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  • Centro de Automática y Robótica (CAR)
    on a parallel structure Stewart Gough platform with the capability of changing its geometry in order to facilitate the navigation within complex maneuvers Orientation and propulsion systems can change in order to provide even more underwater dexterity A thruster located in the back of its structure which drives the vehicle forward composes the main propulsion system of the robot For example REMO I can navigate in one direction and turn fast in the opposite direction with a constant velocity When we have two forces in ninety degrees they exist a pure torque that generate this change of direction Contact Roque Saltarén rsaltaren etsii upm es Reference to key publications Saltaren R Aracil R Alvarez C Yime E Sabater J M Field and service applications Exploring deep sea by teleoperated robot An Underwater Parallel Robot with High Navigation Capabilities Robotics Automation Magazine IEEE vol 14 no 3 pp 65 75 2007 DOI 10 1109 MRA 2007 905502 URL http ieeexplore ieee org stamp stamp jsp tp arnumber 4337968 isnumber 4337752 Saltaren R Garcia Cena C Alvarez C et al Experiences and results from designing and developing a 6 DoF underwater parallel robot ROBOTICS AND AUTONOMOUS SYSTEMS Vol 59 num 2 2011

    Original URL path: http://www.car.upm-csic.es/prototype.php?proto=19 (2015-08-08)
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  • Centro de Automática y Robótica (CAR)
    issues This telerobotics system has been developed by the Universidad Politécnica de Madrid in collaboration with Iberdrola and Cobra a Spanish utility company and contractor respectively The ROBTET system was in operation in the Spanish electricity network from 2002 to 2004 which attests to the success of the prototype Contact Manuel Ferre m ferre upm es Reference to key publications Telerobotic system for live power line maintenance ROBTET Aracil R

    Original URL path: http://www.car.upm-csic.es/prototype.php?proto=20 (2015-08-08)
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  • Centro de Automática y Robótica (CAR)
    delivering results in real time Fast Image Processing FIP and a slower and more accurate processing Robust Crop Row Detection RCRD that is used to correct the first subsystem s mistakes This combination produces a system that achieves very good results under a wide variety of conditions Tested on several maize videos taken of different fields and during different years the system successfully detects an average of 95 of weeds and 80 of crops under different illumination soil humidity and weed crop growth conditions Moreover the system has been shown to produce acceptable results even under very difficult conditions such as in the presence of dramatic sowing errors or abrupt camera movements The computer vision system has been developed for integration into a treatment system because the ideal setup for any weed sprayer system would include a tool that could provide information on the weeds and crops present at each point in real time while the tractor mounting the spraying bar is moving Contact Dr Angela Ribeiro angela ribeiro csic es Reference to key publications Xavier P Burgos Artizzu Angela Ribeiro Maria Guijarro Gonzalo Pajares 2011 Real time image processing for crop weed discrimination in maize fields Computers and Electronics

    Original URL path: http://www.car.upm-csic.es/prototype.php?proto=21 (2015-08-08)
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  • Centro de Automática y Robótica (CAR)
    resolution image sensing As a result the concept of Precision Agriculture has emerged as the management strategy that uses information technologies to collect and process data from multiple sources in order to facilitate decisions associated with crop production Moreover the EU s sixth environmental action programme addresses the need to encourage farmers to change their use of plant protection products RHEA is focused on the design development and testing of a new generation of automatic and robotic systems for both chemical and physical mechanical and thermal effective weed management focused on both agriculture and forestry and covering a large variety of European products including agriculture wide row crops processing tomato maize strawberry sunflower and cotton close row crops winter wheat and winter barley and forestry woody perennials walnut trees almond trees olive groves and multipurpose open woodland RHEA aims at diminishing the use of agricultural chemical inputs in a 75 improving crop quality health and safety for humans and reducing production costs by means of sustainable crop management using a fleet of small heterogeneous robots ground and aerial equipped with advanced sensors enhanced endeffectors and improved decision control algorithms RHEA can be considered as a cooperative robotic system falling within

    Original URL path: http://www.car.upm-csic.es/prototype.php?proto=22 (2015-08-08)
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  • Centro de Automática y Robótica (CAR)
    Batbot to efficiently maneuver by means of morphing wing adjustments Attempting to reproduce the muscles system acting on their wing s joints requires the analysis of alternative actuation technologies more likely muscle fiber arrays instead of standard servomotor actuators Contact Claudio Rossi claudio rossi upm es Reference to key publications Colorado J Barrientos A Rossi C Biomechanics design of smart wings in a Bat robot morphing wings SMA control Bioinspiration

    Original URL path: http://www.car.upm-csic.es/prototype.php?proto=23 (2015-08-08)
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  • Centro de Automática y Robótica (CAR)
    for supervised autonomous mobility in structured and unstructured environment This simulation software allows to train and control unmanned forces in collaborative environments and it also gives the opportunity to personnel with the capability to train with robotic systems and to provide for development and experimentation with manned and unmanned interfaces The simulation software will be used to control a real robotic team in the future Specific technologies include intelligent driving

    Original URL path: http://www.car.upm-csic.es/prototype.php?proto=24 (2015-08-08)
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  • Centro de Automática y Robótica (CAR)
    setup enables bimanual virtual object manipulation The haptic device provides data about the angular position of all joints and data from four contact sensors located within the thimbles The values obtained from the angular positions of the joints enable a calculation of the position and orientation of the thimbles whereas the values obtained from the contact sensors are used to formulate an approximate calculation of the user s force during object manipulation This information regarding forces enables the segmentation of manipulation tasks and is essentially based on the rising edges produced by the contact sensor signals After performing task segmentation the state of the task in progress is detected This facilitates improvements in user interaction because restrictions can be established in the relationships between the objects that change dynamically depending on the stage of manipulation This information allows for an improvement in the realism of the simulation because the forces reflected take into account how the relationships between objects vary over the course of the task Contact Manuel Ferre m ferre upm es Reference to key publications Segmentation of Bimanual Virtual Object Manipulation Tasks Using Multifinger Haptic Interfaces P Garcia Robledo J Ortego M Ferre J Barrio and M A

    Original URL path: http://www.car.upm-csic.es/prototype.php?proto=25 (2015-08-08)
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  • Centro de Automática y Robótica (CAR)
    physical weed management focused on both agriculture and forestry e g processing tomato maize strawberry sunflower and cotton RHEA aims at diminishing the use of agricultural chemical inputs in a 75 improving crop quality health and safety for humans and reducing production costs by means of sustainable crop management using a fleet of small heterogeneous robots ground and aerial equipped with advanced sensors enhanced end effectors and improved decision control algorithms In this regard the ground robots are though as the actuators which use the information provided by the aerial units AU to decide where to fumigate or eliminate the weed On the contrary the AUs are defined as sensing elements which aim is to cover the crops performing remote sensing tasks In this sense the main goals of the CAR UPM s Robotics Cybernetics Group are to provide the optimum path planning algorithm to cover the fields as well as to develop the high level navigation control system for the aerial robots Contact Antonio Barrientos antonio barrientos upm es Jaime Del Cerro David Sanz Joao Valente Reference to key publications A Barrientos J Colorado J Del Cerro A Martinez C Rossi D Sanz and J Valente Aerial Remote Sensing

    Original URL path: http://www.car.upm-csic.es/prototype.php?proto=26 (2015-08-08)
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