scispace - formally typeset
Search or ask a question

Answers from top 7 papers

More filters
Papers (7)Insight
Exploration plans derived from the enhanced occupancy map are more efficient and complete in that they do not guide the robot around phantom obstacles nor incorrectly classify narrow openings as closed commonly found in conventional occupancy maps.
We show that these maps can be used for semantic robot localization.
Experiments carried out with a real mobile robots demonstrates that this proposed approach yields useful maps for robot autonomous navigation.
The experiments indicate that our method improves the ability of a robot to explore challenging environments and improves the quality of the resulting maps.
Open accessProceedings ArticleDOI
10 Jul 1999
20 Citations
This paper addresses the applicability of neural maps to mobile robot navigation with focus on efficient implementations It is suggested that neural maps offer a promising alternative compared to the traditional distance transform and harmonic function methods.
Journal ArticleDOI
Ashley Tews, Gordon Wyeth 
01 Jan 2000-Advanced Robotics
33 Citations
This paper describes MAPS and demonstrates it as a viable coordination system for use in multiple robot domains.
Experimental results show that the proposed algorithm can merge individual robot maps much more accurately than the existing algorithms.

See what other people are reading

How attention and selective filtering impact perception in park?
5 answers
Attention and selective filtering play crucial roles in shaping perception in various contexts. By utilizing perceptual attention, which enhances relevant information while filtering out irrelevant details, robots can efficiently manage computing resources for tasks like navigation and recognition. In cognitive aging, attention is viewed as a distributed resource, with perceptual attention originating in posterior sensory subsystems to filter out unattended input early in the processing cycle. Studies on attention sets reveal that attention can be category-based, focusing on relations or categories rather than individual features of objects, impacting the likelihood of noticing unexpected events. Additionally, selective attention filters like the Selective Attention Filter (SAF) can enhance relevant information and filter out irrelevant pixels in complex map images, improving classification results.
How do autonomous systems impact the efficiency and cost-effectiveness of cafe operations?
5 answers
Autonomous systems in cafes significantly enhance efficiency and cost-effectiveness. These systems, such as the Automatic Café Management System (ACMS) based on the Internet of Things (IoT), unmanned automation cafe booth systems, and low-cost automatic cafe management systems utilizing waiter robots, streamline operations by automating tasks like order processing, coffee brewing, and food serving. They reduce the need for human intervention, minimizing errors and increasing operational efficiency. Additionally, autonomous coffee machines like the Bitbarista not only automate coffee consumption processes but also provide provenance data, aiming to cut intermediaries in the coffee trade. By leveraging technologies like smart contracts and distributed ledgers, these systems optimize cafe workflows, enhance customer experiences, and ultimately drive down operational costs.
How employment is affected by lithium ion battery assembling project for EV?
5 answers
The employment impact of lithium-ion battery assembling projects for electric vehicles (EVs) is significant. The transition to electric vehicles requires a rapid expansion of global battery production, potentially creating employment opportunities for a large global workforce with specific knowledge and skillsets. Establishing battery production facilities may require the employment of 400,000 to 1 million individuals over the next 30 years, highlighting the need for skilled workers to manage the transition. Additionally, the development of novel battery technologies could influence the demand for labor in production and recycling facilities, emphasizing the uncertainty surrounding the employment and investment required in this sector. Overall, the growth in battery production for EVs presents a substantial opportunity for job creation and skill development in the global economy.
What is the future of robotics system in warehouses?
5 answers
The future of robotics systems in warehouses is promising, with advancements aimed at enhancing efficiency and automation. Industry 4.0 introduces smart robotics systems for intelligent warehouse automation, utilizing AI-based path planning algorithms like RRT, RRT*, and A* for efficient navigation. Cable-driven parallel robots offer a feasible alternative for inventory management, integrating actuation, camera stabilization, and computer vision for scanning storage racks accurately. Additionally, AGVs equipped with RFID technology are revolutionizing warehouse operations by automatically locating and retrieving goods based on real-time data, improving management and storage processes significantly. These innovations signify a shift towards more adaptive, scalable, and fault-tolerant warehouse automation systems, ensuring increased productivity and streamlined operations in the future.
How do wind turbines impact bats?
5 answers
Wind turbines impact bats by causing mortality, with factors like turbine power, land cover type, and distance from water influencing the deaths. Studies show that bat deaths are associated with specific turbine characteristics, such as power, and the surrounding land cover within a 5 km buffer. Innovative technologies like drone-mounted deterrent devices emitting auditory and visual signals aim to reduce bat mortality by deterring them from rotor-swept airspace. Research in forested areas indicates that forest-dwelling bats, particularly narrow-space foragers, exhibit avoidance behavior towards wind turbines, leading to habitat loss for these protected species. The impact of wind turbines on bats varies across different bat foraging guilds, with narrow-space foragers showing the most significant response to turbine presence in forests.
Does deep breathing create positive effect on peoples mental health?
5 answers
Deep breathing has been shown to have positive effects on mental health. Research indicates that deep breathing interventions can lead to improvements in mental health outcomes. Studies have demonstrated that deep breathing practices, even when facilitated by innovative tools like robots, can significantly reduce anxiety levels and enhance feelings of focus and companionship. Furthermore, the duration of mindful deep breathing sessions plays a role in shifting the autonomic nervous system, with longer durations correlating with greater reductions in depression and activation of the parasympathetic nervous system. These findings highlight the potential of deep breathing techniques, including trauma-informed interventions in schools, to positively impact mental health and well-being.
What is the impact of welding control on the quality and efficiency of the welding process?
5 answers
Welding control systems play a crucial role in enhancing the quality and efficiency of the welding process. By utilizing advanced technologies such as signal processing and real-time control, welding control systems can significantly improve the reliability of welds and reduce defects. Implementing optimal welding strategies and utilizing detection modules can lead to better welding paths and increased control accuracy. Moreover, through the identification of defects and their causes, actions can be taken to reduce defects, increase production efficiency, and lower costs. Additionally, by automating welding processes based on precise parameters determined through mapping relationships, welding control methods can simplify operations, improve accuracy, and enhance efficiency.
What are the positive impact of Autonomous Aircraft in terms of Innovation and Development for Aerospace Engineers?
5 answers
Autonomous aircraft technology has significant positive impacts on innovation and development for aerospace engineers. It enables the testing and validation of control algorithms for autonomous missions, enhancing security and defense capabilities. The convergence of computer science and aerospace engineering is crucial to bridge the gap between academia and industry needs, ensuring international superiority in aerospace autonomy. Intelligent automation and autonomy advancements in aerospace engineering systems, inspired by biologically-inspired architectures, offer innovative solutions for next-generation air transport systems. Cyber-Physical Systems research has been instrumental in advancing autonomous aerospace systems, providing robustness, agility, and performance guarantees in safety-critical applications. Additionally, using nanosatellites and autonomous vehicles as educational platforms fosters technical, social, and leadership skills in students, contributing to career development in aerospace engineering.
How do large language models perform on logging and error aggregation?
5 answers
Large language models (LLMs) like GPT-4 exhibit promising performance in analyzing ROS 2 logs from autonomous robots, categorizing them into StartUp, Warning, and PDDL aspects. Additionally, LLMs, including GPT-4, are evaluated for their ability to solve math word problems step by step and calculate arithmetic expressions accurately, showcasing their chain-of-thought capabilities. However, while LLMs like ChatGPT efficiently provide information to users, they may reduce publicly available human-generated data by serving as substitutes for online help sources like Stack Overflow, leading to a decrease in activity on such platforms. This shift towards LLMs for information-seeking purposes may impact the availability of open data for future models and users.
What are the effects of natural forest edge habitat fragmentation on wildlife populations?
5 answers
Natural forest edge habitat fragmentation has significant impacts on wildlife populations. Studies show that fragmentation reduces species diversity, tree size, and structural diversity. For endangered species like the Marbled Murrelet, habitat fragmentation negatively affects breeding distribution, with effects amplified near the species' nesting range edge. Edge-effects influence ecological communities, species richness, and genetic diversity, with populations closer to edges having lower genetic diversity. In the case of wild boar populations, habitat fragmentation shapes African Swine Fever (ASF) transmission, with fragmented habitats limiting disease spread but prolonging epidemic duration. Implementing a stepping stone strategy can help maintain connectivity and support habitat recovery for endangered wildlife in montane regions affected by fragmentation. These findings emphasize the critical need for conservation efforts to address the detrimental effects of natural forest edge habitat fragmentation on wildlife populations.
What are the primary types of buildings that consume the most energy?
4 answers
Residential and commercial buildings are the primary types that consume the most energy. Residential buildings consumed 20.4 quads, while commercial buildings consumed 17.7 quads in 2012, totaling 40% of national energy consumption. In terms of energy usage intensity, space heating, area lights, and equipment are the major contributors to energy consumption in buildings. Additionally, the operational phase of buildings, particularly space heating, cooking, electrical appliances, and domestic hot water, significantly impacts global greenhouse gas emissions. The lack of occupancy information and precise measurement methods contribute to the challenge of optimizing energy consumption in buildings. Retrofitting strategies, such as envelope retrofitting and lighting improvements, play a crucial role in enhancing energy efficiency in different building types.