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Hybrid Mapping Method:from Human to Robotic Hands with Dissimilar Kinematics

Journal of Bionic Engineering 2022年第4期19卷 935-952页

作者： Bingchen Liu Li Jiang Shaowei Fan State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150080China

Mapping grasps from human to anthropomorphic robotic hands is an open issue in research,because the master hand and the slave hand have dissimilar *** paper proposes a hybrid mapping method to solve this *** the proposed method,fingers in the master and the slave hands are divided into vital and synergic fingers according to their contribution to the grasping *** tip of the vital finger of the master hand is first mapped to that of the slave hand while ensuring that both are in simultaneous contact with the object to be *** postural synergy theory,joints of the other synergic fingers of the slave hand are then used to generate an anthropomorphic grasping configuration according to the shape of the object to be *** this,a human-guided impedance controller is used to reduce the pre-grasping error and realize compliant interaction with the *** proposed hybrid mapping method can not only generate the posture of the humanoid envelope but can also carry out impedance-adaptive *** was evaluated using simulations and an experiment involving an anthropomorphic robotic slave hand.

关键词： Robotic hand Human-in-the-loop Grasping Postural synergy Impedance control

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A Hierarchical Control Scheme for Active Power-assist Lower-limb Exoskeletons

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Journal of Bionic Engineering 2024年第5期21卷 2184-2198页

作者： Jing Deng Wenzheng Jiang Haibo Gao Yapeng Shi Mantian Li State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin150001HeilongjiangChina Shenzhen Academy of Aerospace Technology Shenzhen518063China Faculty of Computing Harbin Institute of TechnologyHarbin150001HeilongjiangChina Institute of Intelligent Manufacturing Technology Shenzhen Polytechnic UniversityShenzhen518055China

Effectively controlling active power-assist lower-limb exoskeletons in a human-in-the-loop manner poses a substantial chal-lenge,demanding an approach that ensures wearer autonomy while seamlessly adapting to diverse wearer *** paper introduces a novel hierarchical control scheme comprising five integral components:intention recognition layer,dynamics feedforward layer,force distribution layer,feedback compensation layer,as well as sensors and *** intention rec-ognition layer predicts the wearer's movement and enables wearer-dominant movement through integrated force and position *** force distribution layer effectively resolves the statically indeterminate problem in the context of double-foot support,showcasing flexible control *** dynamics feedforward layer mitigates the effect of the exoskeleton itself on ***,the feedback compensation layer provides reliable closed-loop *** approach mitigates abrupt changes in joint torques during frequent transitions between swing and stance phases by decomposed *** this innovative hierarchical control scheme on a hydraulic exoskeleton platform through a series of experiments,the results demonstrate its capability to deliver assistance in various modes such as stepping,squatting,and jumping while adapting seamlessly to different terrains.

关键词： Hierarchical control Active power-assist Exoskeleton robots Dynamics feedforward Force distribution Feedback compensation

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Leader-follower:Human-centered intention-guided controller for novel SuperLimb with application to load-carrying scenarios

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Science China(Technological Sciences) 2025年第1期68卷 321-334页

作者： Qinghua ZHANG Xianglong LI Hongwei JING Kerui SUN Yuancheng LI Sikai ZHAO Lele LI Haotian JU Ziqi WANG Rui WU Tianjiao ZHENG Jie ZHAO Yanhe ZHU The State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China The Learning Algorithms and Systems Laboratory School of EngineeringÉcole Polytechnique Fédérale de LausanneLausanne CH 101510587Switzerland

Supernumerary robotic arms(SuperLimb)are a new type of wearable robot that works closely with humans as a third hand to augment human operation *** conveyance of wearers'intentions,allocation of roles,and humancentered interaction considerations are the key points in the process of human-SuperLimb *** paper proposes a human-centered intention-guided leader-follower controller that relies on the dynamic modeling of SuperLimb with application to load-carrying *** proposed leader-follower controller takes the human as the leader and the SuperLimb as the follower,achieving effective information communication,autonomous coordination,and good force compliance between SuperLimb,humans,and the environment under human safety ***,the human-SuperLimb dynamic system is modeled to achieve force interaction with the environment and ***,to achieve the precise intention extraction of humans,pose data from five visual odometry sensors are fused to capture the human state,the generalized position,the velocity of hands,and the surface electromyography signals from two myoelectric bracelets sensors are processed to recognize the natural hand gestures during load-carrying scenarios by a designed Swin transformer ***,based on the real-time distance detection between human and mechanical limbs,the security assurance and force-compliant interaction of the human-SuperLimb system are ***,the human hand muscle intention recognition,human-robot safety strategy verification,and comparative load-carrying experiments with and without the proposed method are conducted on the SuperLimb *** showed that the task parameters are well estimated to produce more reasonable planning trajectories,and SuperLimb could well understand the wearer's intentions to switch different SuperLimb *** proposed sensor-based human-robot communication framework motivates future studies of other collaboration scenes fo

关键词： SuperLimb leader-follower human intention estimation human-robot safety human-robot communication

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Task-oriented Hierarchical Control of Modular Soft Robots with External Vision Guidance

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Journal of Bionic Engineering 2022年第3期19卷 657-667页

作者： Xin Sui Tianjiao Zheng Jian Qi Zhiyuan Yang Ning Zhao Jie Zhao Hegao Cai Yanhe Zhu State Key Laboratory of Robotics and System Harbin Institute of Technology(HIT)Harbin150001China

General,high-precision theoretical modeling method is not well developed in the field of soft robotics,which holds back motion control and practical application of soft *** concept of modularization brings novel structure,novel locomotion patterns as well as novel control method for soft *** paper presents the concept of hierarchical control method for modular soft robot system and a H-configuration pneumatic modular soft robot is designed as the control *** H-configuration modular soft robot is composed of two basic motion units that take worm-like locomotion *** locomotion principle of the basic motion unit is analyzed and the actuation sequence is optimized by evolution strategy in VOXCAD simulation *** differential drive method is applied to the H-configuration modular soft robot with multi motion modes and vision sensor is used to control the motion mode of the *** H-configuration modular soft robot and the basic motion unit are assembled by a cubic soft module made of silicone ***,connection mechanism is designed to ensure that the soft modules can be assembled in any direction and *** are conducted to verify the effect of the hierarchical control method of the modular soft robots.

关键词： Soft robot Modular robot Locomotion pattern optimization VOXCAD simulation software Vision feedback control

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A Simple Control Scheme with Model Predictive Control-Based Footstep Planner and Virtual Model Control for Planar Biped Robot 16th

A Simple Control Scheme with Model Predictive Control-Based ...

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16th International Conference on Modelling, Identification and Control, ICMIC 2024

作者： Heng, Shuai Song, Chao Chen, Boyang Zhang, Yue Zang, Xizhe Zhao, Jie State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150080 China

ISBN: (纸本)9789819617760

In this paper, our objective is to achieve stable walking for biped robots using a simple yet powerful control scheme. This control scheme consists of a planning and control framework. For the motion planner, we utilize the Linear Inverted Pendulum Model as the equations of motion for the biped. Model Predictive Control is applied to plan the Zero Moment Point (ZMP) for future steps. Trajectories for the swing foot and base are generated based on the planned ZMP. Subsequently, a straightforward and intuitive control method called Virtual Model Control is employed to calculate control torques for tracking the generated trajectories. Finally, simulations conducted on flat-foot bipedal robots in MuJoCo validate the effectiveness of the proposed control scheme in achieving stable walking and attaining the desired locomotion velocity. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Predictive control systems

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A Novel FBG Shape Sensor Based on Mechanical Model for Continuum Manipulator 10

A Novel FBG Shape Sensor Based on Mechanical Model for Conti...

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10th International Conference on Automation, robotics, and Applications, ICARA 2024

作者： Zhang, Yuxin Dong, Wei Yan, Zhiyuan Gao, Yongzhuo Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China

ISBN: (纸本)9798350394245

Fiber Bragg Gratings (FBG) are used widely for that it is small and sensitive. It is suitable to insert a sensor based on FBGs to some narrow cavities. At the same time, a slender continuum structure requires tiny sensors inside it. A multi-node differential curvature measurement sensor of FBG fiber is designed in this paper to realize temperature compensation. Considering the friction among FBG, driving wires, and niti tube and external forces applied on the end, a mechanical model about the FBG sensor and the continuum manipulator is proposed. At last, a linear interpolation method is used in the curvature estimation. Under the condition that there is no end resistance and only the bending moment and friction along the outer surface of the continuum generated by the steel wire driven by the motor the absolute measurement error of the position of the end of the continuum is 1.9mm. © 2024 IEEE.

关键词： Fiber Bragg gratings

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China's space robotics for on-orbit servicing: the state of the art

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National Science Review 2023年第5期10卷 8-9页

作者： XueAi Li Dapeng Yang Hong Liu State Key Laboratory of Robotics and Systems Harbin Institute of Technology

Since the pioneering deployment of Canadarm in 1981,various on-orbit servicing (OOS) concepts have been flourishing and are continuously demonstrated by space agencies worldwide[1].This novel access to extend human curiosity in space is empowered by the remarkable OOS progress achieved by missions like the Robot technology Experiment (ROTEX),Engineering Test Satellite-Ⅶ(ETS-Ⅶ),

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Research progress of space non-pyrotechnic low-shock connection and separation technology(SNLT):A review

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Chinese Journal of Aeronautics 2022年第11期35卷 113-154页

作者： Honghao YUE Yifei YANG Yifan LU Fei YANG Jun WU Qi RUAN Zongquan DENG State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 15000lChina

Space missions have become diversified in recent years, where connection and separation devices play a crucial role as key components of various spacecraft. Traditional pyrotechnic devices have the advantages of large carrying capacity, rapid motion and functional reliability. However,their shortcomings such as great release shock, poor safety, unrepeatability and other prominent defects make them unsuitable for new generation spacecraft such as microsatellites to separate at low shock or lock repeatedly, etc. Therefore, it is necessary to develop space non-pyrotechnic low-shock connection and separation devices(SNLD) which are required for advanced aerospace missions. In this paper, the progress of the research on space non-pyrotechnic low-shock connection and separation technology(SNLT) is summarized and reviewed. Proceed from the principle of reducing shock for non-pyrotechnic devices, present studies are classified from the perspective of actuating technology and systematic designing methods. For non-pyrotechnic actuating techniques,according to different driving sources, the separation devices are classified into several main categories: electric, magnetic, gas and thermal actuating devices. The actuation principle and application prospect of separation techniques are introduced and the working process, dimension and mechanical properties of typical devices are compared and evaluated. For the systematic designing method, the common mechanism types of SNLDs are summarized according to the designing concept of reducing shock. Then connection configurations are classified according to the structural forms of connection devices, of which the principles, bearing capacities and general applications are discussed. This paper systematically summarizes the key problems, puts forward the future development trend of SNLT, and points out the breakthrough direction for related scholars.

关键词： Connection Low-shock Non-pyrotechnic Separation Space

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Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particle swarm optimization

引用

Frontiers of Mechanical Engineering 2022年第1期17卷 18-33页

作者： Jiawen YAN Bo PAN Yili FU State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China

Applying a robot system in ultrasound-guided percutaneous intervention is an effective approach for prostate cancer diagnosis and *** limited space for robot manipulation restricts structure volume and *** this paper,an 8-degree-of-freedom robot system is proposed for ultrasound probe manipulation,needle positioning,and needle insertion.A novel parallel structure is employed in the robot system for space saving,structural rigidity,and collision *** particle swarm optimization method based on informative value is proposed for kinematic parameter identification to calibrate the parallel structure *** method identifies parameters in the modified kinematic model stepwise according to parameter *** experiments prove that the robot system can realize motions needed in *** applying the calibration method,a reasonable,reliable forward kinematic model is built,and the average errors can be limited to 0.963 and 1.846 mm for insertion point and target point,respectively.

关键词： ultrasound image guidance prostate percutaneous intervention parallel robot kinematics identification particle swarm optimization informative value

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Reinforcement Learning Navigation for Robots Based on Hippocampus Episode Cognition

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Journal of Bionic Engineering 2024年第1期21卷 288-302页

作者： Jinsheng Yuan Wei Guo Zhiyuan Hou Fusheng Zha Mantian Li Pengfei Wang Lining Sun State Key Laboratory of Robotics and System Harbin Institute of Technology(HIT)Harbin 150001China Shenzhen Academy of Aerospace Technology Shenzhen 518057China School of Mechanical and Electrical Engineering Lanzhou University of TechnologyLanzhou 730050China

Artificial intelligence is currently achieving impressive success in all ***,autonomous navigation remains a major challenge for *** learning is used for target navigation to simulate the interaction between the brain and the environment at the behavioral level,but the Artificial Neural Network trained by reinforcement learning cannot match the autonomous mobility of humans and *** hippocampus–striatum circuits are considered as key circuits for target navigation planning and *** paper aims to construct a bionic navigation model of reinforcement learning corresponding to the nervous system to improve the autonomous navigation performance of the *** ventral striatum is considered to be the behavioral evaluation region,and the hippocampal–striatum circuit constitutes the position–reward *** this paper,a set of episode cognition and reinforcement learning system simulating the mechanism of hippocampus and ventral striatum is constructed,which is used to provide target guidance for the robot to perform autonomous *** with traditional methods,this system reflects the high efficiency of learning and better Environmental *** research is an exploration of the intersection and fusion of artificial intelligence and neuroscience,which is conducive to the development of artificial intelligence and the understanding of the nervous system.

关键词： Episode cognition Reinforcement learning Hippocampus Robot navigation

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