九州大学 研究者情報
論文一覧
有田 輝(ありた ひかる) データ更新日:2024.04.02

助教 /  工学研究院 機械工学部門 制御システム講座


原著論文
1. 吉田 優太郎, 林 亮, 舛屋 賢, 高木 賢太郎, 有田 輝, 田原 健二, 回転型釣糸人工筋肉アクチュエータの拮抗型合トルク制御, 日本ロボット学会誌, 10.7210/jrsj.41.573, 41, 6, 573-576, 2023.07.
2. Sumitaka Honji, Hikaru Arita, Kenji Tahara, Stochastic approach for modeling soft fingers with creep behavior, Advanced Robotics, 10.1080/01691864.2023.2279600, 37, 22, 1471-1484, 2023.11.
3. Hikaru Arita, Hayato Nakamura, Takuto Fujiki, Kenji Tahara, Smoothly Connected Preemptive Impact Reduction and Contact Impedance Control, IEEE Transactions on Robotics, 10.1109/tro.2023.3286045, 39, 5, 3536-3548, 2023.06.
4. Ha Thang Long Doan, Hikaru Arita, Kenji Tahara, External Sensor-Less in-Hand Object Position Manipulation for an Under-Actuated Hand Using Data-Driven-Based Methods to Compensate for the Nonlinearity of Self-Locking Mechanism, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 10.1109/iros55552.2023.10341517, 4896-4903, 2023.10.
5. 本司 澄空, 有田 輝, 田原 健二, 確率的表現された粘弾性パラメータを用いた柔軟指の実時間状態推定, 日本ロボット学会誌, 2024.01.
6. Ha Thang Long Doan, Hikaru Arita, Kenji Tahara, External Sensor-less Fingertip Force/Position Estimation Framework for a Linkage-based Under-actuated Hand with Self-locking Mechanism, The 2024 16th IEEE/SICE International Symposium on System Integration (SII 2024), 2024.01.
7. Mutsuhito Sato, Hikaru Arita, Yoshiki Mori, Sadao Kawamura, Zhongkui Wang, A Sensorless Parallel Gripper Capable of Generating Sub-Newton Level Grasping Force, The 2024 16th IEEE/SICE International Symposium on System Integration (SII 2024), 2024.01.
8. Shoki Tsuboi, Hikaru Arita, Hitoshi Kino, Kenji Tahara, Variable end-point viscoelasticity control for a musculoskeletal redundant arm, Advanced Robotics, 10.1080/01691864.2023.2239880, 1-14, 2023.07.
9. Hikaru Arita, A fast optical proximity sensor skin that contains an analog computing circuit and can cover an entire link, Advanced Robotics, 10.1080/01691864.2023.2239320, 1-17, 2023.07.
10. Hikaru Arita, Hayato Nakamura, Takuto Fujiki, Kenji Tahara, Smoothly Connected Preemptive Impact Reduction and Contact Impedance Control, IEEE Transactions on Robotics, 10.1109/TRO.2023.3286045, 2023.06, This article proposes novel control methods that lower impact force by preemptive movement and smooth transition to conventional contact-based impedance control. These techniques are suggested for application in force-control-based robots and position/velocity-control-based robots. Strong impact forces have a negative influence on multiple robotic tasks. Recently, preemptive impact reduction techniques that expand conventional contact impedance control using proximity sensors have been examined. However, a seamless transition from impact reduction to contact impedance control has yet to be demonstrated. It has, therefore, been necessary to switch control strategies or perform complicated parameter tuning. In contrast, our proposedmethods utilize a serial combined impedance control framework to solve these problems. The preemptive impact reduction feature can be added to an already-implemented impedance controller because the parameter design is divided into impact reduction and contact impedance control. There is no discontinuity or abrupt alteration in the contact force, nor are there any excessively large contact forces that exceed the intended repulsive force established by the contact impedance control during the transition. Furthermore, although the preemptive impact reduction uses a crude optical proximity sensor, the influence of reflectance is minimized by employing a virtual viscous force. Analyses and real-world experiments with a 1-D mass model confirm these features, which are useful for many robots performing contact tasks..
11. Hikaru Arita, Yosuke Suzuki, Hironori Ogawa, Kazuteru Tobita, Makoto Shimojo, Hemispherical Net-structure Proximity Sensor Detecting Azimuth and Elevation for Guide Dog Robot, 2013 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 10.1109/IROS.2013.6696420, 653-658, 2013.11, We have developed a net-structure proximity sensor that detects the azimuth and elevation to a nearby object. This information can be used by robots to avoid obstacles or to respond to human behavior. We propose detection principles where the azimuth is detected by arranging two one-dimensional net-structure proximity sensors along orthogonal axes, and the elevation is detected by arranging two one-dimensional net-structure proximity sensors in a stacked ring. We also experimentally demonstrate the feasibility of these detection principles. The experimental result shows the sensor can detect azimuth at all peripheral angles and elevation from side to top up..
12. 有田輝, 米田将允, 鈴木陽介, 下条誠, 明愛国, 2足歩行安定性を向上する足裏実装型非接触センサの開発, 日本ロボット学会誌, 10.7210/jrsj.35.669, 35, 9, 31-42-680, 2017.12, For bipedal robots walking on uneven terrain, lack of information about a terrain may cause serious reduction of the stability. To solve the problem, the purpose of this paper is to develop a sensor which can be mounted on robot's soles and propose methods which can increase the stability of bipedal walk with the sensor. The sensor should detect information including relative posture and relative distance between the sole of the swing leg and the floor, when the robot execute the walk by ZMP-based control. In this paper, the sensor has been designed based on Net-Structure Proximity Sensor (NSPS) and a prototype has been developed. The developed sensor is with thin structure, light weight, less wirings (four wires only) and fast response (
13. 有田 輝, 明 愛国, 足裏近接覚情報を用いて傾斜変化に対応する2足歩行軌道計画, 日本ロボット学会誌, 10.7210/jrsj.38.401, 38, 4, 401-408, 2020.05.
14. H.Arita, A.Ming, Motion planning method of bipedal walking using partial-circular feet imitating wheel motion, IEEE Int. Conf. on Robotics and Biomimetics, pp.2386-2393, 2018.12.
15. H. Arita, Y. Suzuki, Contact transition control by adjusting emitting energy of proximity sensor, Advanced Robotics, 10.1080/01691864.2020.1848622, 35, 2, 93-107, 2021.01.
16. Ryuki Sato, Hikaru Arita, Aiguo Ming, Pre-Landing Control for a Legged Robot Based on Tiptoe Proximity Sensor Feedback, IEEE Access, 10.1109/access.2022.3153127, 10, 21619-21630, 2022.02.

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