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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： V. Noll J. Wojtusch J. Schuy M. Grimmer P. Beckerle S. Rinderknecht the Institute for Mechatronic Systems in Mechanical Engineering Department of Mechnical Engineering TU Darmstadt Germany the Simulation Systems Optimization and Robotics Group Department of Computer Science TU Darmstadt Germany the Locomotion Laboratory Institute of Sport Science TU Darmstadt Germany

ISBN: (纸本)9781424492695

This paper introduces a novel measuring approach for detecting relative movement between stump and socket in lower limb prostheses. The application of the motion capturing based measuring approach is shown at a single male trans-tibial amputee using a Patella Tendon Bearing (PTB) socket. It further investigates and assesses the feasibility of measuring the relative movement between stump and socket during level walking at different velocities and allocating it to the coinciding loads. Representative results for the two translational degrees of freedom in the sagittal plane are presented and discussed. For the proximodistal (pd) direction, a linear correlation between applied load and relative movement is found, while for the anteroposterior (ap) direction the stump movement is largely influenced by the motion sequence during the respective gait event. Additionally, the effect of walking speed is discussed.

关键词： Biomechanical Interactions Stump-Socket Interface Lower Limb Prostheses

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A distributed formation-based odor source localization algorithm - design, implementation, and wind tunnel evaluation

A distributed formation-based odor source localization algor...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Jorge M. Soares A. Pedro Aguiar António M. Pascoal Alcherio Martinoli Laboratory of Robotics and Systems in Engineering and Science University of Lisbon Lisboa Portugal Distributed Intelligent Systems and Algorithms Laboratory Ecole Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland Faculty of Engineering University of Porto Research Center for Systems and Technology Porto Portugal

ISBN: (纸本)9781479969241

Robotic odor source localization is a promising tool with numerous applications in safety, search and rescue, and environmental science. In this paper, we present an algorithm for odor source localization using multiple cooperating robots equipped with chemical sensors. Laplacian feedback is employed to maintain the robots in a formation, introducing spatial diversity that is used to better establish the position of the flock relative to the plume and its source. Robots primarily move upwind but use odor information to adjust their position and spacing so that they are centered on the plume and trace its structure. Real-world experiments were performed with an ethanol plume inside a wind tunnel, and used to both validate the algorithm and assess the impact of different formation shapes.

关键词： Robot sensing systems Robot kinematics Algorithm design and analysis Shape Hardware

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Optimization of Simulation Parameters of Input Shaper Based on Genetic Algorithm 2

Optimization of Simulation Parameters of Input Shaper Based ...

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2nd IEEE International Conference on Advanced Technologies in Intelligent Control, Environment, Computing and Communication engineering, ICATIECE 2022

作者： Yi, Tao Pei, Quanshen Li, Deying Wei, Shugong Jia, Danping Zhang, Hualiang Hunan University of Information Changsha China School of Information Science and Engineering Shenyang University of Technology Shenyang China College of Physics and Electronic Engineering Guangxi Normal University for Nationalities Chongzuo China Chinese Academy of Sciences Shenyang Institute of Automation Key Laboratory of Networked Control Systems Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China

ISBN: (纸本)9781665493963

In the motion control system, input shaper is often used to suppress the residual oscillation of high-precision positioning system, but the selection of input shaper parameters is difficult. In view of the difficulty of selecting input shaper parameters, this paper proposes to use genetic algorithm to select the parameters of input shaper. Firstly, the input shaper is designed in the light of the three-loop mathematical model of motor;Secondly, because the genetic algorithm directly optimizes the output of the motor and the algorithm can reduce the influence of the deviation of generator parameters on the parameter selection of the input shaper to a certain extent, the parameters of the input shaper are selected by the genetic algorithm to optimize the output of the motor;In the finish, a comparative experiment between a system with input shaper and a system with simple PID control is carried out. The results show that the optimized system can obtain higher robustness and smaller tracking deviation. © 2022 IEEE.

关键词： Genetic algorithms

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Efficiency Assessment of Performance of Decentralized Autonomous Multi-Robot systems

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Journal of robotics and Mechatronics 1996年第3期8卷 286-291页

作者： Agah, Arvin Bekey, George A. Research Scientist Fellow Bio-Robotics Division Mechanical Engineering Laboratory 1-2 Namiki Tsukuba305 Japan Institute for Robotics and Intelligent Systems Computer Science Department University of Southern California Los AngelesCA90089 United States Robotics Research Laboratory University of Southern California Los AngelesCA90089 United States

This paper presents a new methodology for the efficiency assessment of task performance of decentralized autonomous multi-robot system. This formulation considers the types of the robots (in terms of sensing, action, and control), the description of the environment (the world), the facts (rules) of the world, and the specifications of the tasks to be performed. The performance efficiency is defined in terms of the total time required for completing the task, total energy requirement, and the comparison of the final results and the desired results. A robot colony simulator was used to perform a number of experiments, measuring the task performance efficiency, of a colony of simulated robots which perform specific tasks in a virtual world. The experimental results are presented in this paper. This paper also describes a team of four robots designed and fabricated in hardware. The physical robots were used successfully to validate the results from the simulated colony. © 1996, Fuji Technology Press. All rights reserved.

关键词： Multi agent systems

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SWhegPro3: A Three-Impeller Wheel-Leg Transformable Robot with Variable Robust Adaptability to Stair Dimensions

SWhegPro3: A Three-Impeller Wheel-Leg Transformable Robot wi...

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IEEE International Conference on robotics and Biomimetics

作者： Haoran Wang Siyuan Wang Cunxi Dai Zhenzhong Jia Department of Mechanical and Energy Engineering Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Southern University of Science and Technology (SUSTech) Shenzhen China Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities SUSTech Shenzhen China

This paper reports the design innovation and implementation of a novel wheel-leg transformable robot named SWhegPro3. The robot uses a three-impeller design to significantly improve the overall stair-climbing performance. Unlike other impeller-based designs that use gear sets to unfold the impellers, this robot uses self-locking electric push rods for mode switching, thereby greatly improving its load capacity. We also analyze the stair climbing operation and derive a model to calculate the optimal configuration of the wheel-leg module and the corresponding displacement of the push rod, in order to better adapt to different sized stairs. We conduct both simulation and field experiments to validate our proposed design and control strategy.

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Utilization of torque wheels for active damping of flexible manipulators

Utilization of torque wheels for active damping of flexible ...

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IEEE International Conference on robotics and Automation (ICRA)

作者： F. Khorrami A.A. Gomez M.D. Hills Polytechnic University School of Electrical Engineering 4 Computer Science Control/Robotics Research Laboratory Brooklyn NY USA Bernoulli Optical Systems Company Danbury CT USA Control/Robotics Research Laboratory (CRRL) School of Electrical Engineering 4 Computer Science University of California Brooklyn NY USA

Utilization of inertial actuators, such as torque wheels, for vibration damping of a single-link flexible manipulator is considered. The torque wheel is mounted at the end effector of the manipulator to provide a bending moment at the tip for vibration suppression and pointing purposes. The torque exerted by the torque wheel at the end-effector of the manipulator is achieved through controlling the velocity of the torque wheel. A decentralized control scheme is advocated in this paper for slewing and vibration suppression. The local loop around the torque wheel is closed through feedback of the accelerometer signal at the tip. Experimental results are provided to show the effectiveness of the proposed method for end-effector positioning of flexible-link manipulators. Although the experimental results reported are for a single-link flexible manipulator, the results are applicable to the multi-link case. It may be shown that the dynamics from the voltage input to the torque wheel mounted at the tip to the tip position is minimum phase and hence invertible given that an inner-loop controller has been applied to stabilize the rigid-body motion.< >

关键词： Wheels Damping Torque control Manipulator dynamics Actuators End effectors Velocity control Distributed control Vibration control Feedback loop

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Computationally effective stereovision SLAM

Computationally effective stereovision SLAM

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IEEE International Workshop on Imaging systems and Techniques (IST)

作者： Lazaros Nalpantidis Georgios Ch. Sirakoulis Andrea Carbone Antonios Gasteratos Laboratory of Robotics and Automation Department of Production and Management Engineering Democritus University of Thrace Xanthi Greece Laboratory of Electronics Department of Electrical and Computer Engineering Democritus University of Thrace Xanthi Greece Autoagent Laboratory of Cognitive Robotics Department of Computer and Systems Science University of Roma La Sapienza Rome Italy

In this paper a visual Simultaneous Localization and Mapping (SLAM) algorithm suitable for indoor area measurement applications is proposed. The algorithm is focused on computational effectiveness. The only sensor used is a stereo camera placed onboard a moving robot. The algorithm processes the acquired images calculating the depth of the scenery, detecting occupied areas and progressively building a map of the environment. The stereo vision-based SLAM algorithm embodies a custom-tailored stereo correspondence algorithm, the robust scale and rotation invariant feature detection and matching Speeded Up Robust Features (SURF) method, a computationally effective v-disparity image calculation scheme, a novel map-merging module, as well as a sophisticated Cellular Automata (CA)-based enhancement stage. The proposed algorithm is suitable for autonomously mapping and measuring indoor areas using robots. The algorithm is presented and experimental results for self-captured image sets are provided and analyzed.

关键词： Simultaneous localization and mapping Area measurement Robustness Computer vision Robot vision systems Cameras Robot sensing systems robotics and automation Image analysis Algorithm design and analysis

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SWhegPro: A Novel Robust Wheel-Leg Transformable Robot

SWhegPro: A Novel Robust Wheel-Leg Transformable Robot

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IEEE International Conference on robotics and Biomimetics

作者： Cunxi Dai Xiaohan Liu Jianxiang Zhou Zhengtao Liu Zheng Zhu Zhenzhong Jia Department of Mechanical and Energy Engineering The Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Southern University of Science and Technology (SUSTech) Shenzhen China Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities SUSTech Shenzhen China

ISBN: (纸本)9781665481106

This paper reports the design, implementation, and performance evaluation of SWhegPro, a swift and robust wheel-leg transformable robot that can operate under heavy payload. SWhegPro can shift wheel morphology between the wheel, e-shape leg, and S-shape leg, the corresponding gaits were developed and compared in simulation. The wheel/leg operation is driven by the same motor, so the actuation system and power can be utilized efficiently. Different from its predecessor which uses tendon-driven transformation mechanisms, SWhegPro utilizes self-locking electric push rods as transformation actuators. This makes it possible for SWhegPro to operate under heavy loads and is easier to repair. The robot was empirically built, and the design process, mechatronics infrastructure, and gait behavioral development were discussed. The performance of the robot was evaluated in various sce-narios, including driving and turning in wheeled mode, step crossing, and irregular terrain passing in legged mode.

关键词： Legged locomotion Performance evaluation Mechatronics Biomimetics Wheels Morphology Maintenance engineering

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Fast Hip Joint Moment Estimation with A General Moment Feature Generation Method

arXiv

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arXiv 2024年

作者： Zhang, Yuanwen Xiong, Jingfeng Xian, Haolan Chen, Chuheng Chen, Xinxing Fu, Chenglong Leng, Yuquan The Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities Southern University of Science and Technology Shenzhen518055 China The Department of Mechanical and Energy Engineering Southern University of Science and Technology Shenzhen518055 China

The hip joint moment during walking is a crucial basis for hip exoskeleton control. Compared to generating assistive torque profiles based on gait estimation, estimating hip joint moment directly using hip joint angles offers advantages such as simplified sensing and adaptability to variable walking speeds. Existing methods that directly estimate moment from hip joint angles are mainly used for offline biomechanical estimation. However, they suffer from long computation time and lack of personalization, rendering them unsuitable for personalized control of hip exoskeletons. To address these challenges, this paper proposes a fast hip joint moment estimation method based on generalized moment features (GMF). The method first employs a GMF generator to learn a feature representation of joint moment, namely the proposed GMF, which is independent of individual differences. Subsequently, a GRU-based neural network with fast computational performance is trained to learn the mapping from the joint kinematics to the GMF. Finally, the predicted GMF is decoded into the joint moment with a GMF decoder. The joint estimation model is trained and tested on a dataset comprising 20 subjects under 28 walking speed conditions. Results show that the proposed method achieves a root mean square error of 0.1180 ± 0.0021 Nm/kg for subjects in test dataset, and the computation time per estimation using the employed GRU-based estimator is 1.3420 ± 0.0031 ms, significantly faster than mainstream neural network architectures, while maintaining comparable network accuracy. These promising results demonstrate that the proposed method enhances the accuracy and computational speed of joint moment estimation neural networks, with potential for guiding exoskeleton control. Copyright © 2024, The Authors. All rights reserved.

关键词： Exoskeleton (robotics)

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Continuity Scaling: A Rigorous Framework for Detecting and Quantifying Causality Accurately

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Research 2022年第4期2022卷 137-146页

作者： Xiong Ying Si-Yang Leng Huan-Fei MaD Qing Nie Ying-Cheng Lai Wei Lin School of Mathematical Sciences SCMSand SCAMFudan UniversityShanghai 200433China Research Institute for Inteligent Complex Systems CCSBand LCNBIFudan UniversityShanghai 200433China State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science Institutes of Brain ScienceFudan UniversityShanghai 200032China Institute of AI and Robotics Academy for Engineering and TechnologyFudan UniversityShanghai 200433China School of Mathematical Sciences Soochow UniversitySuzhou 215006China Department of Mathematics Department of Developmental and Cll BiologyAnd NSF-Simons Center for Multiscale Cell Fate ResearchUniversity of CaliforniaIrvineCA 92697-3875USA School of Electrical ComputerAnd Energy EngineeringArizona State UniversityTempeArizona 85287-5706USA Shanghai Artificial Intelligence Laboratory Shanghai 200232China

Data-based detection and quantification of causation in complex,nonlinear dynamical systems is of paramount importance to science,engineering,and *** by the widely used methodology in recent years,the cross-map-based techniques,we develop a general framework to advance towards a comprehensive understanding of dynamical causal mechanisms,which is consistent with the natural interpretation of *** particular,instead of measuring the smoothness of the cross-map as conventionally implemented,we define causation through measuring the scaling law for the continuity of the investigated dynamical system *** uncovered scaling law enables accurate,reliable,and eficient detection of causation and assessment of its strength in general complex dynamical systems,outperforming those existing representative *** continuity scaling-based framework is rigorously established and demonstrated using datasets from model complex systems and the real world.

关键词： dynamical scaling continuity

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