This paper describes a low cost autonomous robot platform with an integrated smartphone. The robot is engineered to play robot soccer in the AMiREsot league as well as be used as an educational platform and for resear...
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ISBN:
(纸本)9783319168418;9783319168401
This paper describes a low cost autonomous robot platform with an integrated smartphone. The robot is engineered to play robot soccer in the AMiREsot league as well as be used as an educational platform and for research purposes. The robot's base board includes the electronics required for driving and controlling the motors, accessing the infrared sensors used for object detection and communicating with the smartphone via USB. The smartphone, which has a camera and several integrated sensors, serves as the brain of the robot. The design was focused around low cost and high performance via the integration with a smartphone. Preliminary tests of the platform include object detection and ball following using image processing techniques and the camera of the smartphone. Following testing, it has been concluded that this low cost robot platform with reduced hardware complexity is suitable for education, research and entertainment purposes.
In this paper, a generation of natural dancing motions for a small-sized humanoid robot using a motion editing tool is described. In order to build performances or dancing of a humanoid robot, natural motions and smoo...
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ISBN:
(纸本)9783319168418;9783319168401
In this paper, a generation of natural dancing motions for a small-sized humanoid robot using a motion editing tool is described. In order to build performances or dancing of a humanoid robot, natural motions and smooth movements should be generated. So a motion editing tool to generate specific motions is necessary. We used the proposed motion editing tool to generate robot's motions composed of several steps which are captured from every joint while the robot plays. The motion editing tool generates the continuous motion interpolated between each steps. We developed a small-sized humanoid robot of 44 cm tall to test the generated motions. The robot using the generated motions was demonstrated the natural dancing performance.
The paper presents an affective model for social robotics, where the robot is capable of behavior adaptation, in accordance with the needs and preferences of a particular user. The proposed approach differs from other...
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ISBN:
(纸本)9783319168418;9783319168401
The paper presents an affective model for social robotics, where the robot is capable of behavior adaptation, in accordance with the needs and preferences of a particular user. The proposed approach differs from other studies in human-robot interaction as these usually have been using the 'Wizard of Oz' technique, where a person remotely operates a robot. On the other side, simulated robots are not able of personalized behaviors and behave according to the preprogrammed set of rules. We provide a tool to personalize affective artificial behaviors in cooperative human-robot scenarios, where human emotion recognition, appropriate robotic behavior selection and expression of robotic emotions play a key role. The preliminary experiments show that the personalized affective robotic behavior can achieve better results in a scenario in which a robot motivates children in learning. We believe that human-robot interfaces which mimic how humans interact with one another in an empathic way could ultimately lead to robots being accepted in the wider domain.
The purpose of this study is to propose a novel mobile robot localization method applicable to outdoor environments, such as an uneven terrain. In order to solve the robot localization problem, we exploit state of the...
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ISBN:
(纸本)9783319168418;9783319168401
The purpose of this study is to propose a novel mobile robot localization method applicable to outdoor environments, such as an uneven terrain. In order to solve the robot localization problem, we exploit state of the art graph-based SLAM (Simultaneous Localization and Mapping) algorithm and ICP (Iterative Closest Point) algorithm considering the gyroscopic data as a constraint for a graph structure. We confirm our method by testing actual sensor data acquired from a vehicle in outdoor environments and show that our proposed method is improved and suitable for uneven terrain.
It is worthy to study the motion energy of humanoid robots, but it is not easy to calculate for their complicated dynamics. In this study, the trajectories of voltage and current used in walking are stored to calculat...
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ISBN:
(纸本)9783319168418;9783319168401
It is worthy to study the motion energy of humanoid robots, but it is not easy to calculate for their complicated dynamics. In this study, the trajectories of voltage and current used in walking are stored to calculate actual motion energy for comparing the humanoid robot in different walking gait. Four walking gaits, covering the situation of humanoid robot walking are selected to compare their motion energy. After sorting the walking gait of wasting least motion energy based on experiments, we focus on the study of motion energy influenced by walking gait parameters including pace length, pace height and body location. In addition, a proper experiment is designed to study the energy wasted by humanoid robot join friction. The energy is compared with the walking energy to understand whether it is reasonable that the humanoid robot dynamics often neglect friction force or not.
In recent years, with continuing to enhance the level of social productive forces and perfect the socialist modernization drive, an increase of road traffic, commercial housing, the housing residents, railway and a se...
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In recent years, with continuing to enhance the level of social productive forces and perfect the socialist modernization drive, an increase of road traffic, commercial housing, the housing residents, railway and a series of building construction efforts gradually enhance the technical level of construction machinery operations. And with the rapid development of information society, the requirements in steadily raise the technology level of engineering machinery in the process and strict mechanical engineering technology of intelligent information. To this end, this paper expounds the present situation of technology of mechanical engineering and mechanical engineering technology of intelligent information trend. In the rapid development of the implementation of the western development strategy and modernization, it not only needs the number of engineering machinery demand, also requires a very high technical level of construction machinery. With the development of internationaltechnology, the technical level in mechanical engineering field is also more and more high. In the field of engineering machinery in the world, multi sensor products with modern traditional fusion technology, artificial intelligencetechnology, computer technology, electronic technology, robottechnology, communication technology, the integration of science and technology of network information technology and other high technology content achieve the upgrading of product, so that a higher amount of engineering machinery products with a lot of quality and technical content such as "robot construction technology", "electronic technology", "mechatronics", "automation" and "mechatronics technology" are developed. Therefore, effectively unifying modern high technology and traditional mechanical engineering foundation forms the "information engineering machinery, intelligent engineering machinery", electromechanical liquid light integration of mechanical engineering" and "robotic engineering machin
This paper mainly investigates the obstacle avoidance and dribbling strategy for humanoid soccer robot by using only monocular vision, where the local object is used for positioning and recognizing the obstacles. Then...
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ISBN:
(纸本)9783319168418;9783319168401
This paper mainly investigates the obstacle avoidance and dribbling strategy for humanoid soccer robot by using only monocular vision, where the local object is used for positioning and recognizing the obstacles. Then by the relation between the object and the robot, the position of the robot at the world coordinate could be figured out with the ameliorative particle filter. It would be more robust and perform well for the obstacle avoidance and dribbling strategy to apply the above information. An enhancement scheme of the particle filter is also proposed in the paper. Furthermore, a real-time control strategy is developed for dribbling ball and avoiding obstacles. Finally, experiments verify the accuracy and robustness of the local positioning system, and show the feasibility and validity of the proposed obstacle avoidance and dribbling strategy for humanoid soccer robots.
Path mapping is a very essential part of a mobile robot navigation system. In this work, a novel technique to map and plan path for a mobile service robot without any vision aids in indoor environment using hierarchic...
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ISBN:
(纸本)9783319168418;9783319168401
Path mapping is a very essential part of a mobile robot navigation system. In this work, a novel technique to map and plan path for a mobile service robot without any vision aids in indoor environment using hierarchical state machine with partially known paths is proposed. The known paths are taught to a robot using Learning by Demonstration technique (LfD). The first phase of the algorithm is to map the paths as a hierarchical state machine using the partially known paths. Second phase is to plan the path given the source and destination. The algorithm is implemented and tested using a 2D simulation environment platform, Player/Stage.
This paper proposes real time wireless remote control of robot dual arms and hands using IMUs (Inertial measurement unit). The remote control system is developed for robots to learn various complex tasks from operator...
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ISBN:
(纸本)9783319168418;9783319168401
This paper proposes real time wireless remote control of robot dual arms and hands using IMUs (Inertial measurement unit). The remote control system is developed for robots to learn various complex tasks from operator's demonstration. The control system helps robots to make human-like motion planning directly through operator's demonstration rather than the RRT (Rapidly-Exploring Random Tree) algorithm or the vector field method. To demonstrate the effectiveness of the developed system, experiments are carried out for real time wireless remote control of robot dual arms and hands. The experiment results show that the remote control system operates well enough to teach a robot various human-like complex tasks.
To enhance the performance of affective models and reduce the cost of acquiring physiological signals for real-world applications, we adopt multimodal deep learning approach to construct affective models with SEED and...
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ISBN:
(纸本)9783319466729;9783319466712
To enhance the performance of affective models and reduce the cost of acquiring physiological signals for real-world applications, we adopt multimodal deep learning approach to construct affective models with SEED and DEAP datasets to recognize different kinds of emotions. We demonstrate that high level representation features extracted by the Bimodal Deep AutoEncoder (BDAE) are effective for emotion recognition. With the BDAE network, we achieve mean accuracies of 91.01% and 83.25% on SEED and DEAP datasets, respectively, which are much superior to those of the state-of-the-art approaches. By analysing the confusing matrices, we found that EEG and eye features contain complementary information and the BDAE network could fully take advantage of this complement property to enhance emotion recognition.
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