Updated on 2026/10/03

写真a

 
TAJIMA SHINGO
 
Organization
Undergraduate School School of Science and Technology Senior Assistant Professor
Title
Senior Assistant Professor
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Research Interests

  • 機械システムの性能を最大限に活用する軌跡生成法

  • 運動制御

  • 軌跡生成

  • ロボット加工

  • 工作機械

  • 産業用ロボット

Research Areas

  • Manufacturing technology (mechanical,electrical/electronic, chemical engineering) / Manufacturing and production engineering  / 加工学および生産工学関連

  • Informatics / Robotics and intelligent systems

Education

  • Oregon State University   College of Engineering   Collaborative Robotics and Intelligent Systems Institute

    2014.9 - 2019.6

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    Country/Region: United States

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  • Nagoya University   Graduate School, Division of Engineering

    2007.4 - 2009.3

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    Country/Region: Japan

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  • Gifu University   Faculty of Engineering

    2005.4 - 2007.3

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    Country/Region: Japan

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  • Gifu National College of Technology

    2000.4 - 2005.3

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    Country/Region: Japan

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Research History

  • Meiji University   Lecturer

    2024.4

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    Country/Region:Japan

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  • Tokyo Institute of Technology   Assistant Professor

    2019.7 - 2024.3

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    Country/Region:Japan

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  • Nagoya University   Research Engineer

    2012.9 - 2014.8

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    Country/Region:Japan

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  • 株式会社ルネサスデザイン

    2009.4 - 2012.4

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    Country/Region:Japan

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Professional Memberships

Committee Memberships

  • 精密工学会   校閲委員会委員  

    2022.4 - 2026.3   

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    Committee type:Academic society

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  • 日本機械学会   RC295研究分科会  

    2022.4 - 2024.3   

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    Committee type:Academic society

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  • 精密工学会   2022年度精密工学会春季大会学術講演会 実行委員  

    2021.10 - 2022.3   

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    Committee type:Academic society

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  • 精密工学会   広報・情報部会委員  

    2020.4   

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    Committee type:Academic society

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  • 日本機械学会   RC288研究分科会  

    2020.4 - 2022.3   

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    Committee type:Academic society

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  • 精密工学会   総合生産システム専門委員会  

    2019.9   

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    Committee type:Academic society

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  • 日本機械学会   RC279研究分科会  

    2019.7 - 2020.3   

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    Committee type:Academic society

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Papers

  • Posture optimization for high-precision robot machining with linear-rotary stage Reviewed

    Ibuki Kanda, Shingo Tajima

    Precision Engineering   103   447 - 456   2027.1

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    Authorship:Corresponding author   Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.precisioneng.2026.08.028

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  • Velocity Profile Generation for Industrial Robots Considering Natural Frequency Variations Reviewed

    Shingo Tajima, Kazuya Miyashita, Hayato Yoshioka

    International Journal of Automation Technology   20 ( 2 )   175 - 184   2026.3

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    Authorship:Lead author, Corresponding author   Publishing type:Research paper (scientific journal)   Publisher:Fuji Technology Press Ltd.  

    Industrial robots are widely used to compensate for labor shortages and increase productivity. However, the natural frequency of a robot varies with its posture, making vibration suppression difficult. Residual vibration during operation increases the cycle time and reduces workpiece accuracy. Therefore, a velocity profile generation method that accounts for posture-dependent frequency variation is required to achieve high-precision robot machining. This study proposes a novel velocity profile generation method to suppress vibration in industrial robots with posture-dependent natural frequency variations. First, finite impulse response filtering and the jerk limited acceleration profile were applied to generate velocity profiles that remove different frequency components during the acceleration and deceleration phases. Next, two methods were developed for determining the suppressed frequencies: (1) filtering the natural frequencies at the start and end of the motion and (2) eliminating the frequency that minimizes the amplitude integral of the acceleration. The simulation results confirmed that the proposed trajectory generation method can reduce vibration, compared with the conventional filtering method, for both suppressed frequency-determination methods. The optimal velocity profile was achieved by filtering the frequency that minimizes the amplitude integral of the acceleration during the acceleration phase and the natural frequency at the end of the motion during the deceleration phase. The proposed method provides a practical solution for improving the dynamic performance of industrial robots by effectively suppressing vibration while maintaining motion efficiency.

    DOI: 10.20965/ijat.2026.p0175

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  • Pre-compensation of machining part programs for high-accuracy trajectory generation Reviewed

    Shih-Hsuan Chien, Shingo Tajima, David Wilkinson, Burak Sencer

    CIRP Annals   75 ( 1 )   525 - 529   2026

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    Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.cirp.2026.04.019

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  • Improvement of accuracy for cutting force monitoring with estimated static displacement of tool spindle Reviewed

    Junichi KOUGUCHI, Shingo TAJIMA, Hayato YOSHIOKA

    Transactions of the JSME (in Japanese)   91 ( 942 )   24-00199   2025

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    Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Mechanical Engineers  

    DOI: 10.1299/transjsme.24-00199

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  • Machine-Learning-Based Model Parameter Identification for Cutting Force Estimation Reviewed

    Junichi Kouguchi, Shingo Tajima, Hayato Yoshioka

    International Journal of Automation Technology   18 ( 1 )   26 - 38   2024.1

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Fuji Technology Press Ltd.  

    Recently, there has been an increased demand for precise monitoring of the milling process using machine tools through a simple and cost-effective method. Accurate estimation of cutting forces is highly effective for this monitoring, and one approach is the modeling of tool spindles and tables of a machine tool. To model machine structures, well-known methods involving the use of impulse hammer response or structural analysis exist. However, the complex modeling is hard to achieve when using the impulse response. Moreover, it is often considerably difficult to achieve the modeling with structural analysis because the preparation of the accurate model and highly complicated calculations are required. Therefore, in this study, we propose a new monitoring method to identify model parameters of the machine structure and estimate cutting forces. First, a simplified assumed structure is prepared based on locations where sensors can be mounted. Next, measurement data during actual milling process are collected through the acceleration sensors mounted on the tool spindle and the dynamometer for the cutting force attached to the table. Subsequently, model parameters are identified from these data using machine learning. A 3-axis NC milling machine was used to evaluate the application range of the model parameters by changing cutting conditions, milling direction, cutting tools, and materials. The model parameters identified using the proposed method were equivalent to those using the impulse response. Furthermore, even in cases where the impulse response was difficult to identify, suitable model parameters were identified using machine learning. Finally, we confirmed that the proposed method can accurately achieve in-process monitoring of cutting forces in the X, Y, and Z directions.

    DOI: 10.20965/ijat.2024.p0026

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  • Practical approach to flexible job shop scheduling with tool switching constraints using quantum annealing Reviewed

    Shinichi INOUE, Tong QIN, Sho FUJITA, Shingo TAJIMA, Hayato YOSHIOKA

    Journal of Advanced Mechanical Design, Systems, and Manufacturing   18 ( 2 )   JAMDSM0009 - JAMDSM0009   2024

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    Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Mechanical Engineers  

    DOI: 10.1299/jamdsm.2024jamdsm0009

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  • Posture Optimization in Robot Machining with Kinematic Redundancy for High-Precision Positioning Reviewed

    Shingo Tajima, Satoshi Iwamoto, Hayato Yoshioka

    International Journal of Automation Technology   17 ( 5 )   494 - 503   2023.9

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Fuji Technology Press Ltd.  

    Vertically articulated industrial robots are suitable for machining purposes owing to their advantages over multi-axis machine tools, such as larger workspace, easier installation, and lower cost. However, the rigidity and positioning accuracy of industrial robots are inferior to those of machine tools, which renders it difficult to maintain the robot posture required for machining operations. This study focuses on improving the accuracy of robot machining based on posture optimization by exploiting the kinematic redundancy of a six-axis vertically articulated robot. To decrease positioning errors caused by static and dynamic external forces during machining, this study proposes a path generation method for a redundant joint that simultaneously considers the static and dynamic rigidity of the machining robot. The relationships between the static and dynamic mechanical characteristics of the machining robot and the redundant angle are illustrated using two maps: a static stiffness map and a natural frequency map. Using these two maps in the proposed path generation method, the redundant angle that can be selected for the robot posture with arbitrary mechanical characteristics is selected. Experimental results confirm that the proposed path generation method can control the priority of reducing static positioning error and vibration amplitude by changing the weight coefficients. In addition, the proposed method can improve positioning accuracy compared with conventional trajectory generation methods for redundant robots.

    DOI: 10.20965/ijat.2023.p0494

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  • Real-time trajectory generation for dual-stage feed drive systems Reviewed

    Shingo Tajima, Burak Sencer

    CIRP Annals   72 ( 1 )   317 - 320   2023

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    Authorship:Lead author   Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.cirp.2023.04.070

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  • Online interpolation of 5-axis machining toolpaths with global blending

    Shingo Tajima, Burak Sencer

    International Journal of Machine Tools and Manufacture   175   103862 - 103862   2022.4

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    Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.ijmachtools.2022.103862

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  • Kinematic Tool-Path Smoothing for 6-Axis Industrial Machining Robots

    Shingo Tajima, Satoshi Iwamoto, Hayato Yoshioka

    International Journal of Automation Technology   15 ( 5 )   621 - 630   2021.9

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    Publishing type:Research paper (scientific journal)   Publisher:Fuji Technology Press Ltd.  

    The demands for machining by industrial robots have been increasing owing to their low installation cost and high flexibility. A novel trajectory generation algorithm for high-speed and high-accuracy machining by industrial robots is proposed in this paper. Linear interpolation in the workspace and smooth trajectory generation at the corners are important in industrial machining robots. Because industrial robots are composed of rotational joints, the joint space has a nonlinear relationship with the workspace. Therefore, linear interpolation in the joint space, which has been widely used in conventional machine tools, does not guarantee linear interpolation in the actual machining workspace. This results in the degradation of the machining surface. The proposed trajectory generation algorithm based on the decoupled approach can achieve linear interpolation in the workspace by separating the position commands into Cartesian coordinates and the orientation commands into spherical coordinates. In addition, a novel corner smoothing method that generates a smooth and continuous trajectory from discrete commands is proposed in this paper. The proposed kinematic local corner smoothing generates a smooth trajectory by using a 3-segmented constant jerk profile at the corners in the joint space. The sharp corners can thereby be replaced by smooth curves. The resulting cornering error is controlled by varying the cornering duration. The simulation results demonstrate the effectiveness of the proposed kinematic smoothing algorithm in achieving linear tool motion in straight sections and in generating smooth trajectories at corner sections within the user-defined tolerance.

    DOI: 10.20965/ijat.2021.p0621

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  • Detection of P300 brain waves using a Magneto-Impedance sensor Reviewed International journal

    International Journal on Smart Sensing and Intelligent Systems   7 ( 5 )   1 - 4   2020.2

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Sciendo  

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  • Chamfering of ferrous materials with fiber laser

    Sho SAKATAYA, Hayato YOSHIOKA, Shingo TAJIMA, Hidenori SHINNO

    Transactions of the JSME (in Japanese)   86 ( 892 )   20-00207   2020

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    Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Mechanical Engineers  

    DOI: 10.1299/transjsme.20-00207

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  • Recognition of plating state and quantitative evaluation of the processed surface using hyperspectral data Reviewed

    Arisa TORII, Hayato YOSHIOKA, Shingo TAJIMA, Hidenori SHINNO

    Transactions of the JSME (in Japanese)   86 ( 892 )   20-00232   2020

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    Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Mechanical Engineers  

    DOI: 10.1299/transjsme.20-00232

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  • Real-time trajectory generation for 5-axis machine tools with singularity avoidance Reviewed

    Shingo Tajima, Burak Sencer

    CIRP Annals   69 ( 1 )   349 - 352   2020

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.cirp.2020.04.050

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  • Accurate real-time interpolation of 5-axis tool-paths with local corner smoothing Reviewed

    Shingo Tajima, Burak Sencer

    International Journal of Machine Tools and Manufacture   142   1 - 15   2019.7

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    Authorship:Lead author   Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.ijmachtools.2019.04.005

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  • Accurate interpolation of machining tool-paths based on FIR filtering Reviewed

    Shingo Tajima, Burak Sencer, Eiji Shamoto

    Precision Engineering   52   332 - 344   2018.4

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    Authorship:Lead author   Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.precisioneng.2018.01.016

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  • Global tool-path smoothing for CNC machine tools with uninterrupted acceleration Reviewed

    Shingo Tajima, Burak Sencer

    International Journal of Machine Tools and Manufacture   121   81 - 95   2017.10

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    Authorship:Lead author   Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.ijmachtools.2017.03.002

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  • Kinematic corner smoothing for high speed machine tools Reviewed

    Shingo Tajima, Burak Sencer

    International Journal of Machine Tools and Manufacture   108   27 - 43   2016.9

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    Authorship:Lead author   Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.ijmachtools.2016.05.009

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  • Frequency Optimal Feed Motion Planning in Computer Numerical Controlled Machine Tools for Vibration Avoidance Reviewed

    Burak Sencer, Shingo Tajima

    Journal of Manufacturing Science and Engineering   139 ( 1 )   2016.8

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    Publishing type:Research paper (scientific journal)   Publisher:ASME International  

    This paper presents a novel trajectory generation technique, which has the capability to avoid excitation of inertial vibrations in precision manufacturing equipment. A major source of vibrations in fast moving precision manufacturing equipment is the inertial vibrations that are excited due to frequency content of reference motion commands (trajectory). In general practice, those inertial vibrations are avoided within the controller architecture through notch filtering. Or, input-shaping methods are utilized to attenuate critical frequency components of the reference trajectory so that lightly damped vibration modes of the structure are not excited. Instead of employing those postfiltering techniques that add unwanted delay to the coordinated motion, this paper introduces a direct trajectory generation technique with a shaped frequency content to suppress inertial vibrations. The time-stamped acceleration profile of the feed profile is defined as a ninth-order polynomial. Polynomial coefficients are solved through an optimization procedure where the objective function penalizes total frequency energy in a desired frequency band. As a result, generated reference acceleration commands do not contain any excitation near the vibration modes of the system and hence excitation of inertial vibrations is avoided. The proposed frequency optimal feed profiling (FOFP) system can be utilized to generate high-speed accurate point-to-point (P2P) trajectories as well as to interpolate continuous multi-axis coordinated motion. Effectiveness of the proposed FOFP scheme is evaluated through rigorous comparison against the well-known minimum jerk feed profiles (MJFP) technique through simulations and experiments. Experimental validation is performed on an in-house controlled machine tool with flexible structure.

    DOI: 10.1115/1.4034140

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  • Magneto-Impedance Sensor Based on Time Analog to Digital Converter (TAD) for Circuit Integration Reviewed

    Shingo Tajima, Peng Wu, Yukihiro Okuda, Takatomo Watanabe, Tsuyoshi Uchiyama

    IEEE Transactions on Magnetics   51 ( 11 )   1 - 4   2015.11

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    Authorship:Lead author   Publishing type:Research paper (scientific journal)   Publisher:Institute of Electrical and Electronics Engineers (IEEE)  

    DOI: 10.1109/tmag.2015.2449280

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  • Auditory evoked field measurement using magneto-impedance sensors Reviewed

    K. Wang, S. Tajima, D. Song, N. Hamada, C. Cai, T. Uchiyama

    Journal of Applied Physics   117 ( 17 )   2015.3

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    Publishing type:Research paper (scientific journal)   Publisher:AIP Publishing  

    The magnetic field of the human brain is extremely weak, and it is mostly measured and monitored in the magnetoencephalography method using superconducting quantum interference devices. In this study, in order to measure the weak magnetic field of the brain, we constructed a Magneto-Impedance sensor (MI sensor) system that can cancel out the background noise without any magnetic shield. Based on our previous studies of brain wave measurements, we used two MI sensors in this system for monitoring both cerebral hemispheres. In this study, we recorded and compared the auditory evoked field signals of the subject, including the N100 (or N1) and the P300 (or P3) brain waves. The results suggest that the MI sensor can be applied to brain activity measurement.

    DOI: 10.1063/1.4913939

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  • High-Resolution Magneto-Impedance Sensor With TAD for Low Noise Signal Processing Reviewed

    Shingo Tajima, Yukihiro Okuda, Takamoto Watanabe, Hitoshi Aoyama, Michiharu Yamamoto, Tsuyoshi Uchiyama

    IEEE Transactions on Magnetics   50 ( 11 )   1 - 4   2014.11

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    Authorship:Lead author, Corresponding author   Publishing type:Research paper (scientific journal)   Publisher:Institute of Electrical and Electronics Engineers (IEEE)  

    DOI: 10.1109/tmag.2014.2332178

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Presentations

  • アーム動作範囲を考慮した自立走行搬送ロボットの停止位置決定法

    2023年度精密工学会秋季大会学術講演会  2023.9 

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    Language:Japanese  

    Venue:福岡   Country/Region:Japan  

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  • 変位予測に基づく軌跡補正によるロボット切削加工の高精度化

    2023年度精密工学会秋季大会学術講演会  2023.9 

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    Language:Japanese  

    Venue:福岡   Country/Region:Japan  

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  • Displacement compensation of machining robot based on trajectory control for high accuracy International conference

    Leading Edge Manufacturing/Material and Processing  2023.6 

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    Language:Japanese  

    Venue:ニュージャージー   Country/Region:United States  

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  • Identification and grouping defects for complement in measuring of workpiece with 3D scanner International conference

    Leading Edge Manufacturing/Material and Processing  2023.6 

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    Language:Japanese  

    Venue:ニュージャージー   Country/Region:United States  

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  • Real-time interpolation of complex machining toolpaths with drive limits and vibration avoidance

    The 19th International Conference on Precision Engineering  2022.11 

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    Language:Japanese  

    Venue:奈良   Country/Region:Japan  

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  • Real-Time Command Generator for Dual-Stage Processing Machine

    The 37th Annual Meeting of the American Society for Precision Engineering  2022.10 

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    Language:Japanese  

    Venue:ワシントン   Country/Region:United States  

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  • Trajectory Generation for Dual-Drive Servo Systems for Laser Processing with Local Corner Smoothing

    2022 International Symposium on Flexible Automation  2022.7 

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    Language:Japanese  

    Venue:横浜   Country/Region:Japan  

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  • Fine pattern fabrication on a 3D surface using fast tool servo for milling process

    The 10th International Conference on Leading Edge Manufacturing in 21st Century  2021.11 

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    Language:Japanese  

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  • Tool path control for singularity avoidance of 5-axis machine tool by combining circular arc and cubit spline

    The 10th International Conference on Leading Edge Manufacturing in 21st Century  2021.11 

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    Language:Japanese  

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  • Kinematic smoothing for singularity avoidance in 5-axis machining

    18th International Conference on Precision Engineering  2020.11 

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    Language:Japanese  

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  • Smooth path blending for 5-axis machining

    JSME 2020 Conference on Leading Edge Manufacturing/Materials and Processing  2020.6 

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    Language:Japanese  

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  • Real‐time Interpolation of 5‐axis Tool‐paths with Accurate Local Corner Smoothing International conference

    8th International Conference on Virtual Machining  2019.4 

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    Language:Japanese  

    Venue:バンクーバー   Country/Region:Canada  

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Awards

  • Best Paper Award 2025

    2025.9   International Journal of Automation Technology   Machine-Learning-Based Model Parameter Identification for Cutting Force Estimation

    Junichi Kouguchi, Shingo Tajima, Hayato Yoshioka

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  • Best Paper Award

    2024.11   27th International Conference on Mechatronics Technology (ICMT2024)   Milling force estimation by combining servo information of feed axis and vibration behavior of tool spindle

    Junichi Kouguchi, Shingo Tajima, Hayato Yoshioka

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  • 論文表彰

    2020.5   公益財団法人マザック財団  

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    Award type:Award from publisher, newspaper, foundation, etc.  Country/Region:Japan

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  • Blackhall Machine Tool and Gage Award

    2019.6   American Society of Mechanical Engineers  

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    Country/Region:United States

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Research Projects

  • 不確かさ評価に基づく工作機械の画像計測・位置制御システム実現の方法論

    Grant number:25K01132  2025.4 - 2028.3

    日本学術振興会  科学研究費助成事業  基盤研究(B)

    河野 大輔, 田島 真吾

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    Grant amount:\18850000 ( Direct Cost: \14500000 、 Indirect Cost:\4350000 )

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  • インプロセス計測に基づくマルチロボット切削加工システムの高精度軌道制御

    Grant number:25K01140  2025.4 - 2028.3

    日本学術振興会  科学研究費助成事業  基盤研究(B)

    田島 真吾

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    Grant amount:\18850000 ( Direct Cost: \14500000 、 Indirect Cost:\4350000 )

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  • 多自由度システムを用いた切削加工支援による薄肉工作物の高精度加工

    Grant number:23K13229  2023.4 - 2026.3

    日本学術振興会  若手研究  若手研究

    田島 真吾

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    Authorship:Principal investigator 

    Grant amount:\4680000 ( Direct Cost: \3600000 、 Indirect Cost:\1080000 )

    本研究では,薄肉工作物の高精度切削加工に必要となる工作物の振動特性の最適化を目的として,産業用ロボットによる切削加工支援システムの構築を行っている.具体的には,(1)薄肉工作物を支持するエンドエフェクタの開発,(2)工作物の変形や振動を抑制する支持位置の選択,(3)加工機との同期制御のための速度プロファイルの生成を通じて,薄肉工作物が有する振動特性の制御を実現する.本研究の成果により,従来の工作機械単体では実現が困難であった,複雑な自由曲面形状に対する高精度な薄肉切削加工を実現する.
    2年目となる本年度には,初年度に設計した加工試験装置の実装を完了した.具体的には,自作したロボットコントローラを用いて,加工支援ロボットと薄肉加工を行う3軸加工機との同期制御を実現した.また,ロボットによる支持の有無が工作物の変形および振動に与える影響について実験的に調査を行った.加えて,昨年度に提案したロボット用軌跡生成法について,実機検証を通じて薄肉切削加工支援に有効であることを確認した.

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  • Compact SOFC reactors based on microfluidics and planer cell

    Grant number:23K26749  2023.4 - 2026.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

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    Authorship:Coinvestigator(s) 

    Grant amount:\18980000 ( Direct Cost: \14600000 、 Indirect Cost:\4380000 )

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  • Machining process control with active spindle equipped with positioning and sensing functions

    Grant number:23K26009  2023.4 - 2026.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

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    Authorship:Coinvestigator(s) 

    Grant amount:\18590000 ( Direct Cost: \14300000 、 Indirect Cost:\4290000 )

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  • スプライン曲線を指令とする多軸工作機械の振動抑制を目的とした軌跡生成法

    2022.7 - 2023.6

    公益財団法人工作機械技術振興財団  試験助成A

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    Authorship:Principal investigator  Grant type:Competitive

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  • デュアルドライブシステムの軌跡最適化によるレーザ加工の高速高精度化

    2021.12 - 2024.3

    公益財団法人天田財団  奨励研究助成(若手研究者枠)

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    Authorship:Principal investigator  Grant type:Competitive

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  • 既存生産設備と協働可能な多能工自走ロボットによるダイナミック生産ラインの実現

    2021.10 - 2024.3

    国立研究開発法人新エネルギー・産業技術総合開発機構  5G等の活用による製造業のダイナミック・ケイパビリティ強化に向けた研究開発

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    Authorship:Principal investigator  Grant type:Collaborative (industry/university)

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  • Decoupled Approachによる5軸制御工作機械の特異点回避

    2021.4 - 2022.3

    公益財団法人マザック財団  研究開発助成

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    Authorship:Principal investigator  Grant type:Competitive

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  • Trajectory control of multi-degree-of-freedom systems with kinematic redundancy by motion optimization for high-speed and high-precision machining

    Grant number:20K14622  2020.4 - 2022.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Early-Career Scientists

    Tajima Shingo

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\4160000 ( Direct Cost: \3200000 、 Indirect Cost:\960000 )

    To realize high-speed and high-precision machining by a multi-degree-of-freedom system with kinematic redundancy, this study newly constructed an 8-axis control system using a 2-axis Cartesian orthogonal stage and a 6-axis industrial robot, and developed a trajectory control method for joint command profiles required for machining. The proposed trajectory generation method enables accurate interpolation of the position and orientation command trajectories of the robot motion in the work coordinate system. In addition, the static and dynamic components of positioning accuracy are controlled by optimized trajectory of redundant joints, and a novel velocity profile generation method is developed by considering the natural frequencies that vary depending on the robot's posture.

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  • 超精密ハイブリッドマシニングシステム

    2019.7 - 2021.6

    公益財団法人工作機械技術振興財団  第1次プロジェクト研究

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    Authorship:Coinvestigator(s)  Grant type:Collaborative (industry/university)

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