joystick Based Drive-By-Wire Model","authors":"C. Sachin, S. Srihari, K. Prajeesh, Nikhil Prem, B. Sreevasudev, K. Bharath","doi":"10.1109/ICCAR49639.2020.9107978","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9107978","url":null,"abstract":"The automotive industry is shifting towards a cleaner alternative: electric vehicles. This change can be utilized to bring about an improvement to the usage accessibility of these vehicles. This paper proposes a way to implement a joystick control in an electric vehicle which can be used to drive the vehicle independently for anyone who has the ability to move and have control over their arms and wrists. The joystick, accessible to the driver, can be used for moving the vehicle in the desired direction. The work proposed here makes use of a drive by wire technology to operate the vehicle. The driving motor is connected to the joystick through a microcontroller. Another motor, which is connected to the steering column through a chain and sprocket, is used to steer the vehicle. This joystick controlled driving ensures that multiple amputees or differently abled people can drive it with ease.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125119428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Improved Algorithm of Deep Q-learning Network Based on Eligibility Trace","authors":"Bingyan Liu, X. Ye, ChiFei Zhou, Yijing Liu, Qiyang Zhang, Fang Dong","doi":"10.1109/ICCAR49639.2020.9108040","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9108040","url":null,"abstract":"At present, Deep Q-learning Network has become an important research direction in reinforcement learning. However, in practical application, the Deep Q-learning Network always overestimates the action value under certain conditions and has a high cost. In this paper, a new improved algorithm is proposed. The new improved algorithm uses the behavioral qualification tracking of each state for experience playback, so as to find the samples we need to learn more effectively. The behavior eligibility trace is considered in the process of Max calculation, and the problem of overestimation is solved effectively. In the process of optimizer training, trace fading is considered to effectively improve the learning effect and accelerate the convergence of the algorithm. The simulation results of different algorithms applied to the inverted pendulum system show that the new algorithm has better convergence effect, lower cost and lower overestimation than the Natural Deep Q-learning Network. The experimental results show that the new algorithm plays an active role in deep reinforcement learning and has a bright future.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125271000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Indoor Navigation of a Service Robot Platform Using Multiple Localization Techniques Using Sensor Fusion","authors":"Ruchik Mishra, C. Vineel, A. Javed","doi":"10.1109/ICCAR49639.2020.9108074","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9108074","url":null,"abstract":"The adversities of navigating in an unknown environment are challenging for autonomous robots as they not only rely on the quality of the sensor data but also on the type of environment. The errors can cumulatively result in a catastrophic failure of the purpose. This paper proposes a way for an autonomous agent to navigate in an indoor structured environment by minimizing the errors. A 2 DoF differential drive robot is developed and the map-building process is done wirelessly in the teleoperation mode using bluetooth. In the navigation mode, various approaches are tested for localizing such as the Extended Kalman Filter, Unscented Kalman Filter and a particle filter called the Adaptive Monte Carlo Localization which uses KLD (Kullback-Leibler Distance) as the sampling method. The designed navigation system is accurate and also time saving, thereby increasing the efficiency of the robotic system. All the implementation has been done using the Robotic Operating System because of the available packages that satisfy the technical aspects of the paper and further changes have been made in them to make them suitable for use in this scenario.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"163 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131435926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design Optimization of Tree-type Robotic Systems Using Exponential Coordinates and Genetic Algorithms","authors":"J. Amar, K. Nagase","doi":"10.1109/ICCAR49639.2020.9108071","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9108071","url":null,"abstract":"This paper proposes a new way to optimize the robotic systems using a combination of exponential coordinates and genetic algorithms. The exponential coordinates are an intuitive parametrization to describe the kinematics and dynamics of robotic systems, which only relies on a few parameters called the exponential parameters. The tree-type robotic systems composed of a set of serial link chains are considered in the design. In addition to the physical and the exponential parameters, we also optimize the joints connection (tree structure) by employing the chain matrix. These parameters can be efficiently coded into the strings of the genetic algorithm. Using the strings, we can conduct a simultaneous design optimization including the joint configuration (system geometry) and the joint distribution (system topology). A design example of a 2D arm-hand manipulator system illustrates the proposed method.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132602153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qiong Liu, S. Ge, Yan Li, Mingye Yang, Hao Xu, K. Tee
{"title":"A Simpler Adaptive Neural Network Tracking Control of Robot Manipulators by Output Feedback","authors":"Qiong Liu, S. Ge, Yan Li, Mingye Yang, Hao Xu, K. Tee","doi":"10.1109/ICCAR49639.2020.9108064","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9108064","url":null,"abstract":"The trajectory tracking problem of a class of robot manipulators is investigated by a simpler design adaptive neural network(NN) in this paper. The Radial Basis Function(RBF) NN is utilized to handle the uncertainties of the dynamics. Compared with the traditional schemes, the dimension of the input vectors of RBFNN is decrease from $4n$ to $3n$ but it have equal tracking and approximation performances. The output feedback control is considered when the velocity information cannot be obtained. Moreover, the weights of RBFNN converge to its optimal value by using the auxiliary filter to estimate weights error. The robot manipulator system is semi-globally and uniformly bounded which is proved by Lyapunov's theory. Simulation results demonstrate that the simpler controller has the same capability compared with the non-simplified method.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"85 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132719728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gene Patrick S. Rible, Nicolette Ann A. Arriola, M. Ramos
{"title":"Fail-Safe Controller Architectures for Quadcopter with Motor Failures","authors":"Gene Patrick S. Rible, Nicolette Ann A. Arriola, M. Ramos","doi":"10.1109/ICCAR49639.2020.9108038","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9108038","url":null,"abstract":"A fail-safe algorithm in case of motor failure was developed, simulated, and tested. For practical fail-safe flight, the quadcopter may fly with only three or two opposing propellers. Altitude for two-propeller architecture was maintained by a PID controller that is independent from the inner and outer controllers. A PID controller on propeller force deviations from equilibrium was augmented to the inner controller of the three-propeller architecture. Both architectures used LQR for the inner attitude controller and a damped second order outer controller that zeroes the error along the horizontal coordinates. The restrictiveness, stability, robustness, and symmetry of these architectures were investigated with respect to their output limits, initial conditions, and controller frequencies. Although the three-propeller architecture allows for distribution of propeller forces, the two-propeller architecture is more efficient, robust, and stable. The two-propeller architecture is also robust to model uncertainties. It was shown that higher yaw rate leads to greater stability when operating in fail-safe mode.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133613131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fractional-Order Fuzzy PID Contouring Control for a VCMs-Based X-Y Motion Stage","authors":"Syuan-Yi Chen, He Lin, Meng Yang, Zong-Yue Shen","doi":"10.1109/ICCAR49639.2020.9108077","DOIUrl":"https://doi.org/10.1109/ICCAR49639.2020.9108077","url":null,"abstract":"The object of this study is to develop a fractional-order fuzzy proportional-integral-derivative (FOFPID) control system for controlling the mover position of a voice coil motors (VCMs)-based x-y motion stage. First, the operating principle and dynamics of the VCMs-based x-y motion stage are analyzed. Then, a design of the fractional-order proportional-integral-derivative (FOPID) control system is introduced on the basis of the fractional calculus. With the additional degree of freedom to the control parameters, the FOPID controller can upgrade the contouring performance levels of the conventional proportional-integral-derivative (PID) controller in transient and steady-state responses with respect to the dynamic of the VCMs-based x-y motion stage. To further improve the control response of the FOPID controller, the FOFPID control system is thus designed by integrating a fuzzy logic controller. Finally, to evaluate and compare the contouring performances of the PID, FOPID, FOFPID control systems, two test conditions are provided which are the nominal condition and payload condition. Experimental results demonstrated that the developed FOFPID controller outperforms conventional PID and FOPID controllers with regard to the VCM-based x-y motion stage under both conditions. The good stability and smoothness against to the parameter variations of the FOFPID can also be observed clearly.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134139794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}