4 research outputs found

    The Effect of Camera Calibration Space on Visual Pose's Precision

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    Exploração inteligente de objetos por manipulador robótico

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    The end goal of this dissertation is to develop an autonomous exploration robot that is capable of choosing the Next Best View which reveals the most amount of information about a given volume. The exploration solution is based on a robotic manipulator, a RGB-D sensor and ROS. The manipulator provides movement while the sensor evaluates the scene in its Field of View. Using an OcTree implementation to reconstruct the environment, the portions of the de ned exploration volume where no information has been gathered yet are segmented. This segmentation (or clustering) will help on the pose sampling operation in the sense that all generated poses are plausible. Ray casting is performed, either based on the sensor's resolution or the characteristics of the unknown scene, to assess the pose quality. The pose that is estimated to provide the evaluation of the highest amount of unknown space is the one chosen to be visited next, i.e., the Next Best View. The exploration reaches its end when all the unknown voxels have been evaluated or, those who were not, are not possible to be measured by any reachable pose. Two case studies are presented to test the performance and adaptability of this work. The developed system is able to explore a given scene which, initially, it has no information about. The solution provided is, not only, adaptable to changes in the environment during the exploration, but also, portable to other manipualtors rather than the one used in the development.O objetivo nal desta dissertação é desenvolver um robot de exploração autônomo capaz de escolher a Próxima Melhor Vista que revela a maior quantidade de informações sobre um determinado volume. A solução de exploração é baseada num manipulador robótico, num sensor RGB-D e em ROS. O manipulador proporciona movimento enquanto o sensor avalia a cena no seu campo de visão. Usando uma implementação Oc- Tree para reconstruir o ambiente, as partes do volume de exploração de nido onde nenhuma informação ainda foi recolhida são segmentadas. Esta segmenta ção (ou agrupamento) ajudará na operação de amostragem de poses no sentido em que todas as poses geradas são plausíveis. Ray casting é realizado, seja com base na resolução do sensor ou nas características da cena desconhecida, para avaliar a qualidade da pose. A pose que é estimado fornecer a avaliação da maior quantidade de espaço desconhecido é a escolhida para ser visitada em seguida, ou seja, a Próxima Melhor Vista. A exploração chega ao m quando todos os voxels desconhecidos tiverem sido avaliados ou, aqueles que não o foram, não sejam possíveis de serem medidos por qualquer pose alcançável. Dois casos de estudo são apresentados para testar o desempenho e adaptabilidade deste trabalho. O sistema desenvolvido é capaz de explorar uma determinada cena sobre a qual, inicialmente, não tem informação. A solução apresentada é, não só, adaptável às mudanças no ambiente durante a explora ção, mas também, portável para outros manipuladores que não o utilizado no desenvolvimento.Mestrado em Engenharia Mecânic

    Design and Implementation of Indoor Disinfection Robot System

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    After the outbreak of COVID-19 virus, disinfection has become one of the important means of epidemic prevention. Traditional manual disinfection can easily cause cross infection problems. Using robots to complete disinfection work can reduce people's social contact and block the spread of viruses. This thesis implements an engineering prototype of a indoor disinfection robot from the perspective of product development, with the amin of using robots to replace manual disinfection operations. The thesis uses disinfection module, control module and navigation module to compose the hardware of the robot. The disinfection module uses ultrasonic atomizers, UV-C ultraviolet disinfection lamps, and air purifiers to disinfect and disinfect the ground and air respectively. The control module is responsible for the movement and obstacle avoidance of the robot. The navigation module uses Raspberry Pi and LiDAR to achieve real-time robot positioning and two-dimensional plane mapping. In terms of robot software,we have done the following work: (1) Based on the ROS framework, we have implemented functions such as SLAM mapping, location positioning, and odometer data calibration.(2) Customize communication protocols to manage peripheral devices such as UV-C lights, ultrasonic atomizers, air purifiers, and motors on the control board. (3) Develop an Android mobile app that utilizes ROSBridge's lightweight communication architecture to achieve cross platform data exchange between mobile devices and navigation boards, as well as network connectivity and interaction between mobile phones and robots Finally, this thesis implements an engineering prototype of a household disinfection robot from the perspective of product development
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