390 research outputs found

    Lower body design of the ‘iCub’ a human-baby like crawling robot

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    The development of robotic cognition and a greater understanding of human cognition form two of the current greatest challenges of science. Within the RobotCub project the goal is the development of an embodied robotic child (iCub) with the physical and ultimately cognitive abilities of a 2frac12 year old human baby. The ultimate goal of this project is to provide the cognition research community with an open human like platform for understanding of cognitive systems through the study of cognitive development. In this paper the design of the mechanisms adopted for lower body and particularly for the leg and the waist are outlined. This is accompanied by discussion on the actuator group realisation in order to meet the torque requirements while achieving the dimensional and weight specifications. Estimated performance measures of the iCub are presented

    kobakku doraibabiriti o yusuru robottoyo akuchueta ni kansuru kenkyu

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    制度:新 ; 文部省報告番号:乙2045号 ; 学位の種類:博士(工学) ; 授与年月日:2006/10/19 ; 早大学位記番号:新433

    VARIOUS APPROACHES OF DYNAMIC MODELLING OF BIPED ROBOTIC SYSTEM-A REVIEW

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    Humans are the most advanced creatures of the nature. Accordingly it can be stated that humanoid robots are the most advanced creatures of human beings. Among the man-made systems such as automobile, hand-phones and multimedia devices, robots of future will hopefully be the most ideal assistants to human beings. During several decades of research, development projects aimed at building bipedal and humanoid robots has been increasing at a rapid rate. A brief review of current activities in the development of bipedal humanoid robotics is provided in this paper. The dynamic modelling of biped robotic system in the current trend is also described. The main objectives for using bipedal robots are introduced and bipedal locomotion as well as its dynamic behaviors in different fields are also considered. The use of dynamics of different kinds of mechanical systems in the field of humanoid robotics is also emphasized. Finally, a list of few projects in this field is provided

    RPBP: Rapid-prototyped remote-brain biped with 3D perception

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    This paper provides the design of a novel open-hardware mini-bipedal robot, named Rapid-Prototyped Remote-Brain BiPed (RPBP), that is developed to provide a low-cost and reliable platform for locomotion and perception research. The robot is made of customized 3D-printed material (ABS plastic) and electronics, and commercial Robotics Dynamixel MX-28 actuators, as well as visual RGB-D and IMU sensing systems. We show that the robot is able to perform some locomotion/visual-odometry tasks and it is easy to switch between different feet designs, providing also a novel Center-of-Pressure (CoP) sensing system, so that it can deal with various types of terrain. Moreover, we provide a description of its control and perception system architecture, as well as our opensource software packages that provide sensing and navigation tools for locomotion and visual odometry on the robot. Finally, we briefly discuss the transferability of some prototype research that has been done on the developed mini-biped, to half or fullsize humanoid robots, such as COMAN or WALK-MAN

    A Robot Operating System (ROS) based humanoid robot control

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    This thesis presents adapting techniques required to enhance the capability of a commercially available robot, namely, Robotis Bioloid Premium Humanoid Robot (BPHR). BeagleBone Black (BBB), the decision-making and implementing (intelligence providing) component, with multifunctional capabilities is used in this research. Robot operating System (ROS) and its libraries, as well as Python Script and its libraries have been developed and incorporated into the BBB. This fortified BBB intelligence providing component is then transplanted into the structure of the Robotis Bioloid humanoid robot, after removing the latter’s original decision-making and implementing component (controller). Thus, this study revitalizes the Bioloid humanoid robot by converting it into a humanoid robot with multiple features that can be inherited using ROS. This is a first of its kind approach wherein ROS is used as the development framework in conjunction with the main BBB controller and the software impregnated with Python libraries is used to integrate robotic functions. A full ROS computation is developed and a high level Application Programming Interface (API) usable by software utilizing ROS services is also developed. In this revised two-legged-humanoid robot, USB2Dynamixel connector is used to operate the Dynamixel AX-12A actuators through the Wi-Fi interface of the fortified BBB. An accelerometer sensor supports balancing of the robot, and updates data to the BBB periodically. An Infrared (IR) sensor is used to detect obstacles. This dynamic model is used to actuate the motors mounted on the robot leg thereby resulting in a swing-stance period of the legs for a stable forward movement of the robot. The maximum walking speed of the robot is 0.5 feet/second, beyond this limit the robot becomes unstable. The angle at which the robot leans is governed by the feedback from the accelerometer sensor, which is 20 degrees. If the robot tilts beyond a specific degree, then it would come back to its standstill position and stop further movement. When the robot moves forward, the IR sensors sense obstacles in front of the robot. If an obstacle is detected within 35 cm, then the robot stops moving further. Implementation of ROS on top of the BBB (by replacing CM530 controller with the BBB) and using feedback controls from the accelerometer and IR sensor to control the two-legged robotic movement are the novelties of this work
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