JRLメンバーとなる様々な方法があります |
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常勤職員 | |||
産総研常勤職員の採用情報はこちらに掲載されています。通常年2回、春と秋に公募が行われます。JRLは情報・人間工学領域に所属しているため、同領域の採用情報をご確認ください。応募を検討されている場合は、事前にご連絡いただくことを推奨します。
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客員研究員 | |||
客員研究員としての滞在を希望される場合は、ご連絡ください。 JRLはJSPSフェローをホストすることができますので、JSPS特別研究員やJSPS外国人特別研究員、JSPS外国人招へい研究者への応募を希望される場合はご連絡ください。 | |||
契約職員 | |||
ポスドクやテクニカルスタッフ等の契約職員を募集している場合があります。採用情報はこちらのページの情報・人間工学領域の部分で確認できます。
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学生(筑波大学ヒューマノイド研究室はこちら) | |||
学生は産総研技術研修生としてJRLに在籍することができます。また優秀な技術研修生は産総研リサーチアシスタントとして雇用される場合があります。どの大学の学生も技術研修生としてJRLに在籍することが可能ですが、以下の大学についてはJRL研究者の指導の元、で修士や博士の研究を行い、学位を取得することが可能です。
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募集中の研究テーマ | |||
現在、以下の研究テーマに取り組む学生を募集しています。JRLで学位取得のための研究、またはその一部を行うことを希望される場合はご連絡ください。 |
テーマ名 | 概要 | 修士/博士 | 必要な基礎知識 |
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Adaptive torque control | Usually the control of robots rely on precise models, however, these can be unavailable or drift over time. Adaptive control techniques will be expected to correct for these modeling errors and compensate for them during the motion. The student will be working on our humanoid robots. | master (possibility to extend to PhD) | Preferred: C++, control theory, multibody dynamics Required: basic calculus, spoken English language |
Humanoid robots force control for multi-contact locomotion | Locomotion control of legged robots requires force control that relies usually on contact force sensors, however humanoid or legged robot may use parts of their body that are not equipped with these sensors such as elbows and knees. In this work the student will develop and test a control of this kind of contact. | Master (possibility to extend to PhD) | Preferred: C++, ROS, control theory, multibody mechanics. Required: basic geometry and calculus, spoken English language |
Safe training of neural networks on real robotic platforms | In most cases the training of neural networks to control the motion of humanoid and legged robots, happen in numerical simulation and then transferred to the real robot. In this work the student will design a framework to train neural networks directly on the real robot. They need to ensure the safety and the autonomy of the learning pipeline. | Master/PhD | Preferred: C++, Deep learning, ROS, multibody mechanics. Required: spoken English language |
Direct Visual Servoing from farther and faster |
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Master/PhD | C++ programming, mathematical background |
Contact-Ready Robust Hydraulic Actuator for Mobile Robots | To vastly increase the use of robots, tasks with contacts are inevitable. In this research, we aim to develop robust and force sensitive hydraulic actuators to realize robust and dexterous manipulation on mobile robots. | Master | Mechanical design, 3D CAD, Basic fluid dynamics, Basic mechatronics |
Optimal structural design and structural force sensing for robot systems | Force sensitivity is an important feature for robots that co-exist with humans. However, use of torque sensor was limited from increase in weight and size, and lowering of resonance frequency. In this research, we study force sensing technique using structural materials and optimization of sensitivity and structural robustness. | Master | Mechanical design, Basic electronics, Basic numerical optimization |
AI-aided teleoperation to achieve seamless telepresence for non-experts |
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Master/PhD | C++, Python, Linux, machine learning |
Pose estimation and mesh reconstruction of objects in the wild |
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Master | C++, Python, Linux, computer vision for object pose detection |
Enhanced visual feedback for immersive humanod robot teleoperation |
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Master | Unity/Unreal, computer vision, SLAM |
Navigation and control of a mobile robot with mounted arm |
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Master | C++, Python, ROS2, Linux, planning and control of mobile robots and manipulators |
Impact management for humanoid robots using nonsmooth controllers |
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Master/PhD | C++, Linux, dynamics, non-linear control theory |
Simulation and control of an inflatable module mockup |
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Master | C++, Linux, CAD design, FEM-based simulation, fluid mechanics, non-linear control theory |
Responsive multi-contact locomotion |
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Master/PhD | Dynamics, Control theory, Optimization, Graph search, Programming(c++), (Machine learning) |
Data-driven quadruped controller toward outdoor exploration |
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Master | Reinforcement learning, RNN, DNN, Programming(python, c++) |
Construction and Retrieval of Multi-contact Motion Library for Humanoid Robot | We offer research about the methodology of construction and retrieval of motion library to achieve on-site multi-contact motion planning for a humanoid robot. We want to clarify the structure of the motion library, which can preserve the feasible whole-body motion of a humanoid robot. We also want to develop the online adaptation method to modify preserved motion to satisfy kinematics and dynamics constraints in an unknown environment. | PhD | Basic knowledge of robotics, Software development by C++ and Python with ROS |
Vision-based deformation of human body deformation for safe robot interaction |
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Master/PhD | mathematical and mechanical background in 3D geometry, optimization, training, C++ / python programming |
Human body visual tracking leveraging biomechanical modelling |
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Master | mathematical and mechanical background, 3D geometry, optimization, training, C++ / python programming |