Bibliografías temáticas / Robotics-inspired algorithms

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Literatura académica sobre el tema "Robotics-inspired algorithms"

Autor: Grafiati
Publicado: 9 de noviembre de 2024
Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Robotics-inspired algorithms"

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Hu, Jinming. "Bridging Neuroscience and AI: A Comprehensive Investigation of Brain-Inspired Computing Models." ITM Web of Conferences 73 (2025): 03001. https://doi.org/10.1051/itmconf/20257303001.

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Artificial Intelligence (AI) has reached new heights, supported by advancements in hardware and algorithm theory. Areas like robotics and autonomous driving have made significant strides, but brain-inspired computing remains a distinctive field. Although there were early hopes of AI closely connecting with brain science, this integration has been minimal. Neuroscience has mostly inspired some early algorithms, while most neural networks only adopted the idea of neuron connections without fully replicating real neural signals. However, brain-inspired algorithms, such as Spiking Neural Networks
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Mir, Imran, Faiza Gul, Suleman Mir, et al. "Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective." Biomimetics 8, no. 3 (2023): 294. http://dx.doi.org/10.3390/biomimetics8030294.

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This study proposes an adaptable, bio-inspired optimization algorithm for Multi-Agent Space Exploration. The recommended approach combines a parameterized Aquila Optimizer, a bio-inspired technology, with deterministic Multi-Agent Exploration. Stochastic factors are integrated into the Aquila Optimizer to enhance the algorithm’s efficiency. The architecture, called the Multi-Agent Exploration–Parameterized Aquila Optimizer (MAE-PAO), starts by using deterministic MAE to assess the cost and utility values of nearby cells encircling the agents. A parameterized Aquila Optimizer is then used to fu
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Gutiérrez, Álvaro. "Recent Advances in Swarm Robotics Coordination: Communication and Memory Challenges." Applied Sciences 12, no. 21 (2022): 11116. http://dx.doi.org/10.3390/app122111116.

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Du, Fengze. "Research of Bio-Inspired Motion Control in Robotics." Transactions on Computer Science and Intelligent Systems Research 5 (August 12, 2024): 378–84. http://dx.doi.org/10.62051/ay9zws79.

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Bio-inspired motion control in robotics draws inspiration from biological systems to enhance the movement capabilities of robots. This article explores the integration of bionics techniques in robots’ path planning, motion control, and design of moving parts, offering advantages over traditional robots control systems. In path planning, bio-inspired approaches, such as swarm intelligence algorithms and artificial neural networks, optimize trajectories and enable obstacle avoid ability in complex environments. Furthermore, bio-inspired design principles facilitate the creation of motion compone
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Latif, Rachid, Kaoutar Dahmane, Monir Amraoui, Amine Saddik, and Abdelouahed Elouardi. "Evaluation of Bio-inspired SLAM algorithm based on a Heterogeneous System CPU-GPU." E3S Web of Conferences 229 (2021): 01023. http://dx.doi.org/10.1051/e3sconf/202122901023.

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Localization and mapping are a real problem in robotics which has led the robotics community to propose solutions for this problem... Among the competitive axes of mobile robotics there is the autonomous navigation based on simultaneous localization and mapping (SLAM) algorithms: in order to have the capacity to track the localization and the cartography of robots, that give the machines the power to move in an autonomous environment. In this work we propose an implementation of the bio-inspired SLAM algorithm RatSLAM based on a heterogeneous system type CPU-GPU. The evaluation of the algorith
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Araujo-Neto, Wolmar, Leonardo Rocha Olivi, Daniel Khede Dourado Villa, and Mário Sarcinelli-Filho. "Data Fusion Applied to the Leader-Based Bat Algorithm to Improve the Localization of Mobile Robots." Sensors 25, no. 2 (2025): 403. https://doi.org/10.3390/s25020403.

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The increasing demand for autonomous mobile robots in complex environments calls for efficient path-planning algorithms. Bio-inspired algorithms effectively address intricate optimization challenges, but their computational cost increases with the number of particles, which is great when implementing algorithms of high accuracy. To address such topics, this paper explores the application of the leader-based bat algorithm (LBBA), an enhancement of the traditional bat algorithm (BA). By dynamically incorporating robot orientation as a guiding factor in swarm distribution, LBBA improves mobile ro
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Verma, Jyotsna, and Nishtha Kesswani. "A Review on Bio-Inspired Migration Optimization Techniques." International Journal of Business Data Communications and Networking 11, no. 1 (2015): 24–35. http://dx.doi.org/10.4018/ijbdcn.2015010103.

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Nature inspired computing techniques has become a very popular topic in recent years. Number of applications in computer networks, robotics, biology, combinatorial optimization, etc. can be seen in literatures which are based on the bio-inspired techniques. Nature inspired techniques are proven to solve complex optimization problems irrespective of their problem size. This review summarizes various nature inspired migration algorithms and comparison between them, based on the automated tools, evolutionary techniques and applications.
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Kumar, Suresh, and Patricia Sha. "Human Brain inspired Artificial Intelligence & Developmental Robotics: A Review." Sukkur IBA Journal of Computing and Mathematical Sciences 1, no. 1 (2017): 43. http://dx.doi.org/10.30537/sjcms.v1i1.6.

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Along with the developments in the field of the robotics, fascinating contributions and developments can be seen in the field of Artificial intelligence (AI). In this paper we will discuss about the developments is the field of artificial intelligence focusing learning algorithms inspired from the field of Biology, particularly large scale brain simulations, and developmental Psychology. We will focus on the emergence of the Developmental robotics and its significance in the field of AI.
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Muhsen, Dena Kadhim, Ahmed T. Sadiq, and Firas Abdulrazzaq Raheem. "A Survey on Swarm Robotics for Area Coverage Problem." Algorithms 17, no. 1 (2023): 3. http://dx.doi.org/10.3390/a17010003.

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The area coverage problem solution is one of the vital research areas which can benefit from swarm robotics. The greatest challenge to the swarm robotics system is to complete the task of covering an area effectively. Many domains where area coverage is essential include exploration, surveillance, mapping, foraging, and several other applications. This paper introduces a survey of swarm robotics in area coverage research papers from 2015 to 2022 regarding the algorithms and methods used, hardware, and applications in this domain. Different types of algorithms and hardware were dealt with and a
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Pasupuleti, Murali Krishna. "Swarm Robotics for Autonomous Construction in Hazardous Zones." International Journal of Academic and Industrial Research Innovations(IJAIRI) 05, no. 06 (2025): 78–88. https://doi.org/10.62311/nesx/rphcrefra3.

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This research investigates the application of swarm robotics for autonomous construction in hazardous zones such as disaster-hit areas, conflict zones, and nuclear or chemically contaminated regions. The study is motivated by the need for safe, scalable, and decentralized construction approaches where human intervention is either impractical or unsafe. A swarm of autonomous robots is modeled to perform distributed tasks including site mapping, material transportation, and structural assembly. The behavior of the swarm is governed by bio-inspired algorithms such as ant colony optimization and a
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Tesis sobre el tema "Robotics-inspired algorithms"

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Denarie, Laurent. "Robotics-inspired methods to enhance protein design." Phd thesis, Toulouse, INPT, 2017. http://oatao.univ-toulouse.fr/18677/1/Denarie.pdf.

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The ability to design proteins with specific properties would yield great progress in pharmacology and bio-technologies. Methods to design proteins have been developed since a few decades and some relevant achievements have been made including de novo protein design. Yet, current approaches suffer some serious limitations. By not taking protein’s backbone motions into account, they fail at capturing some of the properties of the candidate design and cannot guarantee that the solution will in fact be stable for the goal conformation. Besides, although multi-states design methods have been propo
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Northcutt, Brandon D. "Biologically Inspired Algorithms for Visual Navigation and Object Perception in Mobile Robotics." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/612074.

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There is a large gap between the visual capabilities of biological organisms and visual capabilities of autonomous robots. Even the most simple of flying insects is able to fly within complex environments, locate food, avoid obstacles and elude predators with seeming ease. This stands in stark contrast to even the most advanced of modern ground based or flying autonomous robots, which are only capable of autonomous navigation within simple environments and will fail spectacularly if the expected environment is modified even slightly. This dissertation provides a narrative of the author's gradu
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Kachurka, Viachaslau. "Contribution à la perception et l’attention visuelle artificielle bio-inspirée pour acquisition et conceptualisation de la connaissance en robotique autonome." Thesis, Paris Est, 2017. http://www.theses.fr/2017PESC1072/document.

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La présente thèse du domaine de la « Perception Bio-inspirée » se focalise plus particulièrement sur l’Attention Visuelle Artificielle et la Saillance Visuelle. Un concept de l’Attention Visuelle Artificielle inspiré du vivant, conduisant un modèle d’une telle attention artificielle bio-inspirée, a été élaboré, mis en œuvre et testé dans le contexte de la robotique autonome. En effet, bien qu’il existe plusieurs dizaines de modèles de la saillance visuelle, à la fois en termes de contraste et de cognition, il n’existe pas de modèle hybridant les deux mécanismes d’attention : l’aspect visuel et
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Labella, Thomas Halva. "Division of labour in groups of robots." Doctoral thesis, Universite Libre de Bruxelles, 2007. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210738.

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In this thesis, we examine algorithms for the division of labour in a group of robot. The algorithms make no use of direct communication. Instead, they are based only on the interactions among the robots and between the group and the environment.<p><p>Division of labour is the mechanism that decides how many robots shall be used to perform a task. The efficiency of the group of robots depends in fact on the number of robots involved in a task. If too few robots are used to achieve a task, they might not be successful or might perform poorly. If too many robots are used, it might be a waste of
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Webster, Victoria Ann. "Simulating Complex Multi-Degree-Of-Freedom Systems and Muscle-Like Actuators." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1354289624.

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Milia, Valentin. "Couplage de modèles de chimie quantique et d'algorithmes haute performance pour l'exploration globale du paysage énergétique de systèmes atomiques et moléculaires." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSEP095.

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L'objectif principal de cette thèse est de développer des méthodes efficaces pour caractériser les conformations des molécules à un niveau quantique. Différentes méthodes dédiées au calcul de l'énergie potentielle d’une molécule sont examinées, ainsi que les schémas d'exploration globale des surfaces d'énergie potentielle (SEP) les plus populaires sont présentés. Une contribution clé de cette thèse est le couplage de la méthode IGLOO (Iterative Global exploration and LOcal Optimization), inspirée de la robotique, mise en œuvre dans le logiciel MoMA, avec le potentiel basé sur la “Density-Funct
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Juston, Raphael. "De l'oeil élémentaire à l'oeil composé artificiel : application à la stabilisation visuelle en vol stationnaire." Thesis, Aix-Marseille, 2013. http://www.theses.fr/2013AIXM4118.

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La stratégie de l'équipe biorobotique est de s'inspirer de découvertes faites en biologie chez l'insecte ailé dont la vision est adaptée à la navigation autonome dans un environnement 3D inconnu. Cette inspiration donne naissance la réalisation de capteurs visuels minimalistes permettant de rendre autonomes des robots volants, pour des tâches complexes telles que : le décollage et l'atterrissage automatiques, l'évitement d'obstacles et, dans le cas de cette thèse, le vol stationnaire.Cette thèse présente la mise en œuvre des capteurs visuels minimalistes bio-inspirés qui, grâce à des algorithm
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"A Bio-Inspired Algorithm and Foldable Robot Platform for Collective Excavation." Master's thesis, 2018. http://hdl.handle.net/2286/R.I.50513.

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abstract: Existing robotic excavation research has been primarily focused on lunar mining missions or simple traffic control in confined tunnels, however little work attempts to bring collective excavation into the realm of human infrastructure. This thesis explores a decentralized approach to excavation processes, where traffic laws are borrowed from swarms of fire ants (Solenopsis invicta) or termites (Coptotermes formosanus) to create decision rules for a swarm of robots working together and organizing effectively to create a desired final excavated pattern. First, a literature review of t
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Libros sobre el tema "Robotics-inspired algorithms"

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Carlos, Martín Vide, Truthe Bianca, and SpringerLink (Online service), eds. Theory and Practice of Natural Computing: First International Conference, TPNC 2012, Tarragona, Spain, October 2-4, 2012. Proceedings. Springer Berlin Heidelberg, 2012.

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Bhowmick. Bio-Inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies. IGI Global, 2024.

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Bhowmick. Bio-Inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies. IGI Global, 2024.

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Bhowmick. Bio-Inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies. IGI Global, 2024.

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Bhowmick. Bio-Inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies. IGI Global, 2024.

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Dediu, Adrian-Horia, Carlos Martín-Vide, Bianca Truthe, and Miguel A. Vega-Rodriguez. Theory and Practice of Natural Computing: Second International Conference, TPNC 2013, Cáceres, Spain, December 2013. Proceedings. Springer Berlin / Heidelberg, 2013.

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Magdalena, Luis, Adrian-Horia Dediu, and Carlos Martín-Vide. Theory and Practice of Natural Computing: Fourth International Conference, TPNC 2015, Mieres, Spain, December 15-16, 2015. Proceedings. Springer London, Limited, 2015.

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Dediu, Adrian-Horia, Carlos Martín-Vide, and Manuel Lozano. Theory and Practice of Natural Computing: Third International Conference, TPNC 2014, Granada, Spain, December 9-11, 2014. Proceedings. Springer London, Limited, 2014.

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Dediu, Adrian-Horia, Carlos Martín-Vide, and Bianca Truthe. Theory and Practice of Natural Computing: First International Conference, TPNC 2012, Tarragona, Spain, October 2-4, 2012. Proceedings. Springer, 2012.

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Dediu, Adrian-Horia, Carlos Martín-Vide, and Manuel Lozano. Theory and Practice of Natural Computing: Third International Conference, TPNC 2014, Granada, Spain, December 9-11, 2014. Proceedings. Springer, 2014.

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Capítulos de libros sobre el tema "Robotics-inspired algorithms"

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Abbott, Jade, and Andries P. Engelbrecht. "Nature-Inspired Swarm Robotics Algorithms for Prioritized Foraging." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09952-1_23.

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Belghiti Alaoui, Soukayna, Badr El Kari, Yassine Chaibi, Zakaria Chalh, and Mohamed Benslimane. "Bio-Inspired Algorithms in Robotics Systems: An Overview." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-74491-4_38.

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Karpenko, Anatoliy P., and Ilia A. Leshchev. "Nature-Inspired Algorithms for Global Optimization in Group Robotics Problems." In Studies in Systems, Decision and Control. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99759-9_8.

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Barredo, Pablo, and Jorge Puente. "Robust Makespan Optimization via Genetic Algorithms on the Scientific Workflow Scheduling Problem." In Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06527-9_8.

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Klarin, Anton, Pi-Shen Seet, Janice Jones, et al. "Understanding the Roots of Swarm Intelligence in Defence to Find the Path Forward." In Thinking Swarms. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-82790-7_2.

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Abstract Swarm intelligence, inspired by the decentralised, adaptive and self-synchronising behaviours of natural swarms, is a pivotal component of autonomous systems, enhancing efficiency, robustness and scalability. The research in this area is nascent and interdisciplinary. To drive this important research forward, it is necessary to adopt a systems perspective on what is available in the current literature. This chapter offers a comprehensive systems perspective of the integration of swarm intelligence within the broader domain of automation, emphasising its application in the defence sect
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Lochmatter, Thomas, and Alcherio Martinoli. "Tracking Odor Plumes in a Laminar Wind Field with Bio-inspired Algorithms." In Experimental Robotics. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00196-3_54.

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Peldszus, Sven, Henriette Knopp, Yorick Sens, and Thorsten Berger. "Towards ML-Integration and Training Patterns for AI-Enabled Systems." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-73741-1_26.

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AbstractMachine learning (ML) has improved dramatically over the last decade. ML models have become a fundamental part of intelligent software systems, many of which are safety-critical. Since ML models have complex lifecycles, they require dedicated methods and tools, such as pipeline automation or experiment management. Unfortunately, the current state of the art is model-centric, disregarding the challenges of engineering systems with multiple ML models that need to interact to realize complex functionality. Consider, for instance, robotics or autonomous driving systems, where perception ar
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Singh, Aditya Narayan, Yagyesh Godiyal, Vibha Saroha, Yash Vardhan Singh, and Nripendra Kumar Singh. "Artificial Bee Colony Algorithms in Control Systems, Robotics, and Automation." In Springer Tracts in Nature-Inspired Computing. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-7344-2_4.

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Marín García, Francisco Antonio, José Manuel Cuadra Troncoso, Félix de la Paz López, and José Ramón Álvarez-Sánchez. "Autonomous Robot Navigation by Area Centroid Algorithm Using Depth Cameras." In Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06527-9_26.

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Arufe, Lis, Riccardo Rasconi, Angelo Oddi, Ramiro Varela, and Miguel Ángel González. "Compiling Single Round QCCP-X Quantum Circuits by Genetic Algorithm." In Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06527-9_9.

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Actas de conferencias sobre el tema "Robotics-inspired algorithms"

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Ansary, Jamal, Jacob O’Donnell, Nashiyat Fyza, and Brian Trease. "Swarms of Aquatic Unmanned Surface Vehicles (USV), a Review From Simulation to Field Implementation." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22702.

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Abstract Swarm robotic is a field of multi-robotics in which the robot’s behavior is inspired from nature. With rapid development in the field of the multi-robotics and the lack of efficacy in traditional centralized controls method, decentralized nature inspired swarm algorithms were introduced to control the swarm behavior. Unmanned surface vehicles (USVs) are marine crafts that they can operate autonomously. Due to their potential in operating in different areas, these vehicles have been used for variety of reason including patrolling, border protection, environmental monitoring and oil spi
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Saicharan, Bandari, Ritu Tiwari, and Nirmal Roberts. "Multi Objective optimization based Path Planning in robotics using nature inspired algorithms: A survey." In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES). IEEE, 2016. http://dx.doi.org/10.1109/icpeices.2016.7853442.

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Millidge, Beren, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, and Thomas Lukasiewicz. "Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?" In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/774.

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The backpropagation of error algorithm (BP) used to train deep neural networks has been fundamental to the successes of deep learning. However, it requires sequential backwards updates and non-local computations which make it challenging to parallelize at scale and is unlike how learning works in the brain. Neuroscience-inspired learning algorithms, however, such as \emph{predictive coding} which utilize local learning have the potential to overcome these limitations and advance beyond deep learning technologies in the future. While predictive coding originated in theoretical neuroscience as a
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Song, Jon Young. "Just Throw It!!! : A Preliminary Study Of Non-Contact Construction Based On Block Interlocking." In 113th ACSA Annual Meeting Paper Proceedings. ACSA Press, 2025. https://doi.org/10.35483/acsa.am.113.9.

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The current sustainability paradigm relies on conventional market-driven practices, which result in a slow transformation, as buildings are the sum of products in conventional construction processes. This project proposes to rethink the performance of the ‘parts’ and their aggregation mechanism into the ‘whole’ to explore an alternative construction paradigm. An example of carbon-neutral construction can be found in nature by animal agents (ants, bees, beavers, etc). They repurpose available materials—such as twigs, mud, soil, and stones— while humans build new products for construction. They
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Lochmatter, T., and A. Martinoli. "Theoretical analysis of three bio-inspired plume tracking algorithms." In 2009 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2009. http://dx.doi.org/10.1109/robot.2009.5152686.

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Li, Junfei, Simon X. Yang, and Zhe Xu. "A Survey on Robot Path Planning using Bio-inspired Algorithms." In 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2019. http://dx.doi.org/10.1109/robio49542.2019.8961498.

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Herrera, Rosana Matuk. "Bio-inspired algorithms for tactile control of dexterous manipulation." In 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2012). IEEE, 2012. http://dx.doi.org/10.1109/biorob.2012.6290889.

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Mundhenk, Terrell N., Nitin Dhavale, Salvador Marmol, et al. "Utilization and viability of biologically-inspired algorithms in a dynamic multiagent camera surveillance system." In Photonics Technologies for Robotics, Automation, and Manufacturing, edited by David P. Casasent, Ernest L. Hall, and Juha Roning. SPIE, 2003. http://dx.doi.org/10.1117/12.515176.

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Guth, Felipe, Luan Silveira, Silvia Botelho, Paulo Drews, and Pedro Ballester. "Underwater SLAM: Challenges, state of the art, algorithms and a new biologically-inspired approach." In 2014 5th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob). IEEE, 2014. http://dx.doi.org/10.1109/biorob.2014.6913908.

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Rojas, Salvador, He Shen, Holly Griffiths, Ni Li, and Lanchun Zhang. "Motion and Gesture Compliance Control for High Performance of a Wheeled Humanoid Robot." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-72337.

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Humanoid robots have the potential to help or even take the place of humans working in extreme or undesirable environments. Wheeled humanoids are robots that combine the mobility of mobile platforms, and the dexterity of an articulated body with two robotic arms. To perform like a human being, these robots normally are designed with a high center of mass, which makes it challenging to maintain stability while achieving high performance on complex and unpredictable terrain. Inspired from how humans react to balance themselves, a compliance control method is studied to help the wheeled humanoid
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Informes sobre el tema "Robotics-inspired algorithms"

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Pasupuleti, Murali Krishna. Quantum-Enhanced Machine Learning: Harnessing Quantum Computing for Next-Generation AI Systems. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv125.

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Abstract Quantum-enhanced machine learning (QML) represents a paradigm shift in artificial intelligence by integrating quantum computing principles to solve complex computational problems more efficiently than classical methods. By leveraging quantum superposition, entanglement, and parallelism, QML has the potential to accelerate deep learning training, optimize combinatorial problems, and enhance feature selection in high-dimensional spaces. This research explores foundational quantum computing concepts relevant to AI, including quantum circuits, variational quantum algorithms, and quantum k
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También puede estar interesado en las bibliografías ampliadas sobre el tema "Robotics-inspired algorithms" para tipos de fuentes particulares:
Artículos de revistas
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