Cooperative Control of Human-Robot System Using Fuzzy Reasoning

1995 ◽  
Vol 7 (1) ◽  
pp. 69-74
Author(s):  
Toshiro Noritsugu ◽  
◽  
Hiroyuki Inoue ◽  
Keyword(s):  
Cooperative Control ◽  
Robot Control ◽  
Degrees Of Freedom ◽  
Fuzzy Reasoning ◽  
Autonomous Control ◽  
Robot System ◽  
Control Approach ◽  
Human Control ◽  
Working Environments ◽  
Human Skills

The present autonomous control robots are technically difficult to introduce into unknown working environments. A cooperative control approach between human and robot may be an effective approach for complex and uncertain tasks. This study develops a new cooperative control approach between human and robot by using a fuzzy reasoning and handles force control under the uncertain working environments. The proposed control approach can achieve three control modes: manual, cooperative, and autonomous control, one of which can be automatically chosen by the operator through fuzzy reasoning. Fuzzy reasoning receives two inputs from the operator and the robot. By introducing the fuzzy reasoning, the various human skills can be introduced into cooperative control and can integrate an intuitive human control and a precise autonomous robot control. Some contacting tasks are executed for various object walls using a two-degrees of freedom Cartesian robot. The results indicate the availability of the proposed control approach.

Kinematics and cooperative control of a robotic spinal surgery system

Robotica ◽  
2014 ◽  
Vol 34 (1) ◽  
pp. 226-242 ◽  
Author(s):  
Haiyang Jin ◽  
Ying Hu ◽  
Wei Tian ◽  
Peng Zhang ◽  
Zhangjun Song ◽  
...  
Keyword(s):  
Spinal Surgery ◽  
Cooperative Control ◽  
Degrees Of Freedom ◽  
Hybrid Control ◽  
Control Mode ◽  
Assessment Index ◽  
Control Approach ◽  
Screw Insertion ◽  
Six Degrees Of Freedom ◽  
Speed Mode

SUMMARYSpinal surgery is considered a high-risk surgery. To improve the accuracy, stability, and safety of such operations, we report the development of a novel six-degrees-of-freedom Robotic Spinal Surgical System that can assist surgeons in performing transpedicular surgery, one of the most common spinal surgeries. After optimization performed using Response Surface Methodology, the largest available workspace of the robot is determined and is found to easily cover the entire operation area. Cooperative control and navigation-based active control are implemented for different processes of the operation. We propose a hybrid control approach based on the speed and torque interface at the joint level. In this mode, the robot is compliant in Cartesian space, benefitting both the accuracy and efficiency of the operation. A comprehensive assessment index, combining the subjective and objective criteria in terms of positioning and operation efficiency, is proposed to compare the performance of cooperative control in speed mode, torque mode, and hybrid control mode. Active fine adjustment experiments are carried out to verify the positioning accuracy, and the results are found to satisfy the requirements of operation. As an application example, a pedicle screw insertion experiment is performed on a pig vertebral bone, demonstrating the effectiveness of our system.

Enhanced Whole-Arm Robot Teleoperation Using a Semi-Autonomous Control Policy

2014 ◽  
Vol 136 (3) ◽  
Author(s):  
Hsien-I Lin ◽  
Chi-Li Chen
Keyword(s):  
Degrees Of Freedom ◽  
Position Control ◽  
Control Policy ◽  
Joint Space ◽  
Autonomous Control ◽  
Robot Arm ◽  
End Effector ◽  
Human Control ◽  
Pose Control ◽  
6 Degrees Of Freedom

Previous work in robot teleoperation focused on the movement of a robot's end-effector by a human operator. However, a lack of pose control in teleoperation resulted in the robot arm frequently colliding with obstacles. Furthermore, even with pose control, it is still difficult for the robot to quickly and accurately move to the target due to mechanical discrepancies between human and robot. This paper proposes a semi-autonomous method to teleoperate the robot arm by integrating whole-arm teleoperation in joint-space control and autonomous end-effector position control. The proposed method is validated through experimental work on a robot arm with 6 degrees of freedom, with results showing significant improvement in human control for reaching for objects safely, quickly, and accurately.

scholarly journals Improvement of hand functions of spinal cord injury patients with electromyography-driven hand exoskeleton: A feasibility study

2020 ◽  
Vol 1 ◽  
Author(s):  
Youngmok Yun ◽  
Youngjin Na ◽  
Paria Esmatloo ◽  
Sarah Dancausse ◽  
Alfredo Serrato ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Degrees Of Freedom ◽  
Standardized Test ◽  
Hand Function ◽  
Severe Disabilities ◽  
Finger Movements ◽  
Control Approach ◽  
Cord Injury ◽  
Hand Exoskeleton

Abstract We have developed a one-of-a-kind hand exoskeleton, called Maestro, which can power finger movements of those surviving severe disabilities to complete daily tasks using compliant joints. In this paper, we present results from an electromyography (EMG) control strategy conducted with spinal cord injury (SCI) patients (C5, C6, and C7) in which the subjects completed daily tasks controlling Maestro with EMG signals from their forearm muscles. With its compliant actuation and its degrees of freedom that match the natural finger movements, Maestro is capable of helping the subjects grasp and manipulate a variety of daily objects (more than 15 from a standardized set). To generate control commands for Maestro, an artificial neural network algorithm was implemented along with a probabilistic control approach to classify and deliver four hand poses robustly with three EMG signals measured from the forearm and palm. Increase in the scores of a standardized test, called the Sollerman hand function test, and enhancement in different aspects of grasping such as strength shows feasibility that Maestro can be capable of improving the hand function of SCI subjects.

A Reinforcement Learning Empowered Cooperative Control Approach for IIoT-based Virtually Coupled Train Sets

2020 ◽  
pp. 1-1
Author(s):  
Hongwei Wang ◽  
Qianqian Zhao ◽  
Siyu Lin ◽  
DongLiang Cui ◽  
Chengcheng Luo ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Cooperative Control ◽  
Control Approach

scholarly journals Analysis of Upper-Limb and Trunk Kinematic Variability: Accuracy and Reliability of an RGB-D Sensor

2020 ◽  
Vol 4 (2) ◽  
pp. 14
Author(s):  
Alessandro Scano ◽  
Robert Mihai Mira ◽  
Pietro Cerveri ◽  
Lorenzo Molinari Tosatti ◽  
Marco Sacco
Keyword(s):  
Upper Limb ◽  
Gold Standard ◽  
Degrees Of Freedom ◽  
Cost Effective ◽  
Human Motion ◽  
Working Environments ◽  
Wide Range ◽  
Upper Limb Movements ◽  
Clinical Environments ◽  
Point To Point

In the field of motion analysis, the gold standard devices are marker-based tracking systems. Despite being very accurate, their cost, stringent working environments, and long preparation time make them unsuitable for small clinics as well as for other scenarios such as industrial application. Since human-centered approaches have been promoted even outside clinical environments, the need for easy-to-use solutions to track human motion is topical. In this context, cost-effective devices, such as RGB-Depth (RBG-D) cameras have been proposed, aiming at a user-centered evaluation in rehabilitation or of workers in industry environment. In this paper, we aimed at comparing marker-based systems and RGB-D cameras for tracking human motion. We used a Vicon system (Vicon Motion Systems, Oxford, UK) as a gold standard for the analysis of accuracy and reliability of the Kinect V2 (Microsoft, Redmond, WA, USA) in a variety of gestures in the upper limb workspace—targeting rehabilitation and working applications. The comparison was performed on a group of 15 adult healthy subjects. Each subject had to perform two types of upper-limb movements (point-to-point and exploration) in three workspace sectors (central, right, and left) that might be explored in rehabilitation and industrial working scenarios. The protocol was conceived to test a wide range of the field of view of the RGB-D device. Our results, detailed in the paper, suggest that RGB-D sensors are adequate to track the upper limb for biomechanical assessments, even though relevant limitations can be found in the assessment and reliability of some specific degrees of freedom and gestures with respect to marker-based systems.

scholarly journals Multi-Robot Trajectory Planning and Position/Force Coordination Control in Complex Welding Tasks

2019 ◽  
Vol 9 (5) ◽  
pp. 924 ◽  
Author(s):  
Yahui Gan ◽  
Jinjun Duan ◽  
Ming Chen ◽  
Xianzhong Dai
Keyword(s):  
Trajectory Planning ◽  
Cooperative Control ◽  
Impedance Control ◽  
Welding Process ◽  
Coordination Control ◽  
Control Approach ◽  
Force Coordination ◽  
Force Tracking ◽  
Robot Systems ◽  
Multi Robot

In this paper, the trajectory planning and position/force coordination control of multi-robot systems during the welding process are discussed. Trajectory planning is the basis of the position/ force cooperative control, an object-oriented hierarchical planning control strategy is adopted firstly, which has the ability to solve the problem of complex coordinate transformation, welding process requirement and constraints, etc. Furthermore, a new symmetrical internal and external adaptive variable impedance control is proposed for position/force tracking of multi-robot cooperative manipulators. Based on this control approach, the multi-robot cooperative manipulator is able to track a dynamic desired force and compensate for the unknown trajectory deviations, which result from external disturbances and calibration errors. In the end, the developed control scheme is experimentally tested on a multi-robot setup which is composed of three ESTUN industrial manipulators by welding a pipe-contact-pipe object. The simulations and experimental results are strongly proved that the proposed approach can finish the welding task smoothly and achieve a good position/force tracking performance.

scholarly journals Impedance Model-Based Optimal Regulation on Force and Position of Bimanual Robots to Hold an Object

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Darong Huang ◽  
Hong Zhan ◽  
Chenguang Yang
Keyword(s):  
Degrees Of Freedom ◽  
Target Position ◽  
Internal Force ◽  
Robot System ◽  
Joint Torques ◽  
Impedance Model ◽  
Generalized Momentum ◽  
Optimal Target ◽  
End Effectors ◽  
Bimanual Robot

Bimanual robots have been studied for decades and regulation on internal force of the being held object by two manipulators becomes a research interest in recent years. In this paper, based on impedance model, a method to obtain the optimal target position for bimanual robots to hold an object is proposed. We introduce a cost function combining the errors of the force and the position and manage to minimize its value to gain the optimal coordinates for the robot end effectors (EE). To implement this method, two necessary algorithms are presented, which are the closed-loop inverse kinematics (CLIK) method to work out joint positions from desired EE pose and the generalized-momentum-based external force observer to measure the subjected force acting on the EE so as to properly compensate for the joint torques. To verify the effectiveness, practicality, and adaptivity of the proposed scheme, in the simulation, a bimanual robot system with three degrees of freedom (DOF) in every manipulator was constructed and employed to hold an object, where the results are satisfactory.

A Rat-Robot Control System Based on Optogenetics

2013 ◽  
Vol 461 ◽  
pp. 848-852 ◽  
Author(s):  
Song Chao Guo ◽  
Hong Zhou ◽  
Yue Ming Wang ◽  
Xiao Xiang Zheng ◽  
Ke Di Xu
Keyword(s):  
Control System ◽  
Electrical Activity ◽  
Real Time ◽  
Navigation System ◽  
Robot Control ◽  
Robot Navigation ◽  
Freezing Behavior ◽  
Robot System ◽  
Optical Stimulation ◽  
Different Types

We developed a rat-robot system based on optogenetic techniques for the precise freezing behavior. Rat-robots were built up by optogenetic modulation at the dlPAG of rat brains. We conducted track navigation for the rat-robots and found they were able to exhibit precise freezing at given positions with high spatiotemporal accuracy. Different types of optical stimulation were compared and their influence on the rat-robots was investigated. Furthermore we recorded the neural electrical activity in real time during the optical stimulation. The system could be used to explore the mechanism of freezing behaviors and to build up a more integrated rat-robot navigation system based on optical modulations.

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