Article
Robotics
Hwi-Su Kim, Jongwoo Park, Myeongsu Bae, Dongil Park, Chanhun Park, Hyun Min Do, Taeyong Choi, Doo-Hyeong Kim, Jinho Kyung
Summary: In recent years, there have been significant advancements in human-robot cooperation, particularly in terms of productivity and achieving high payload, speed, and accuracy. To address the challenge of integrating industrial robots into human-robot cooperation, counterbalance robot arms have been developed to prevent injuries caused by collisions or errors. This research proposes an advanced counterbalance mechanism using gear units and springs, which improves durability and reliability compared to existing wire-based mechanisms. Furthermore, the proposed method has been extended to a multi-DOF system, demonstrating effectiveness in reducing gravitational torques.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Engineering, Multidisciplinary
Zhen Wang, Lei Kou, Wende Ke, Yuhan Chen, Yan Bai, Qingfeng Li, Dongxin Lu
Summary: In this paper, the Linear Quadratic Regulator (LQR) method is used to track the center of mass (COM) of a robot, and the whole-body-control method and value function generated in the process of tracking COM are used to construct the quadratic programming (QP) model of a biped robot. The torque feedforward of the robot is obtained in the Drake simulation platform, and the torque feedforward information is transformed into position feedforward information by spring compensation. The experimental results show that the spring compensation method is both reasonable and effective for improving the motion performance of a low-cost biped robot.
Article
Automation & Control Systems
Mohammad Reza J. Harandi, S. Ahmad Khalilpour, Hamid D. Taghirad
Summary: This article investigates the regulation control problem of underactuated cable-driven parallel robots with closed kinematic chains. The interconnection and damping assignment passivity-based control approach is used, which requires solving challenging partial differential equations (PDEs). The tension in the cables, as well as the positive tension, is taken into consideration. The PDE for the controller design is solved by transforming it into Pfaffian differential equations. The proposed controller's efficiency is confirmed through experiments and compared to another method.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Multidisciplinary
Zihan Xu, Qin Fang, Yong Ren, Chengju Liu
Summary: In this paper, an active balance control framework is proposed for position-controlled robots, which includes a compliant controller and a fuzzy footstep planner. The framework addresses the challenges of force estimation and footstep generation. Experimental results validate the effectiveness and robustness of the proposed framework.
JOURNAL OF BIONIC ENGINEERING
(2023)
Article
Engineering, Mechanical
Haitao Liu, Zhibiao Yan, Juliang Xiao
Summary: The proposed calibration method for a 5-DOF hybrid robot effectively addresses the contradiction between measurement efficiency and calibration accuracy while achieving real-time compensation with high precision. By establishing an error prediction model and designing an embedded joint error compensator based on BPNN, the maximum position/orientation errors in the robot's entire workspace can be significantly reduced.
MECHANISM AND MACHINE THEORY
(2022)
Article
Engineering, Mechanical
Ke Shi, Jun Yang, Yao Tong, Zhimin Hou, Haoyong Yu
Summary: This paper presents a cable-driven gravity compensation mechanism applied in a robotic system and demonstrates its effectiveness through an example.
MECHANISM AND MACHINE THEORY
(2023)
Article
Automation & Control Systems
Tong Yang, Ning Sun, Yongchun Fang, Xin Xin, He Chen
Summary: This article proposes a new adaptive motion controller for robot manipulators, which ensures zero positioning errors and accurate gravity compensation, while satisfying specific motion constraints. The proposed controller is also extended for output feedback control without velocity measurement/numerical differential operations. By introducing a nonlinear auxiliary term, all links accurately reach their desired positions without exceeding preset constraints, while estimating the gravity vector online to eliminate static errors. The asymptotic stability of the system equilibrium point is strictly proven, based on the elaborately constructed Lyapunov function candidate. Compared with existing controllers, the designed control schemes have fewer control gain conditions, more concise closed-loop stability analysis, and higher safety satisfying specific constraints.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Multidisciplinary Sciences
M. G. Navaneeth, A. P. Sudheer, M. L. Joy
Summary: This paper presents a CWC-based optimum gait generation for the dynamic biped locomotion, incorporating contact stability using the concept of Contact Wrench Cones. The NSGA-II algorithm is used for optimization. The results show the generation of stable dynamic gaits on different surfaces.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2022)
Article
Automation & Control Systems
Xiaoming Yue, Zhiyuan Chen, Zuoke Xu, Jing Liu
Summary: A new EDM milling method based on a 6-DOF serial robot is proposed in this study to address the issues of flexibility and size limitation in traditional methods. Through servo control strategies and wear compensation, the feasibility and effectiveness of this method in machining various types of workpieces are verified.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Multidisciplinary
Siming Cao, Qunlin Cheng, Yingjie Guo, Weidong Zhu, Haijin Wang, Yinglin Ke
Summary: This paper presents a pose error compensation method carried out in joint space to enhance the accuracy of both position and orientation in industrial robots. By dividing the joint space and constructing spatial databases, the pose errors are compensated using spatial interpolation and transformation error matrices. Experimental results demonstrate that this method can significantly reduce the position and orientation errors of the robot.
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
(2022)
Article
Automation & Control Systems
Xiaojian Wang, Jun Wu, Yutian Wang
Summary: This paper studies the dynamic performance evaluation method of the 2UPU/SP parallel mechanism in a hybrid robot for aerospace composite machining and compares its dynamic performance with the traditional Tricept mechanism. The results show that the 2UPU/SP mechanism has better dynamic performance in vertical placement.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2021)
Article
Mechanics
Yinan Jin, Prashant K. K. Jamwal, Roland Goecke, Mergen H. H. Ghayesh, Shahid Hussain
Summary: Robot-assisted rehabilitation is a rapidly advancing field that uses robotic devices to treat disabilities. The design and actuation of these devices are crucial for effective treatment, as non-ergonomic designs can cause discomfort and further gait disorders. This article introduces a new gait robot design that addresses these issues by incorporating intrinsically compliant actuators and increased degrees of freedom. The design ensures alignment with human anatomical joints and allows for natural walking dynamics. The robot firmware is optimized using adaptive neuro-fuzzy inference system to improve computational efficiency. The design is validated for gait rehabilitation using a fuzzy logic controller and evaluating joint profiles.
MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES
(2023)
Article
Engineering, Electrical & Electronic
Yutao Chen, Yahao Wang, Xuming Tang, Kai Wu, Shaolei Wu, Rui Guo, Yuliang Zhao, Erbao Dong
Summary: This paper proposes a 6-DOF bilateral hybrid teleoperation control strategy that can map the workspace of the manipulators without changing the operation accuracy. The hybrid control includes admittance and force control based on feedback from a force sensor. The control strategies switch autonomously through the positioning of the Sigma.7 handle in the workspace. Extensive experiments are conducted to evaluate the changes in displacement and velocity before and after the switching process and under different control parameters.
Article
Automation & Control Systems
Karla Rincon, Isaac Chairez, Wen Yu
Summary: This study introduces a new type of trajectory tracking robust controllers for a class of rehabilitation robotic system considering articulations restrictions. Numerical evaluations confirm the effectiveness of the proposed controller in tracking reference trajectories and satisfying articulation restrictions.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Robotics
Jitendra Kumar, Ashish Dutta
Summary: In this paper, a new method is proposed for finding a feasible energy-efficient path on uneven terrain. The method integrates information of terrain and robot dynamics to plan the path and uses numerical methods to solve the Eikonal equation. Additionally, optimization and neural network training are applied to generate optimal foot and hip trajectories.
Article
Computer Science, Artificial Intelligence
Satoshi Ito, Shoya Sugiura, Yuya Masuda, Shumpei Nohara, Ryosuke Morita
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2020)
Article
Computer Science, Cybernetics
Satoshi Ito, Keito Uchizono, Ryosuke Morita
CYBERNETICS AND SYSTEMS
(2020)
Article
Computer Science, Cybernetics
Satoshi Ito, Kazuya Tomabechi, Ryosuke Morita
Summary: This study demonstrates an adaptive phenomenon in human balance control and perception through experiments and computer simulations, proposing a new explanation and exploring the mechanism of balance control.
BIOLOGICAL CYBERNETICS
(2021)
Review
Chemistry, Multidisciplinary
Minoru Sasaki, Joseph Muguro, Fumiya Kitano, Waweru Njeri, Kojiro Matsushita
Summary: This paper proposes a method that utilizes deep reinforcement learning and mapping algorithm to address the issue of applying simulated data to the real world. Experimental results demonstrate the high sim-real generalization capabilities of this method.
APPLIED SCIENCES-BASEL
(2022)
Article
Robotics
Ryutaro Kaneko, Yuji Nakamura, Ryosuke Morita, Satoshi Ito
Summary: In this study, a method for creating a point cloud data (PCD) map required for LiDAR localization in autonomous driving is proposed. The method involves creating PCD maps from paper design drawings and using tablet-scans to supplement objects not depicted in the drawings. The effects of three factors on localization accuracy are evaluated, namely the gap size in the PCD map, presence of the tablet-scan data, and random point alignment during map creation. The results demonstrate the existence of an optimal gap size and the accuracy enhancement achieved by using both tablet-scan data and random point alignment, enabling successful autonomous driving using the PCD map created using the proposed method.
ARTIFICIAL LIFE AND ROBOTICS
(2023)
Article
Engineering, Multidisciplinary
Muhammad Syaiful Amri bin Suhaimi, Kojiro Matsushita, Takahide Kitamura, Pringgo Widyo Laksono, Minoru Sasaki
Summary: The purpose of this paper is to achieve accurate object grasping with a 3D robot arm controlled by EMG gaze estimation and camera image processing. The system consists of a robot arm, cameras, a display, and EOG measurement analyzer. The experiments confirmed that using a 3cm distance threshold for object selection resulted in a 27% faster grasping speed compared to a 2cm threshold.
Article
Engineering, Mechanical
Minoru Sasaki, Joseph Muguro, Waweru Njeri, Arockia Selvakumar Arockia Doss
Summary: This paper proposes a control method for a 2-link, 2-DOF flexible manipulator using an inverse feedforward controller and an adaptive notch filter. Transient and residual vibrations in the manipulator are reduced by the feedforward adaptive notch filter and strain feedback. The experimental results show that the adaptive notch filter control method improves the reduction in resonant frequencies by over 80% and confirms the feasibility of the approach.
Proceedings Paper
Automation & Control Systems
Daisuke Tsubakino, Ryosuke Morita
Summary: This paper investigates the optimal control problem for systems composed of multiple identical continuous-time linear time-invariant subsystems. By incorporating the idea of event-triggered control, the cooperative feedback signal is updated in a discrete-time manner. The effectiveness of the proposed control law is examined through numerical simulations.
2022 61ST ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS (SICE)
(2022)
Proceedings Paper
Automation & Control Systems
Yusuke Isozumi, Satoshi Ito, Ryosuke Morita, Yuki Funabora
Summary: This paper introduces a method for creating a 3D PCD map using a spherical camera for LiDAR self-localization, simplifying the process and demonstrating automated driving based on the map obtained.
2021 60TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE)
(2021)
Article
Computer Science, Artificial Intelligence
Joseph K. Muguro, Pringgo Widyo Laksono, Yuta Sasatake, Kojiro Matsushita, Minoru Sasaki
Summary: The study monitored driver engagement through participation in an AR game, revealing significant findings in reaction time for the game task. Game scoring showed three profiles: learning, saturation, and decline, which can be used to quantify driver engagement with the game task.
MULTIMODAL TECHNOLOGIES AND INTERACTION
(2021)
Article
Engineering, Electrical & Electronic
Pringgo Widyo Laksono, Takahide Kitamura, Joseph Muguro, Kojiro Matsushita, Minoru Sasaki, Muhammad Syaiful Amri bin Suhaimi
Summary: The research focuses on classifying upper arm movements of humans using electromyography signals with machine learning models to control a robotic arm. The results showed high accuracies ranging from 74-98% and processing speed below 40 ms, indicating acceptable controller delay for robotic arm control. The combination of TKEO and ensemble (subspace KNN) was found to have the best performance in accuracy rates at 96.67, recall rates at 99.66, and precision rates at 96.99.
Article
Robotics
Pringgo Widyo Laksono, Kojiro Matsushita, Muhammad Syaiful Amri bin Suhaimi, Takahide Kitamura, Waweru Njeri, Joseph Muguro, Minoru Sasaki
Proceedings Paper
Computer Science, Interdisciplinary Applications
Satoshi Ito, Kosuke Niwa, Shoya Sugiura, Ryosuke Morita
2020 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII)
(2020)
Review
Engineering, Multidisciplinary
Joseph Kamau Muguro, Minoru Sasaki, Kojiro Matsushita, Waweru Njeri
COGENT ENGINEERING
(2020)
Article
Engineering, Mechanical
Titus Mulembo, Waweru Njeri, Gakuji Nagai, Hirohisa Tamagawa, Keishi Naito, Takahiro Nitta, Minoru Sasaki
Article
Automation & Control Systems
Ran Jiao, Wenjie Liu, Ramy Rashad, Jianfeng Li, Mingjie Dong, Stefano Stramigioli
Summary: A novel end-effector bilateral rehabilitation robotic system (EBReRS) is developed for upper limb rehabilitation of patients with hemiplegia, providing simulations of multiple bimanual coordinated training modes, showing potential for application in home rehabilitation.
Article
Automation & Control Systems
Qiaosheng Pan, Yifang Zhang, Xiaozhu Chen, Quan Wang, Qiangxian Huang
Summary: A resonant piezoelectric rotary motor using parallel moving gears mechanism has been proposed and tested, showing high power output and efficiency.