Diseño, desarrollo y validación de ecobot - r: robot terrestre autónomo para inspección ambiental y recolección básica de residuos en zonas urbanas y naturales

Mora Guerrero, Ciro Alejandro

Publicación:
Diseño, desarrollo y validación de ecobot - r: robot terrestre autónomo para inspección ambiental y recolección básica de residuos en zonas urbanas y naturales

dc.contributor.advisor	Chacón Rivera, Lina María
dc.contributor.author	Mora Guerrero, Ciro Alejandro
dc.contributor.jury	Chéry Leal, Marie José
dc.contributor.jury	Porras Vega, John Jairo	spa
dc.creator.id	1019762196
dc.date.accessioned	2026-10-19T23:03:41Z
dc.date.issued	2026-10-05
dc.description.abstract	Este proyecto presenta el diseño, desarrollo y validación de ECOBOT-R, un robot terrestre autónomo destinado a la inspección ambiental y la recolección básica de residuos en entornos urbanos y naturales. El sistema integra sensores para el monitoreo de variables como temperatura, humedad y calidad del aire, junto con un mecanismo de recolección de residuos metálicos mediante electroimán y georreferenciación de desechos no metálicos. El prototipo, basado en microcontroladores, busca ofrecer una solución de bajo costo, replicable y eficiente para apoyar la gestión ambiental, alineándose con los Objetivos de Desarrollo Sostenible.	spa
dc.description.abstract	This project presents the design, development and validation of ECOBOT-R, an autonomous ground robot intended for environmental inspection and basic waste collection in urban and natural environments. The system integrates sensors to monitor variables such as temperature, humidity and air quality, along with a metal waste collection mechanism using an electromagnet and georeferencing of non-metallic waste. The prototype, based on microcontrollers, seeks to offer a low-cost, replicable and efficient solution to support environmental management, aligning with the Sustainable Development Goals.	eng
dc.description.degreelevel	Pregrado
dc.description.degreename	Ingeniero en Mecatrónica
dc.format	pdf
dc.format.extent	35 páginas
dc.format.medium	Recurso electrónico
dc.format.mimetype	application/pdf
dc.identifier.instname	instname:Universidad Ean
dc.identifier.local	BDM-FIM
dc.identifier.reponame	reponame:Repositorio Institucional Biblioteca Digital Minerva
dc.identifier.repourl	repourl:https://repository.universidadean.edu.co/
dc.identifier.uri	https://hdl.handle.net/10882/19686
dc.language.iso	spa
dc.publisher	Universidad Ean
dc.publisher.faculty	Facultad de Ingeniería
dc.publisher.place	Bogotá
dc.publisher.program	Ingeniería Mecatrónica
dc.relation.references	Adamides, G., & Edan, Y. (2023). Human–robot collaboration systems in agricultural tasks: A review and roadmap. In Computers and Electronics in Agriculture (Vol. 204). Elsevier B.V. https://doi.org/10.1016/j.compag.2022.107541
dc.relation.references	Bonello, A., Refalo, P., & Francalanza, E. (2024). The Impacts of Industrial Safety on Environmental Sustainability in Human-Robot-Collaboration within Industry 5.0. Procedia CIRP , 122 , 282–287. https://doi.org/10.1016/j.procir.2024.01.041
dc.relation.references	Giordano, G., Murali Babu, S. P., & Mazzolai, B. (2023). Soft robotics towards sustainable development goals and climate actions. Frontiers in Robotics and AI , 10 . https://doi.org/10.3389/frobt.2023.1116005
dc.relation.references	Jiang, P., Wang, Z., Li, X., Wang, X. V., Yang, B., & Zheng, J. (2023). Energy consumption prediction and optimization of industrial robots based on LSTM. Journal of Manufacturing Systems , 70 , 137– 148. https://doi.org/10.1016/j.jmsy.2023.07.009
dc.relation.references	Jin, S., Yang, Z., Królczykg, G., Liu, X., Gardoni, P., & Li, Z. (2023). Garbage detection and classification using a new deep learning-based machine vision system as a tool for sustainable waste recycling. Waste Management , 162 , 123–130. https://doi.org/10.1016/j.wasman.2023.02.014
dc.relation.references	Lakhouit, A. (2025). Revolutionizing urban solid waste management with AI and IoT: A review of smart solutions for waste collection, sorting, and recycling. In Results in Engineering (Vol. 25). Elsevier B.V. https://doi.org/10.1016/j.rineng.2025.104018
dc.relation.references	Li, J., Durazo-Cardenas, I., Ruiz-Carcel, C., He, F., Anderson, R., Hall, A., Burbridge, D., & Starr, A. (2024). Smart railways: The design and construction of an autonomous inspection and maintenance vehicle. Procedia CIRP , 128 , 61–65. https://doi.org/10.1016/j.procir.2024.03.003
dc.relation.references	Mendez-Flores, E., Pourshahidi, A., & Egerstedt, M. (2025). RaccoonBot: An Autonomous Wire- Traversing Solar-Tracking Robot for Persistent Environmental Monitoring . http://arxiv.org/abs/2501.14151
dc.relation.references	Nahiduzzaman, M., Ahamed, M. F., Naznine, M., Karim, M. J., Kibria, H. B., Ayari, M. A., Khandakar, A., Ashraf, A., Ahsan, M., & Haider, J. (2025). An automated waste classification system using deep learning techniques: Toward efficient waste recycling and environmental sustainability. Knowledge-Based Systems , 310 . https://doi.org/10.1016/j.knosys.2025.113028
dc.relation.references	Páez-Ubieta, I. de L., Castaño-Amorós, J., Puente, S. T., & Gil, P. (2024). Vision and Tactile Robotic System to Grasp Litter in Outdoor Environments . https://doi.org/10.1007/s10846-023-01930-2
dc.relation.references	Soori, M., Arezoo, B., & Dastres, R. (2023). Optimization of energy consumption in industrial robots, a review. In Cognitive Robotics (Vol. 3, pp. 142–157). KeAi Communications Co. https://doi.org/10.1016/j.cogr.2023.05.003
dc.relation.references	Stronger, D., & Stone, P. (2006). Towards autonomous sensor and actuator model induction on a mobile robot. In Connection Science (Vol. 18, Issue 2, pp. 97–119). https://doi.org/10.1080/09540090600768690
dc.relation.references	Sung, Y., Chen, Z., Das, J., & Tokekar, P. (2023). A Survey of Decision-Theoretic Approaches for Robotic Environmental Monitoring . http://arxiv.org/abs/2308.02698
dc.relation.references	Wiese, P., Kartsch, V., Guermandi, M., & Benini, L. (2025). A Multi-Modal IoT Node for Energy- Efficient Environmental Monitoring with Edge AI Processing . https://doi.org/10.1109/COINS65080.2025.11125738
dc.relation.references	Xia, Y., & Ahmad, M. (2025). Industrial Robotics, Resource Efficiency, Energy Transition, and Environmental Quality: Designing a Sustainable Development Goals Framework for G7 Countries in the Presence of Geopolitical Risk. Sustainability (Switzerland) , 17 (5). https://doi.org/10.3390/su17051960
dc.rights.accessrights	info:eu-repo/semantics/openAccess
dc.rights.coar	http://purl.org/coar/access_right/c_abf2
dc.rights.creativecommons	Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)
dc.rights.license	Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)
dc.rights.local	Abierto (Texto Completo)
dc.rights.uri	https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject.armarc	Robotica ambiental	spa
dc.subject.armarc	Recolección de basuras	spa
dc.subject.armarc	Sostenibilidad	spa
dc.subject.armarc	Robótica	spa
dc.subject.armarc	Robots -- Sistemas de control	spa
dc.subject.armarc	Automatización	spa
dc.subject.proposal	Robot terrestre autónomo	spa
dc.subject.proposal	Inspección ambiental	spa
dc.subject.proposal	Recolección de residuos	spa
dc.subject.proposal	Gestión ambiental	spa
dc.subject.proposal	Robótica móvil	spa
dc.subject.proposal	Sensores ambientales	spa
dc.subject.proposal	Sostenibilidad	spa
dc.title	Diseño, desarrollo y validación de ecobot - r: robot terrestre autónomo para inspección ambiental y recolección básica de residuos en zonas urbanas y naturales	spa
dc.title	Design, development and validation of ecobot - r: autonomous terrestrial robot for environmental inspection and basic waste collection in urban and natural areas	eng
dc.type	Trabajo de grado - Pregrado
dc.type.coar	http://purl.org/coar/resource_type/c_7a1f
dc.type.coarversion	http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.content	Text
dc.type.driver	info:eu-repo/semantics/bachelorThesis
dc.type.redcol	http://purl.org/redcol/resource_type/TP
dc.type.version	info:eu-repo/semantics/acceptedVersion
dspace.entity.type	Publication
person.affiliation.name	Ingeniería Mecatrónica