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Thematische Bibliographien / Ground robots

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Zeitschriftenartikel
Dissertationen
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Auswahl der wissenschaftlichen Literatur zum Thema „Ground robots“

Autor: Grafiati

Veröffentlicht am 21. Dezember 2024

Zuletzt aktualisiert am 19. Juli 2025

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Zeitschriftenartikel zum Thema "Ground robots"

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Trujillo, Juan-Carlos, Rodrigo Munguia, and Antoni Grau. "Aerial Cooperative SLAM for Ground Mobile Robot Path Planning." Engineering Proceedings 6, no. 1 (2021): 65. http://dx.doi.org/10.3390/i3s2021dresden-10164.

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The trajectory planning for ground mobile robots operating in unknown environments can be a difficult task. In many cases, the sensors used for detecting obstacles only provide information about the immediate surroundings, making it difficult to generate an efficient long-term path. For instance, a robot can easily choose to move along a free path that, eventually, will have a dead end. This research is intended to develop a cooperative scheme of visual-based aerial simultaneous localization and mapping (SLAM) that will be used for generating a safe long-term trajectory for a ground mobile rob

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Krestovnikov, K. D. "Control Algorithms for a Bidirectional Wireless Power Transmission System at the Redistribution of Energy Resources in a Group of Ground Robots." Mekhatronika, Avtomatizatsiya, Upravlenie 24, no. 9 (2023): 481–88. http://dx.doi.org/10.17587/mau.24.481-488.

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Redistributing energy resources within a group of ground robots allows for an increase in the reachable workspace area and expands its functional capabilities. The use of wireless energy transfer systems for exchanging energy resources between ground robots reduces the requirements for positioning accuracy and enhances the reliability of the robotic system. This study examines control and management algorithms for a bidirectional wireless energy transfer system when operating as part of a ground robot. A structural diagram of the bidirectional wireless energy transfer module is proposed for in

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Kobori, Hiroaki, and Kosuke Sekiyama. "Mutual Cooperation System for Task Execution Between Ground Robots and Drones Using Behavior Tree-Based Action Planning and Dynamic Occupancy Grid Mapping." Drones 9, no. 2 (2025): 95. https://doi.org/10.3390/drones9020095.

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This study presents a cooperative system where drones and ground robots share information to efficiently complete tasks in environments that challenge the capabilities of a single robot. Drones focus on exploring high-interest areas for ground robots, generating occupancy grid maps and identifying high-risk routes. Ground robots use this information to evaluate and adapt routes as needed. Flexible action planning through behavior trees enables the robots to respond dynamically to environmental changes, facilitating spontaneous and adaptable cooperation. Experiments with real robots confirmed t

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Zhang, Ziang, Yixu Wan, You Wang, Xiaoqing Guan, Wei Ren, and Guang Li. "Improved hybrid A* path planning method for spherical mobile robot based on pendulum." International Journal of Advanced Robotic Systems 18, no. 1 (2021): 172988142199295. http://dx.doi.org/10.1177/1729881421992958.

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This article proposes a modification of hybrid A* method used for navigation of spherical mobile robots with the ability of limited partial lateral movement driven by pendulum. For pendulum-driven spherical robots with nonzero minimal turning radius, our modification helps to find a feasible and achievable path, which can be followed in line with the low time cost. Because of spherical shell shape, the robot is point contact with the ground, showing different kinematic model compared with common ground mobile robots such as differential robot and wheeled car-like robot. Therefore, this article

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Mamiya, Shotaro, Shigenori Sano, and Naoki Uchiyama. "Foot Structure with Divided Flat Soles and Springs for Legged Robots and Experimental Verification." Journal of Robotics and Mechatronics 28, no. 6 (2016): 799–807. http://dx.doi.org/10.20965/jrm.2016.p0799.

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[abstFig src='/00280006/03.jpg' width='300' text='Robotic foot adaptable to rough terrain' ] Practical ambulation must be realized by walking robots to enable social and industrial support by walking robots in human living environments. A four-legged robot that walks through rough terrain effectively does not erase the fact that most legged robots – particularly biped robots – have difficulty negotiating rough terrain. We focus below on a foot structure and landing control for enabling any type of legged robot to walk through rough terrain. When a walking robot lands on the ground, it is diffi

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Liu, Yi, Junyao Gao, Jingchao Zhao, and Xuanyang Shi. "A New Disaster Information Sensing Mode: Using Multi-Robot System with Air Dispersal Mode." Sensors 18, no. 10 (2018): 3589. http://dx.doi.org/10.3390/s18103589.

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This paper presents a novel sensing mode for using mobile robots to collect disaster ground information when the ground traffic from the rescue center to disaster site is disrupted. Traditional sensing modes which use aerial robots or ground robots independently either have limited ability to access disaster site or are only able to provide a bird’s eye view of the disaster site. To illustrate the proposed sensing mode, the authors have developed a Multi-robot System with Air Dispersal Mode (MSADM) by combining the unimpeded path of aerial robots with the detailed view of ground robots. In the

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Wang, Yankai, Qiaoling Du, Tianhe Zhang, and Chengze Xue. "The WL_PCR: A Planning for Ground-to-Pole Transition of Wheeled-Legged Pole-Climbing Robots." Robotics 10, no. 3 (2021): 96. http://dx.doi.org/10.3390/robotics10030096.

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Hybrid mobile robots with two motion modes of a wheeled vehicle and truss structure with the ability to climb poles have significant flexibility. The motion planning of this kind of robot on a pole has been widely studied, but few studies have focused on the transition of the robot from the ground to the pole. In this study, a locomotion strategy of wheeled-legged pole-climbing robots (the WL_PCR) is proposed to solve the problem of ground-to-pole transition. By analyzing the force of static and dynamic process in the ground-to-pole transition, the condition of torque provided by the gripper a

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Mitsch, Stefan, Khalil Ghorbal, David Vogelbacher, and André Platzer. "Formal verification of obstacle avoidance and navigation of ground robots." International Journal of Robotics Research 36, no. 12 (2017): 1312–40. http://dx.doi.org/10.1177/0278364917733549.

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This article answers fundamental safety questions for ground robot navigation: under which circumstances does which control decision make a ground robot safely avoid obstacles? Unsurprisingly, the answer depends on the exact formulation of the safety objective, as well as the physical capabilities and limitations of the robot and the obstacles. Because uncertainties about the exact future behavior of a robot’s environment make this a challenging problem, we formally verify corresponding controllers and provide rigorous safety proofs justifying why the robots can never collide with the obstacle

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Yan, Hui, Xue Bo Zhang, Yu Wang, and Wei Jie Han. "Research on the Vision Processing of Space Robot's Tracking Camera." Advanced Materials Research 748 (August 2013): 713–17. http://dx.doi.org/10.4028/www.scientific.net/amr.748.713.

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The tracking camera is very important to the whole test tasks of space robot. Aiming at the vision processing problems of space robots tracking camera, a new method of vision processing LabVIEW+DLL is present in this article. Based on the method, a set of vision processing system of space robots tracking camera is researched and developed. This system can better meet the index requirements of space robots vision processing and precisely measure the position and posture data from the target star relative to space robots body coordinate system in the process of the ground air-float test for the

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Tellex, Stefanie, Nakul Gopalan, Hadas Kress-Gazit, and Cynthia Matuszek. "Robots That Use Language." Annual Review of Control, Robotics, and Autonomous Systems 3, no. 1 (2020): 25–55. http://dx.doi.org/10.1146/annurev-control-101119-071628.

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This article surveys the use of natural language in robotics from a robotics point of view. To use human language, robots must map words to aspects of the physical world, mediated by the robot's sensors and actuators. This problem differs from other natural language processing domains due to the need to ground the language to noisy percepts and physical actions. Here, we describe central aspects of language use by robots, including understanding natural language requests, using language to drive learning about the physical world, and engaging in collaborative dialogue with a human partner. We

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Dissertationen zum Thema "Ground robots"

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Kalyadin, Dmitry. "Robot data and control server for Internet-based training on ground robots." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002111.

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Serdel, Quentin. "Semantic-assisted Autonomous Ground Robot Navigation in Unstructured Environments." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST139.

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Cette thèse porte sur la navigation autonome de robots terrestres dans des environnements non structurés et dépourvus de télécommunications. Afin d'employer des robots mobiles pour effectuer des tâches complexes telles que l'exploration planétaire ou des opérations de sauvetage, ils doivent bénéficier d'une autonomie complète, notamment pour leur navigation sans carte préalable. Les dernières avancées dans le domaine de l'apprentissage profond permettent l'extraction d'informations sémantiques à partir des données capteurs d'un robot. L'exploitation de ces informations, relatives à la nature d

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Shah, Syed Irtiza Ali. "Single camera based vision systems for ground and; aerial robots." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37143.

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Efficient and effective vision systems are proposed in this work for object detection for ground&aerial robots venturing into unknown environments with minimum vision aids, i.e. a single camera. The first problem attempted is that of object search and identification in a situation similar to a disaster site. Based on image analysis, typical pixel-based characteristics of a visual marker have been established to search for, using a block based search algorithm, along with a noise and interference filter. The proposed algorithm has been successfully utilized for the International Aerial Robotics

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Baleia, José Rodrigo Ferreira. "Haptic robot-environment interaction for self-supervised learning in ground mobility." Master's thesis, Faculdade de Ciências e Tecnologia, 2014. http://hdl.handle.net/10362/12475.

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Dissertação para obtenção do Grau de Mestre em Engenharia Eletrotécnica e de Computadores<br>This dissertation presents a system for haptic interaction and self-supervised learning mechanisms to ascertain navigation affordances from depth cues. A simple pan-tilt telescopic arm and a structured light sensor, both fitted to the robot’s body frame, provide the required haptic and depth sensory feedback. The system aims at incrementally develop the ability to assess the cost of navigating in natural environments. For this purpose the robot learns a mapping between the appearance of objects, give

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Sharma, Rajnikant. "Bearing-Only Cooperative-Localization and Path-Planning of Ground and Aerial Robots." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2884.

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In this dissertation, we focus on two fundamental problems related to the navigation of ground robots and small Unmanned Aerial Vehicle (UAVs): cooperative localization and path planning. The theme running through in all of the work is the use of bearing only sensors, with a focus on monocular video cameras mounted on ground robots and UAVs. To begin with, we derive the conditions for the complete observability of the bearing-only cooperative localization problem. The key element of this analysis is the Relative Position Measurement Graph (RPMG). The nodes of an RPMG represent vehicle states a

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Staub, Nicolas. "Models, algorithms and architectures for cooperative manipulation with aerial and ground robots." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30169/document.

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Les dernières années ont vu le développement de recherches portant sur l'interaction physique entre les robots aériens et leur environnement, accompagné de l'apparition de nombreux nouveaux systèmes mécaniques et approches de régulation. La communauté centrée autour de la robotique aérienne observe actuellement un déplacement de paradigmes des approches classiques de guidage, de navigation et de régulation vers des tâches moins triviales, telle le développement de l'interaction physique entre robots aériens et leur environnement. Ceci correspond à une extension des tâches dites de manipulation

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Yang, Jian. "Real-time trajectory planning for ground and aerial vehicles in a dynamic environment." Orlando, Fla. : University of Central Florida, 2008. http://purl.fcla.edu/fcla/etd/CFE0002031.

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Birchmore, Frederick Christopher. "A holistic approach to human presence detection on man-portable military ground robots." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p1464660.

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Thesis (M.S.)--University of California, San Diego, 2009.<br>Title from first page of PDF file (viewed July 2, 2009). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 85-90).

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Klamt, Tobias [Verfasser]. "Planning Hybrid Driving-Stepping Locomotion for Ground Robots in Challenging Environments / Tobias Klamt." Bonn : Universitäts- und Landesbibliothek Bonn, 2020. http://d-nb.info/1218301465/34.

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Archontakis, Andreas. "Assessing the flight quality of a large UAV for sensors/ground robots aerial delivery." Thesis, Monterey, California. Naval Postgraduate School, 2010. http://hdl.handle.net/10945/5116.

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Approved for public release; distribution is unlimited<br>The new goal for unmanned aerial systems will be to find creative methods of keeping the cost low and still maintain effectiveness. This thesis discusses the importance of UAVs over the last few years, suggests the development of a low-cost, large UAV, and evaluates the results. We also examine the idea of a platform for deploying multiple aerial-delivery, parafoil-based systems and discuss scenarios for the improvement of the collaboration of the large UAV with the Snowflake project.

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Bücher zum Thema "Ground robots"

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Sarcinelli-Filho, Mario, and Ricardo Carelli. Control of Ground and Aerial Robots. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23088-2.

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Tal, Oron-Gilad, ed. Interfaces for ground and air military robots: Workshop summary. National Academies Press, 2005.

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National Research Council (U.S.). Committee on Army Unmanned Ground Vehicle Technology. and National Research Council (U.S.). Board on Army Science and Technology., eds. Technology development for Army unmanned ground vehicles. National Academies Press, 2002.

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R, Gerhart Grant, Shoemaker Chuck M, Gage Douglas W. 1945-, and Society of Photo-optical Instrumentation Engineers., eds. Unmanned ground vehicle technology IV: 2-3 April, 2002, Orlando, [Florida] USA. SPIE, 2002.

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Kwak, Se-Hung. Rule-based motion coordination for the Adaptive Suspension Vehicle on ternary-type terrain. Naval Postgraduate School, 1990.

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John, Aloimonos, ed. Visual navigation: From biological systems to unmanned ground vehicles. Lawrence Erlbaum Associates, 1997.

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Flür, Wolfgang. Kraftwerk: I was a robot. Sanctuary, 2000.

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Hannan, Peter. Battle of the brain-sucking robots. HarperTrophy, 2008.

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C, Crane, and United States. National Aeronautics and Space Administration., eds. Development of a prototype kinestatic platform for application to space and ground servicing tasks: Phase I, concept modeling : final report. National Aeronautics and Space Administration, 1993.

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Koeppl, James W. Robust statistics for spatial analysis: The bivariate normal home range model applied to syntopic populations of two species of ground squirrels. Museum of Natural History, the University of Kansas, 1985.

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Buchteile zum Thema "Ground robots"

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Brumitt, Barry, and Anthony Stentz. "Dynamic Mission Planning for Multiple Mobile Robots." In Intelligent Unmanned Ground Vehicles. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6325-9_12.

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Oleksii, Shatokhin, Vytautas Bučinskas, and Andrius Dzedzickis. "Positioning of Mobile Robots on the Ground." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-78266-4_15.

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Lantos, Béla, and Lőrinc Márton. "Dynamic Models of Ground, Aerial and Marine Robots." In Nonlinear Control of Vehicles and Robots. Springer London, 2011. http://dx.doi.org/10.1007/978-1-84996-122-6_3.

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Medeiros, Vivian S., Felix M. Escalante, Marcelo Becker, and Thiago Boaventura. "Impedance Control Analysis for Legged Locomotion in Oscillating Ground." In Synergetic Cooperation between Robots and Humans. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-47272-5_17.

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Hu, Cheng, Qinbing Fu, Tian Liu, and Shigang Yue. "A Hybrid Visual-Model Based Robot Control Strategy for Micro Ground Robots." In From Animals to Animats 15. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97628-0_14.

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Emmi, Luis, Mariano Gonzalez-de-Soto, and Pablo Gonzalez-de-Santos. "Configuring a Fleet of Ground Robots for Agricultural Tasks." In ROBOT2013: First Iberian Robotics Conference. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03413-3_37.

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Ronzhin, Andrey, Tien Ngo, Quyen Vu, and Vinh Nguyen. "Models and Algorithms of Interaction Between Heterogeneous Agricultural Robots." In Ground and Air Robotic Manipulation Systems in Agriculture. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86826-0_2.

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Bocharov, Nikita, Vasiliy Vorobushkov, Nikolay Paramonov, and Oleg Slavin. "Disaster Tolerance of On-Board Control Systems for Ground Robots." In Convergent Cognitive Information Technologies. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37436-5_19.

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Cuesta, Francisco, Miguel Cordero, Luis Díaz, Antidio Viguria, and Aníbal Ollero. "A Particle Filter-Based Method for Ground-Based WSN Localization Using an Aerial Robot." In Cooperative Robots and Sensor Networks 2015. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18299-5_7.

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Ronzhin, Andrey, Tien Ngo, Quyen Vu, and Vinh Nguyen. "Experimental Estimation of Means Developed for Interaction Between Heterogeneous Agricultural Robots." In Ground and Air Robotic Manipulation Systems in Agriculture. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86826-0_4.

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Konferenzberichte zum Thema "Ground robots"

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Bettencourt, Rui, Catarina Caramalho, Gabriel Nunes, Rodrigo Serra, Alberto Vale, and Pedro U. Lima. "Indoor 2.5D Navigation for Ground Robots." In 2025 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). IEEE, 2025. https://doi.org/10.1109/icarsc65809.2025.10970157.

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Sousa, Ricardo B., Héber Miguel Sobreira, João G. Martins, Paulo G. Costa, Manuel F. Silva, and António Paulo Moreira. "Integrating Multimodal Perception into Ground Mobile Robots." In 2025 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). IEEE, 2025. https://doi.org/10.1109/icarsc65809.2025.10970176.

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Kumar, Rahul, Vishnu S. Chipade, and Sze Zheng Yong. "Stability of Tethered Ground Robots on Extreme Terrains." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10801748.

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Sharipov, Ulan, Sultan Kasenov, Muslim Alaran, Almira Askhatova, Yessimkhan Orynbay, and Prashant Jamwal. "Cloud-Integrated Navigation System for Scalable Autonomous Ground Robots." In 2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). IEEE, 2024. http://dx.doi.org/10.1109/m2vip62491.2024.10746213.

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Zhu, Kevin, Shay Snyder, Ricardo Vega, Maryam Parsa, and Cameron Nowzari. "A Milling Swarm of Ground Robots using Spiking Neural Networks." In 2025 Neuro Inspired Computational Elements (NICE). IEEE, 2025. https://doi.org/10.1109/nice65350.2025.11065293.

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Bartoli, Eric, Jean Michel Munoz, Gregoire Audouin, and Gildas Collin. "Implementation of Autonomous Ground Robots on Operational Sites." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211242-ms.

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Abstract One of the missions of the TotalEnergies’ R&D is to pave the way for tomorrow's simpler, streamlined and less expensive facilities. The vision is focused on unmanned installations in which autonomous ground robots are key components. In 2017, the ARGOS (Autonomous Robots for Gas and Oil Sites) Challenge delivered the first prototype of a new generation of autonomous, ATEX-compliant ground robots capable of detecting anomalies. Based on this success, TotalEnergies started a few projects with the aim to introduce and standardize robotics on O&G sites. The first project is the de

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Munoz, Jean-Michel, Eric Bartoli, Grégoire Audouin, Gildas Collin, and Khalid Mateen. "Generating Value from Inspection Ground Robots on Operational Sites." In Offshore Technology Conference. OTC, 2022. http://dx.doi.org/10.4043/32112-ms.

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Abstract Over the past few years, many communications were made by robot manufacturers showing inspection robot prototypes on production sites. As the first autonomous and explosion proof inspection robots become commercial, and even if oil & gas operators are more and more interested, many have difficulty seeing how value can be generated with this new tool. This paper will describe TotalEnergies' journey towards robot implementation on site. TotalEnergies' use of robotics on site comes from a vision of a new operating philosophy where sites will be unattended for very long periods. Based

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Peng, Huei, and A. Galip Ulsoy. "IMPROVED SAFETY AND MOBILITY OF GROUND ROBOTS." In 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium. National Defense Industrial Association, 2024. http://dx.doi.org/10.4271/2024-01-3308.

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<title>ABSTRACT</title> <p>The main goal of this paper is to report recent progress on two example projects supported within the Ground Robotics Reliability Center (GRRC), a TARDEC supported research center headquartered at the University of Michigan. In the first project, the concept of Velocity Occupancy Space (VOS), a new navigation algorithm that allows a robot to operate using only a range finding sensor in an unknown environment was developed. This method helps a mobile robot to avoid stationary and moving obstacles while navigating towards a target. The second project

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da Silva, G. L. L., M. M. Cordeiro, M. Galassi, et al. "Evaluation of the Potential Impact of Ground Robots on FPSO Operations." In Offshore Technology Conference Brasil. OTC, 2023. http://dx.doi.org/10.4043/32872-ms.

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Abstract The objective of this paper is to present Petrobras’ learnings when evaluating the routine of a FPSO (Floating Production, Storage and Offloading) asset crew to identify scenarios for the application of robotics in day-to-day offshore activities. The method used for the studies presented in this paper consists of surveying archived data recordings in objective metric criteria, to evaluate the leverage of robotic assistance. A larger perspective analysis to one pre-salt typical FPSO reveals three main groups of key activities in terms of people on board: operator inspection/surveillanc

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Lee, Sam, Nathan P. Lucas, Alex Cao, Abhilash Pandya, and R. Darin Ellis. "AN AUGMENTED REALITY UAV-GUIDED GROUND NAVIGATION INTERFACE IMPROVE HUMAN PERFORMANCE IN MULTI-ROBOT TELE-OPERATION." In 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium. National Defense Industrial Association, 2024. http://dx.doi.org/10.4271/2024-01-3323.

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<title>ABSTRACT</title> <p>This research proposes a human-multirobot system with semi-autonomous ground robots and UAV view for contaminant localization tasks. A novel Augmented Reality based operator interface has been developed. The interface uses an over-watch camera view of the robotic environment and allows the operator to direct each robot individually or in groups. It uses an A* path planning algorithm to ensure obstacles are avoided and frees the operator for higher-level tasks. It also displays sensor information from each individual robot directly on the robot in th

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Berichte der Organisationen zum Thema "Ground robots"

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Theisen, Bernard L. The 15th Annual Intelligent Ground Vehicle Competition: Intelligent Ground Robots Created by Intelligent Students. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada473227.

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Grand-Clément, Sarah, and Theò Bajon. Uncrewed Ground Systems: A Primer. UNIDIR, 2022. http://dx.doi.org/10.37559/caap/22/erc/11.

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The development of uncrewed ground systems (UGSs) – which include vehicles that can be piloted either remotely or semi-autonomously – is increasing. This primer introduces the different types of UGS (or "ground robots"), describes their key components and functions, and outlines the main challenges that these systems can pose to international security. The focus of the primer is on describing the main areas of technological innovation and development related to the key components that comprise UGSs, outlining the anticipated areas of progress and potential concern.

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EICKER, PATRICK J. The Embudito Mission: A Case Study of the Systematics of Autonomous Ground Mobile Robots. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/786622.

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Zarrieß, Benjamin, and Jens Claßen. On the Decidability of Verifying LTL Properties of Golog Programs. Technische Universität Dresden, 2013. http://dx.doi.org/10.25368/2022.200.

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Golog is a high-level action programming language for controlling autonomous agents such as mobile robots. It is defined on top of a logic-based action theory expressed in the Situation Calculus. Before a program is deployed onto an actual robot and executed in the physical world, it is desirable, if not crucial, to verify that it meets certain requirements (typically expressed through temporal formulas) and thus indeed exhibits the desired behaviour. However, due to the high (first-order) expressiveness of the language, the corresponding verification problem is in general undecidable. In this

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Bedell, Brian P. Small Ground Robot's Effectiveness and Acquisition Strategy. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada561210.

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6

Bak, A. Spicer, Patrick Durkin, Brittany Bruder, Matthew Saenz, Michael Forte, and Katherine Brodie. Amphibious uncrewed ground vehicle for coastal surfzone survey. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48130.

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The capability of a commercial off-the-shelf amphibious bottom crawling robot is explored for surveying seamless topography and bathymetry across the beachface, surfzone, and very nearshore. A real-time-kinematic (RTK) antenna on a mast was added to the robotic platform, a Bayonet-350 (previously the C2i SeaOx). Data collected from the robot were compared with those collected by the Coastal Research Amphibious Buggy (CRAB) and the Lighter Amphibious Resupply Cargo (LARC), unique amphibious vessels capable of collecting seamless topography and bathymetry in use for decades at the US Army Engine

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Christie, Benjamin, Osama Ennasr, and Garry Glaspell. ROS integrated object detection for SLAM in unknown, low-visibility environments. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42385.

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Integrating thermal (or infrared) imagery on a robotics platform allows Unmanned Ground Vehicles (UGV) to function in low-visibility environments, such as pure darkness or low-density smoke. To maximize the effectiveness of this approach we discuss the modifications required to integrate our low-visibility object detection model on a Robot Operating System (ROS). Furthermore, we introduce a method for reporting detected objects while performing Simultaneous Localization and Mapping (SLAM) by generating bounding boxes and their respective transforms in visually challenging environments.

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Frederick, Robert A., Filz Jr., Janetka Laura M., Smith Melanie G., and Nathan W. Integrated Unmanned Air-Ground Robotics System, Volume 1. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada397955.

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9

Frederick, Robert A., Filz Jr., Janetka Laura M., Smith Melanie G., and Nathan W. Integrated Unmanned Air-Ground Robotics System, Volume 2. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada397956.

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10

Frederick, Robert A., Filz Jr., Janetka Laura M., Smith Melanie G., and Nathan W. Integrated Unmanned Air-Ground Robotics System, Volume 3. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada397957.

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