Most traffic accidents are caused by drivers' carelessness and lack of information about the surrounding objects. In this paper, authors develop Information Presentation Support System of a Car robotics System bas...
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ISBN:
(纸本)9787121113154
Most traffic accidents are caused by drivers' carelessness and lack of information about the surrounding objects. In this paper, authors develop Information Presentation Support System of a Car robotics System based on humatronics. The main purpose of humatronics is to establish the symmetric interaction between human and electronics system, by giving the system the capability of understanding human. The Car robotics System based on humatronics is used in this research. This Car robotics System is developed on human centered city. And the city is based on humatronics, too. In this city, systems judge the situation and autonomously support human. A car recognizes driver's intention by this Car robotics System, and acquires environmental information by connecting to the network of the human centered city's system. The environmental information is divided into two parts: Foreground information and Background information. Authors develop Information Presentation Support System which presents Foreground information and Background information. Driver is supported by the System. Which can be used to predict the driving reaction beforehand and send a warning signal to the driver in time.
Adaptation of dated residential towers is an urgent issue due to aging housing infrastructure and growing demand for affordable housing. computational design methodologies have the potential for facilitating optimized...
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This paper presents a data collection solution in a hybrid architecture of mobile devices and sensors. The mechanism for the interpretation and validation of information will be presented as well as the structure of t...
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This document describes a novel low-cost methodology called "Towards and Tangent" for point to point navigation in robotics systems. The system navigates in an unknown environment, and it avoids obstacles to...
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ISBN:
(纸本)9781665404693
This document describes a novel low-cost methodology called "Towards and Tangent" for point to point navigation in robotics systems. The system navigates in an unknown environment, and it avoids obstacles to reach the desired point, using only laser range sensor, without any integration with mems or another kind of data. It is composed by two simple steps: head toward the goal and select the direction with the lower angle to overcome the obstacle. In this way, compared to the state of the art algorithms, it requires less computational resources, since it does not need to detect obstacles discontinuities and do not need to follow an obstacle's boundaries. Moreover, a simple state machine can handle both obstacle avoidance and point to point navigation. Even if the system is easy to implement and requires low resources, it reaches high performances, in line with more sophisticated algorithms and works very well in real-time.
This paper presents KRIS, a semi-autonomous robot developed for material transport in disaster relief situations. In collaboration with the German Federal Agency for Technical Relief (THW) and the German Research Cent...
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ISBN:
(纸本)9798331510961;9798331510954
This paper presents KRIS, a semi-autonomous robot developed for material transport in disaster relief situations. In collaboration with the German Federal Agency for Technical Relief (THW) and the German Research Center for Artificial intelligence (DFKI), KRIS addresses the limitations of manual transport in hazardous environments. The robot is designed for enhanced mobility in rough terrain, featuring modes such as manual control, gesture-based person-following, and autonomous shuttle operation. The system is equipped with advanced sensors, including LiDAR and RGB-D cameras, and employs AI-driven gesture recognition for hands-free operation. Two field tests evaluated KRIS's usability in realistic disaster settings, demonstrating its ability to transport heavy equipment while reducing physical strain on rescue personnel. The findings highlight the potential of KRIS to improve efficiency and safety in disaster relief operations.
Cracks are one of the significant criteria utilized for diagnosing the disintegration of solid structures. Normally, a structural designer with specific information would assess such structures by checking for breaks ...
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Augmenting a robot with the capacity to understand the activities of the people it collaborates with in order to then label and segment those activities allows the robot to generate an efficient and safe plan for perf...
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ISBN:
(纸本)9781538660263
Augmenting a robot with the capacity to understand the activities of the people it collaborates with in order to then label and segment those activities allows the robot to generate an efficient and safe plan for performing its own actions. In this work, we introduce an online activity segmentation algorithm that can detect activity segments by processing a partial trajectory. We model the transitions through activities as a hidden Markov model, which runs online by implementing an efficient particle-filtering approach to infer the maximum a posteriori estimate of the activity sequence. This process is complemented by an online search process to refine activity segments using task model information about the partial order of activities. We evaluated our algorithm by comparing its performance to two state-of-the-art activity segmentation algorithms on three human activity datasets. The proposed algorithm improved activity segmentation accuracy across all three datasets compared with the other two approaches, with a range from 11.3% to 65.5%, and could accurately recognize an activity through observation alone for 31.6% of the initial trajectory of that activity, on average. We also implemented the algorithm onto an industrial mobile robot during an automotive assembly task in which the robot tracked a human worker's progress and provided the worker with the correct materials at the appropriate time.
The research presented in this paper introduces a novel method for Augmented Reality informed human-machine collaboration in the context of timber prefabrication. The concept is based on the craftsman controlled instr...
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This paper defines PT'-resolution which is the integration of PT-resolution and approximate reasoning. PT-resolution is a deduction method based on partial intersection and truncation. The integration enables the ...
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This paper defines PT'-resolution which is the integration of PT-resolution and approximate reasoning. PT-resolution is a deduction method based on partial intersection and truncation. The integration enables the deduction to handle quantitative data in an approximate manner. It is proved that the PT'-resolution is consistent with PT-resolution.
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