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How to convert string to JSON in Robot Framework? 

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The programming framework employs robot capabilities as abstractions and thereby facilitates intuitive use and extensibility.
Proceedings ArticleDOI
Markus Lanthaler, Christian Gütl 
17 Apr 2012
142 Citations
Since JSON-LD is 100% compatible with traditional JSON, developers can continue to use their existing tools and libraries.
We find that the framework is suitable for implementation on a mobile robot for its envisioned purpose.
Proceedings ArticleDOI
P. Nilas, T. Sueset, K. Muguruma 
01 Dec 2004
24 Citations
The initial results are encouraging and demonstrate the capabilities of such a human-robot framework.
Proceedings ArticleDOI
Boci Lin, Yan Chen, Xu Chen, Yingying Yu 
11 Aug 2012
54 Citations
Results show that JSON is more suitable as a data-loading tool for Ajax applications.
The results show that the robot was able to play the game in a manner similar to how a human plays the game.
In this paper, the authors propose human-robot integration as a mechanism to augment/improve the robot autonomy in daily scenarios.
Proceedings ArticleDOI
Y. Kanayama, M. Onishi 
09 Apr 1991
11 Citations
These concepts are robot independent and can be applied to the kernel of any high-level mobile robot language in the future.
Book ChapterDOI
24 Nov 2011
43 Citations
Due to its effective representation of a human teacher in a robot, students show great interest on the robot and feel comfortable learning English with the teleoperated robot.

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Automatic slitting and roller pressing machines offer significant advantages in the manufacturing industry, including increased efficiency, precision, and reduced labor costs. These machines help in achieving standard quality products by avoiding repetitive tasks and ensuring accurate cutting and shaping. However, challenges such as high initial costs for CNC machines and the need for skilled labor to operate them can be considered as disadvantages. Additionally, the forging and forming industry faces resistance to automation due to small batch sizes and challenging operating conditions, which can hinder the implementation of automated processes. Despite these challenges, the automation of manufacturing processes through advanced technologies like robots and automated systems can lead to improved productivity, reduced errors, and overall cost savings in the long run.
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The application of recycled materials positively impacts the learning process of fourth-grade students in primary education by enhancing their creativity, environmental awareness, and engagement. Utilizing recycled waste products in teaching materials can improve students' attitudes towards environmental care. Additionally, incorporating recycled materials in educational activities, such as creating recycled artworks, can significantly boost students' creativity and problem-solving skills. Furthermore, involving students in recycling waste through play activities can enhance their mathematical understanding, logical abilities, and confidence, ultimately fostering a deeper connection between abstract concepts and real-world applications. Overall, integrating recycled materials into the learning process not only promotes sustainability but also enriches students' educational experiences by making learning more engaging and relevant to their daily lives.
How does breadth first search path planning worksearch?
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Breadth First Search (BFS) is a path planning algorithm used to determine the shortest route in a graph or grid. It starts at a given node and explores all its neighboring nodes before moving to the next level of nodes. This process continues until the goal node is reached. BFS is commonly used in various applications such as robot path planning, transport routing, and game playing. It can efficiently compute shortest paths, but neural networks have the potential to adapt these sub-routines to more complex tasks. Researchers have developed hand-coded and learned models for BFS using the framework of Neural Cellular Automata (NCA). These models have been trained to solve the diameter problem on grid mazes and have exhibited strong generalization ability.
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Existing navigation assistive technologies for visually impaired individuals, particularly in the form of mobile applications, have shown to be effective in improving the quality of life for this population. These technologies utilize advancements in navigation tools, such as floor segmentation techniques and vision-language models, to provide audio information about the user's location, distance from objects, and obstacle avoidance. The use of mobile apps like Dot Walker, Nearby Explorer, Get There, and Google Maps has become common among visually impaired individuals. Collaboration among healthcare professionals, caregivers, programmers, engineers, and policymakers is crucial for the successful development of these navigation projects. However, there is still room for improvement in terms of accuracy, safety, and the development of new and improved smart assistant applications. Overall, continued development in navigation-assisted applications has the potential to significantly benefit the visually impaired community.
Are there robots taking pictures autonomously interaction?
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Yes, there are robots that can take pictures autonomously during interactions. One study proposes a robot photographer system that autonomously searches for the optimal photographing viewpoint based on aesthetic composition evaluation and observing viewpoint selection. Another paper presents a robotic system that can navigate autonomously, follow a line, and take good quality pictures of people. The system uses a two-stage algorithm to estimate the quality of each picture, including features such as face orientation and facial emotions. Additionally, a research paper describes a robotic system called Sense-Think-Act, which enables a humanoid robot to play games autonomously with children in real-world school settings. Another paper describes a Robotic Photo booth that uses sensor data to analyze the environment, find human subjects, and produce desirable visual art autonomously. Finally, a system based on a low-cost Turtlebot platform is presented, which autonomously moves around a crowd, avoids collisions, and takes pictures while applying rules of photograph composition.
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