A 7-DOF manipulator controlled by 16 pneumatic artificial muscles. Due to its softness, it can be used in assisting people through direct mechanical contact.
A system with multiple pan-tilt cameras, each of which can control its viewing direction, observes moving objects such as walking/dancing/exercising people. Each camera is connected to a computer through a high-speed network, enabling synchronization and capturing while controlling the viewing direction. A non-optical motion capture system is also integrated into this system, which is employed for accurately measuring 3D shapes and motions of people and their clothing.
A wire-driven robot-arm with the same DOF as a human being and a robot hand with 3 fingers. The arm, without gears, provides the smooth and fast motion of a human arm. Torque control enables safe interaction with people. The mechanism that links movements of two fingers allows easy handling of various tasks. This equipment can be used in research in the development of human-like motor skills and object grasping.
Satellite or wireless communication can connect remote graphics workstations. This is done for research in communication systems and image processing, enabling remote medical diagnostics using VR and videoconference systems. The system comprises an MPEG-2 video image encoder / decoder device, an image processing workstation to generate the VR image, and high-speed communication and mobile communication systems.
A display to provide a virtual reality experience in a virtual environment based on real-world images. It is composed of three large screens, a stereo high resolution projector and equipment that allows the user to walk in any direction. A measuring device changes the virtual reality environment according to the user's walking movements. The equipment has been used to control remote robots and in research on high-resolution tele-presence systems.
This equipment presents a high resolution image in a wide viewing angle. It consists of a large 4m diameter spherical display and a high-resolution wide-angle projector. The high-resolution video image from an outdoor environment is taken by a high-resolution omnidirectional camera. The equipment has been used to navigate in remote areas and to experience virtual reality.
日常生活での作業・物体操作を研究するための双腕ロボットシステムです。頭部に装着された 2眼カメラシステムをパン・チルトさせて環境の情報を取得することができ，腕部に６自由度，手先に４自由度を有 する手腕により器用な動作を実現することができます。またOpenRTMと呼ばれるロボット向けミドルウエアを使用することで、システム構成も柔軟に変更することができます。今後、 このロボットシステムを用いて、人の作業知能の解明に取り組んでいきます。
Coexistence of autonomous robots and humans in the same environment presents the challenge of how to achieve new ways of interaction between them. This system enables many sensors to be used to capture human and robot behavior, and real-time recognition can create or initiate interaction. This system consists of a 158-cm high robot with 31 degrees of freedom, multiple cameras and a motion capture system.
An inverted optical microscope used for Nanobiology research. It is an imaging device that uses incident laser light on a sample under a microscope and measures biomolecular fluorescence or Raman scattering light.
This equipment is used to measure a single molecule of a biomolecular structure. It uses the evanescent field produced during the total reflection of a laser beam. It then excites the existent fluorescence molecule in the substrate within a distance of 200nm. By using a CCD camera which is highly sensitive to refrigeration, it is possible to detect and produce the image of a single molecule. In addition, when combined with optical tweezers, the camera enables measuring the interaction forces between molecules of a weak Femto-Newton order.
This equipment is used for checking intracellular biomolecules. It agglomerates a laser light energy to 10-13 seconds and collects it into the microscope to produce light with more than 1TW/cm2 of high density energy. This system can spectroscopically measure photon-absorbed luminous biomolecules and fluorescent molecules, and can also cut cellular membranes.
An imaging system with four times the resolution of high vision images. It is capable of sending / receiving 4K images and displaying realistic images. This system has been used in research on new generation multimedia systems, combining image processing and network technologies, to transmit bulk data regardless of the distance from the remote end through the internal and external information superhighway.
This system can support various application areas such as image processing, data mining, and large scale simulations with computational facilities as follows:
- 6 of large shared memory node:
Each node is equipped with 80 core CPU and 2TiB main memory.
- 120 of cluster node:
Each node is equipped with 20 core CPU and 64GiB main memory.
- 2 of Super parallel calculation node
Each node is equipped with 4 GPGPU module, 16 core CPU and 128GiB main memory.
- 18 of large-scale data processing node
Each node works as a Hadoop node with 16core CPU, 64 GiB main memory, and 36TB HDD.
- High speed distributed file server:
It works as a GlusterFS server with 450 TiB storage and 17 GB/s throughput.
This system also provides users with various softwares including several compilers, computation libraries, and SDKs.
This system can emulate large-scale cloud computing environments to analyze and verify various cloud systems including SaaS, PaaS, and IaaS with 135 computing nodes, a traffic generator node, and a network traffic analyzing node.
人と同じ空間を共有するロボットには、人と同じ環境を行動する能力が求められます。人と似た構造を持つヒューマノイドロボットは、そのような研究をおこなうプラットフォームとして最適です。このヒューマノイドロボットは、実現できる作業の自由度を考慮して、腕部に7自 由度、脚部6自 由度、全体として計34自由度を持ちながら、身長151cm、 体重38kgと小型・スリムなため運用性・適用性に優れています。今後、このヒューマノイドを用いて、知的な全身動作の実 現に取り組んでいきます。
This wearable eye tracking system captures gaze behavior in any real world environment. Its wide angle scene camera offers a view from viewpoint of a subject. This system allows researchers to see exactly what a person is looking at. It is possible to synchronize this system with a broad spectrum of physiological data, including EEG, ECG, and motion capture. Since there are two tracking systems, simultaneous recoding from two subjects is also possible.
This screen-based eye tracker captures gaze data at 300 Hz with extremely-high accuracy and precision allowing for head movements. This system includes the subsystem to reliably and accurately synchronize on-screen stimuli and eye tracking data with various physiological data including EEG.
This system measures multi-channel, high resolution electroencephalography (EEG) and surface electromyography (sEMG). A headcap with pin-type active electrodes realizes a quick start of EEG measurement. sEMG signals are measured with a flexible high density array of electrodes pressed on the skin. The array setup provides information about the sEMG topography.
This simple compact driving simulator is used for the research of driving behaviors. This system is used with the glasses-type eye tracking system to investigate the driver’s visual information processing during driving.
This system is used for the research of human movements. Joint torques and muscle tensions in a whole body can be estimated from measured data using a musculoskeletal simulator.
Series of single chip SoCs equipped with ARM, FPGA and GPU are available. Linux on ARM/SoC can control FPGA/GPU/Custom-LSI designed for IoT acceleration.
Series of large-scale FPGA systems on Intel servers are available. Linux/FreeBSD on Intel can send large data to FPGA through DMA/PCI interface so that large-scale data to be processed in high-speed. Also, new devices manufactured with new material such as analog neural network chip can be directly connected to FPGA.
A 120 cores (240 threads) server equipped with eight XEON E7-8890-v2, 256GB memory and MATLAB+Simulink is available. Circuit/architecture simulation and parallelized applications are performed in high-speed. Moreover, 40 cores Xeon system, 32 cores Xeon system, Xeon Phi systems and several types of GPU servers are available.
A high-performance computing system for research on large-scale
natural language processing, including parsing volume of
streaming text in real time, translating multi-lingual documents,
and text mining.
The system consists of a 24-core Xeon E5-4617 large-scale computing server with 512 GB RAM, four 8-core Xeon E5-2643 middle-scale computing servers with 256 GB RAM each, and two network file servers with a total of 44 TB storage.
A system composed of different panels with 5 SXGA Plus projectors, 3 high definition plasma display (50 inches), 2 vertical touch panels (42 inches), 1 moving projector system, the world's largest touch interface (270 inches) and a UMU SCREEN. Using a hetero display system that consists of these display devices, we are working on a study which improves meetings and human communications.
A private cloud system integrated by a virtual computing platform for software analysis and cloud computing researches. This system includes an ultra high-speed and reliable network storage providing 90TB of RAID6 HDD and a set of blade servers with 160 CPU cores.
An ultra large screen display system composed of six large hi-vision monitors. This system is available flexibly as a single large display or separated two displays composed of four monitors and two monitors respectively.
A device to measure brain waves and other biometric signals. Using this 32-channel battery-powered brain wave measurement and analysis device, we are performing measurements of the brain activity caused by human communication.
This system consists of 10 nodes, 30 GPUs of NVIDIA GeForce TITAN and NVIDIA GeForce GTX1080Ti for deep learning.
This system consists of 7 nodes, 1.6TB Memory, 100TB Disk array, 4 GPUs of NVIDIA Tesla for deep learning.
A human-sized dexterous robot hand equipped with pneumatic artificial muscles and tactile sensors. This unique system is fully integrated with ROS, and can be used for applications requiring highly compliant behaviors or detailed sensing capabilities.
High-speed and large-memory computing servers
A 26-node computing cluster with a total of 592 cores and 2.6 TB of memory, as well as a high-speed distributed file system capable of holding 110 TB of data, allowing for the real-time acquisition and processing of large-scale data regarding all aspects of communication. The cluster is being used for research into the high-speed and flexible access of text and speech data, as well as multi-lingual text analysis and translation.
This vehicle provides ad-hoc Internet connectivity using satellite communication facility and its mobility. Therefore, it can be used as emergency Internet environments in case of disasters.
This facility provides, as a testbed, an actual home environment with a living room, a kitchen, a toilet, a bathroom, a bedroom, where various home appliances are deployed as in an ordinary household. In addition, this facility is equipped with special sensors including high-accuracy indoor positioning system, wireless power meters, door sensors, ambient sensor (temperature, humidity, illuminance, etc), and motion sensors. We are collecting data while subjects are actually living in this facility and are developing various methods including activity recognition and automatic appliance control using the collected sensor data.
These devices enable us to execute spectroscopic analysis widely used in many fields. Hyper spectral camera captures a cubic image of 696pix by 520pix by 128bands across the 400 to 1,000 nm spectral range. Three kinds of spectrometers are also available that cover 200-1,100nm, 500-1,375 nm, and 900-2,500 nm
This robot interacts with humans by using not only verbal channel but also non-verbal communication channel such as gesture. This robot is also used for concept learning by using its visual, auditory, and tactual sensors.
An open-magnet low-field (0.25 T) MRI (magnetic resonance imaging) system (G-scan Brio, Esaote, Genova, Italy) is available at NAIST. Its main feature is that weight-bearing standing position imaging is possible in addition to a supine position, which is particularly suitable for musculoskeletal imaging under gravity. Computational models of functional anatomy and biomechanics of human musculoskeletal systems are constructed from acquired MR images, which will be applied to medical diagnosis, therapy planning, rehabilitation, and sports science.