CaPaMan2bis as Trunk module in CALUMA (CAssino Low-cost hUMAnoid robot)

Author(s):  
Nava Nestor Eduardo ◽  
Carbone Giuseppe ◽  
Ceccarelli Marco
Keyword(s):  
2004 ◽  
Vol 01 (03) ◽  
pp. 449-463
Author(s):  
HIROAKI KITANO ◽  
FUMINORI YAMASAKI ◽  
TATSUYA MATSUI ◽  
KEN ENDO ◽  
YUKIKO MATSUOKA ◽  
...  

PINO is a small-sized, low-cost humanoid robot developed for research. The salient feature of PINO is the use of low-cost components, extensive esthetic design, the disclosure of technical information under GNU General Public Licensing, the use of evolutionarly computing methods to generate stable walking patterns, and numerious commerical developments. In fact, PINO is the first biped humanoid robot that was sold as a commercial product. Currently, PINO-II is on the market with various improved aspects of PINO. This article describe ideas behind PINO, and how it was developed and transferred into the industrial sector.


Author(s):  
R. Dimas Pristovani ◽  
Dewanto Sanggar ◽  
Pramadihanto Dadet

<span lang="EN-US">Basically, human can sense the active body force trough the soles of their feet and can feel the position vector of zero moment point (ZMP) based on the center of pressure (CoP) from active body force. This behavior is adapted by T-FLoW humanoid robot using unique sensor which is piezoelectric sensor. Piezoelectric sensor has a characteristic which is non-continuous reading (record a data only a moment). Because of it, this sensor cannot be used to stream data such as flex sensor, loadcell sensor, and torque sensor like previous research. Therefore, the piezoelectric sensor still can be used to measure the position vector of ZMP. The idea is using this sensor in a special condition which is during landing condition. By utilizing 6 unit of piezoelectric sensor with a certain placement, the position vector of ZMP (X-Y-axis) and pressure value in Z-axis from action body force can be found. The force resultant method is used to find the position vector of ZMP from each piezoelectric sensor. Based on those final conclusions in each experiment, the implementation of foot pressure sensor modul using piezoelectric sensor has a good result (94%) as shown in final conclusions in each experiment. The advantages of this new foot pressure sensor modul is low-cost design and similar result with another sensor. The disadvantages of this sensor are because of the main characteristic of piezoelectric sensor (non-continuous read) sometimes the calculation has outlayer data.</span>


Author(s):  
Nestor Eduardo Nava Rodriguez ◽  
Giuseppe Carbone ◽  
Marco Ceccarelli

At LARM in Cassino a research line has been focused on the design of robotic systems with low-cost easy-operation features as challenges for a user-oriented Robotics. In this frame a final project has been stated to design and built a low-cost easy-operation humanoid robot as a systems summarizing experiences and prototypes that have been carried out at LARM. A humanoid robot, named as CALUMA (CAssino Low-cost hUMAnoid robot) has been designed and described by using suitable models and 3D-CAD kinematic simulations in order to define feasible design and operation. A dynamic simulations have been carried out by using ADAMS software in order to study the dynamical aspects of basic operation with the aim to optimise the design and operation programming. Results of this design activity through dynamical simulation are reported in this paper.


2007 ◽  
Vol 4 (1) ◽  
pp. 1-8
Author(s):  
Nestor Eduardo Nava Rodriguez ◽  
Giuseppe Carbone ◽  
Marco Ceccarelli

In this paper, the operation of CALUMA (CAssino Low-cost hUMAnoid) robot has been investigated for a task while carrying a load. CALUMA robot is the result of a design project that has been elaborated for designing and building a low-cost easy-operation humanoid robot by summarizing experiences and prototypes that have been developed at LARM. Dynamic simulations have been computed by using ADAMS software in order to study dynamical aspects of CALUMA operation while carrying a load. The dynamic simulations have also been used for studying the manipulation performance of CALUMA robot. Simulations have given results that confirm the feasibility of the proposed design, as shown in the reported examples.


Author(s):  
Ming Xie ◽  
Lei Wang ◽  
Xian Linbo ◽  
Jing Li ◽  
Hejin Yang ◽  
...  

Author(s):  
Jeakweon Han ◽  
Dennis Hong

Besides the difficulties in control and gait generation, designing a full-sized (taller than 1.3m) bipedal humanoid robot that can walk with two legs is a very challenging task, mainly due to the large torque requirements at the joints combined with the need for the actuators’ size and weight to be small. Most of the handful of successful humanoid robots in this size class that exist today utilize harmonic drives for gear reduction to gain high torque in a compact package. However, this makes the cost of such a robot too high and thus puts it out of reach of most of those who want to use it for general research, education and outreach activities. Besides the cost, the heavy weight of the robot also causes difficulties in handling and raises concerns for safety. In this paper we present the design of a new class of full-sized bipedal humanoid robots that is lightweight and low cost. This is achieved by utilizing spring assisted parallel four-bar linkages with synchronized actuation in the lower body to reduce the torque requirements of the individual actuators which also enables the use of off the shelf components to further reduce the cost significantly. The resulting savings in weight not only makes the operation of the robot safer, but also allows it to forgo the expensive force/torque sensors at the ankles and achieve stable bipedal walking only using the feedback from the IMU (Inertial Measurement Unit.) CHARLI-L (Cognitive Humanoid Autonomous Robot with Learning Intelligence - Lightweight) is developed using this approach and successfully demonstrated untethered bipedal locomotion using ZMP (Zero Moment Point) based control, stable omnidirectional gaits, and carrying out tasks autonomously using vision based localization.


Humanoid robots have been on the frontier of robotic science for several decades, where human alike capabilities have been replicated into electromechanical units. Humanoid robots hold promises in the field of rescue, quarantine, hazardous conditions, radiation leakage, medical trials, etc. Building a humanoid robot is very complicated as it has to deal with locomotion, power, drive train, sensors and computing at the real time. With the development of Single board computers (SBC), the cost of computers has drastically fallen in last 2 decades. At the same time the computation power (GF/Sec) has also increased exponentially. Similarly, MEMS and sensors have also become industrially available with micro sized, robust and reliable. The power source used by robots has also advanced from dry cell to Li-Ion batteries with 5 to 8 times more energy density, resulting in higher operation time. The objective of this paper is to propose a low-cost Humanoid platform comprising a computational platform, sensors, power unit and drive train to deliver basic human alike functions like speech, visual signs, and navigation. The proposed humanoid robot uses a single board computer (SBC) capable of executing python-based AI frameworks combined with Ultrasonic sensors, Li-ion battery and DC motor drives. A top mounted touch screen is used for human machine interface (HMI). This human robotics used in a mid-size campus to guide people to their respective destination, display brief information to new users and navigate to different locations. The humanoid robot adds an aesthetical value to the campus.


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