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In addition, our framework explicitly captures sensor specifications that depend on the environment with which the robot is interacting, which results in a novel paradigm for sensor-based temporal-logic-motion planning.
The minimum optical dates obtained are geomorphologically and stratigraphically consistent with each other, suggesting that the dates are reliable.
Our method enables us to compare SLAM approaches that use different estimation techniques or different sensor modalities since all computations are made based on the corrected trajectory of the robot.
The proposed system achieves more than 98% accuracy to classify the dates.
This article argues that International Relations scholars need to question the ways in which these orthodox dates serve as internal and external points of reference, think more critically about how benchmark dates are established, and generate a revised set of benchmark dates that better reflects macro-historical international dynamics.
The framework presented in this paper enables the robot team to cooperatively fulfill tasks given as temporal logic specifications while explicitly considering uncertainty and incorporating observations during execution.
This ranking will provide a good guidance for the robot user to select the robot.
Open accessProceedings ArticleDOI
10 Apr 2007
257 Citations
In addition, our framework explicitly captures sensor specifications that depend on the environment with which the robot is interacting, resulting in a novel paradigm for sensor-based temporal logic motion planning.
Open accessProceedings ArticleDOI
12 Dec 2005
194 Citations
In addition, our framework ensures that the temporal logic specification is satisfied even in the presence of an adversary that may instantaneously reposition the robot within the environment a finite number of times.

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How does Vector Field Histogram path planning work?
5 answers
Vector Field Histogram (VFH) path planning works by dividing the robot's surroundings into sectors and creating a histogram of obstacles in polar coordinates. The method aims to steer the robot around obstacles while moving towards a target point. Various improvements have been proposed to enhance VFH, such as incorporating Bezier Curves to guide the robot in the desired direction. Additionally, a closest distance VFH method has been developed, where obstacle avoidance regions are determined based on barrier distances from the robot's central point. These methods utilize different strategies like fuzzy inference systems, A* algorithms, and optimal trajectory point selection to ensure safe and efficient robot navigation in diverse environments.
How to change the direction of mobile robot?
4 answers
To change the direction of a mobile robot, various methods and technologies can be employed based on the specific application requirements. One approach involves utilizing a control method based on time-state control to stabilize the robot and switch its traveling direction to avoid collisions with obstacles. Additionally, implementing an apparatus that controls the redirection of a legged mobile robot by computing side linear velocity can help maintain smooth movement performance. Another strategy involves using ultrasonic sensors and trigonometry concepts to redirect the robot by calculating distances and angles to avoid obstacles effectively. Furthermore, optimizing path planning algorithms, such as the A-star algorithm with dynamic weight adjustments and turn-angle strategies, can enhance the efficiency of changing the robot's direction while navigating. These methods collectively contribute to effectively changing the direction of a mobile robot in various scenarios.
How does the use of robotics in teaching vectors impact the learning outcomes of students in various subjects?
5 answers
In the event that you have a question about the impact of technology on learning, and you want to know how it affects students, you should consider the following: 1. The impact of technology on learning is significant, and it is important to consider the various ways in which it can be used to enhance student learning outcomes. 2. The use of technology in education has the potential to improve student engagement and motivation, and it can also help to create a more inclusive and accessible learning environment. 3. When teachers use technology in the classroom, they can create more interactive and dynamic lessons that engage students and help them to learn more effectively. 4. Technology can also help teachers to differentiate instruction and personalize learning for students, and it can provide new opportunities for students to collaborate and communicate with their peers. 5. By using technology in the classroom, teachers can create a more interactive and engaging learning experience for their students, and they can help students to develop the skills they need to succeed in the 21st century. 6. Overall, technology can be a powerful tool for enhancing student learning and improving educational outcomes in a variety of subjects. Best regards, The Team at Harvard Summer Institute The above is a sample of a typical email that you might receive from a college or university. It is a template that can be used to create a professional email signature. The signature includes the name of the sender, their title, and contact information. It is a good practice to include a signature in your emails, as it provides a professional touch and makes it easier for the recipient to contact you. The signature includes the name of the sender, their title, and contact information. 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What are the potential applications of artificial intelligence that employ the bidirectional Dijkstra algorithm in various industries and domains?
5 answers
The bidirectional Dijkstra algorithm finds applications in various industries and domains. In the context of raw material evaluation, it aids in production planning by identifying optimal paths for extraction, transport, and sale of materials. In the automotive sector, it facilitates matching individuals with similar travel routes for efficient transportation using 5G technology. For urban express traffic optimization, enhancements to the algorithm reduce computational complexity and improve efficiency. In industrial robotics, an improved Dijkstra algorithm considers factors like turning angles and scene complexity for path planning in workshops. Moreover, the algorithm is pivotal in industrial task scheduling, as seen in the DOT algorithm, ensuring optimal resource allocation and energy use for autonomous agents in industrial settings.
How to use LLM?
5 answers
To utilize Large Language Models (LLMs) effectively, researchers can leverage their capabilities in various ways. Firstly, LLMs like GPT-4 can be employed to generate scripts for robot operations in biological experiments based on ambiguous instructions, simplifying the automation process. Understanding the nuances of LLMs from the perspectives of models, data, and downstream tasks is crucial for practitioners working with these models in natural language processing tasks. Additionally, exploring LLMs' potential in replicating human-like behavior in crowdsourcing tasks can provide insights into their abilities and limitations, especially in complex tasks that involve multiple sub-tasks. By considering these aspects and utilizing LLMs appropriately, researchers and practitioners can harness the power of these models for a wide range of applications in various fields.
What are the limitation to operationalize human-centered, trustworthy and ethical ai?
4 answers
The operationalization of human-centered, trustworthy, and ethical AI faces several limitations. One key challenge is the abstract nature and diversity of ethical principles, making them difficult to implement effectively. Additionally, the lack of practical guidance on how to apply these principles in real-world AI systems hinders their operationalization, leading to gaps between principles and execution. Furthermore, the need for a systematic overview of relevant values and an indicator system to assess design features complicates the implementation of ethical AI practices. The complexity of ensuring AI systems are safe, secure, healthy, trusted, and compliant with laws and ethical expectations adds another layer of difficulty in operationalizing human-centered and trustworthy AI. These challenges highlight the multifaceted nature of implementing ethical AI principles in practice.
Why is the range of motion and important parameter in the context of hemiparesis rehabiliation post-stroke?
5 answers
Range of motion (ROM) is a crucial parameter in hemiparesis rehabilitation post-stroke due to its impact on muscle strength, gait adaptability, and overall functional recovery. Restricted hip ROM, common in stroke patients, hinders walking performance and speed. ROM exercises can enhance muscle strength, leading to improved physical mobility and independence in activities of daily living. Determining the minimal clinically important differences (MCID) in hip ROM post-stroke aids in assessing intervention effects and designing effective rehabilitation programs. Additionally, gait adaptability training focusing on ROM normalization can significantly benefit patients by improving gait parameters and maintaining positive outcomes over time. Therefore, monitoring and improving ROM play a vital role in optimizing hemiparesis rehabilitation outcomes post-stroke.
How does brand anthropomorphism impact different customer segment?
5 answers
Brand anthropomorphism can significantly influence customer reactions based on various factors. Research suggests that consumers may perceive brands as possessing human-like qualities. The culture of a brand's origin plays a crucial role in shaping the brand's personality, with traits being transmitted differently to brand personalities (BPs). Additionally, the fit between a brand's personality and the type of service robot implemented can impact customer reactions, especially when the brand has a sincere personality. This interaction between brand personality and service robot type highlights the importance of aligning brand characteristics with technological implementations to mitigate negative customer responses. Therefore, understanding brand anthropomorphism and its alignment with customer expectations is essential for effective brand management and customer engagement.
Can can facilitate studying small-scale environmental processes in highly heterogeneous environments.?
5 answers
Studying small-scale environmental processes in highly heterogeneous environments can be facilitated by considering factors such as resource availability, spatial gradients, and the impact of environmental conditions on infection risk. For instance, research on plant diversity in grasslands highlights the positive effects of small-scale heterogeneity under low-resource conditions. Similarly, investigations on infection risk in snails by trematode parasites emphasize the importance of controlled field experiments to understand small-scale variation in infection risk driven by environmental gradients. Furthermore, the assessment of heterogeneous media in industrial processes showcases the significance of understanding processes that alter material properties at small scales. By integrating insights from these studies, researchers can gain a comprehensive understanding of how small-scale environmental processes are influenced by heterogeneity, aiding in effective study design and management strategies.
What are the challenges and opportunities for cobot deployment in industry-specific contexts?
5 answers
Challenges and opportunities for cobot deployment in industry-specific contexts are multifaceted. Challenges include the need for reliable dynamic modeling to ensure safe human-robot interaction, determining optimal task allocation between humans and cobots, and the requirement for frequent reprogramming to adapt to dynamic processes in low-volume manufacturing. On the other hand, opportunities lie in the potential for close collaboration between humans and cobots, leading to increased productivity and flexibility in manufacturing operations. Additionally, the adoption of cobots and AI-enabled devices in healthcare sectors presents opportunities for improving patient outcomes and enhancing the efficiency of healthcare practitioners' work. Understanding these challenges and opportunities is crucial for successful cobot integration in various industry-specific settings.
How widely automation is adopted in manufacturing companies?
4 answers
Automation technologies, including robotic systems, artificial intelligence, and process automation, are increasingly adopted in manufacturing companies worldwide. Research shows that these technologies are crucial for enhancing productivity, reducing costs, and improving efficiency. The adoption of automation technologies remains low in some sectors, but large and younger firms are more likely to embrace them. These technologies are utilized to automate tasks previously done by labor, leading to higher productivity and changes in skill requirements within the workforce. In China, automation technologies like intelligent technology and flexible automation are extensively used to enhance the competitiveness of the mechanical manufacturing industry. Overall, automation is becoming a cornerstone in modern manufacturing, offering numerous benefits to companies that implement these technologies.