Neural Network as an Alternative to the Jacobian for Iterative Solution to Inverse Kinematics. - Fabricio Julian Carini Montenegro; Ricardo Bedin Grando; Giovani Rubert Librelotto; Rodrigo da Silva Guerra (LARS/SBR/WRE, 2018)

Dr. Eureka: a humanoid robot manipulation case study. - Lin Yu-Ren; Guilherme Henrique Galelli Christmann; Ricardo Bedin Grando; Rodrigo da Silva Guerra; Jacky Baltes (Knowl. Eng. Rev., 2019)

Deep Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles. - Ricardo B. Grando; Junior Costa de Jesus; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2020)

Visual-based Autonomous Unmanned Aerial Vehicle for Inspection in Indoor Environments. - Ricardo B. Grando; Pedro M. Pinheiro; Nicolas P. Bortoluzzi; César B. da Silva; Otávio F. Zauk; Mariana O. Piñeiro; Vivian M. Aoki; André L. S. da Kelbouscas; Ylanna B. Lima; Paulo L. J. Drews-Jr; Armando Alves Neto (LARS/SBR/WRE, 2020)

A Novel Concept for Hybrid Unmanned Aerial Underwater Vehicles Focused on Aquatic Performance. - Alexandre C. Horn; Pedro M. Pinheiro; Ricardo B. Grando; César B. da Silva; Armando Alves Neto; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2020)

Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Nicolas P. Bortoluzzi; Pedro M. Pinheiro; Armando Alves Neto; Paulo Lilles Jorge Drews Junior (ICRA, 2021)

Soft Actor-Critic for Navigation of Mobile Robots. - Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Ricardo Bedin Grando; Marco Antônio De Souza Leite Cuadros; Daniel Fernando Tello Gamarra (J. Intell. Robotic Syst., 2021)

Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles. - Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Ricardo B. Grando; Rodrigo da Silva Guerra; Paulo Lilles Drews Jr. (IROS, 2022)

Double Deep Reinforcement Learning Techniques for Low Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots. - Linda Dotto de Moraes; Victor Augusto Kich; Alisson Henrique Kolling; Jair Augusto Bottega; Raul Steinmetz; Emerson Cassiano da Silva; Ricardo B. Grando; Anselmo Rafael Cuckla; Daniel Fernando Tello Gamarra (ISDA (2), 2022)

Virtual Reality Platform to Develop and Test Applications on Human-Robot Social Interaction. - Jair Augusto Bottega; Raul Steinmetz; Alisson Henrique Kolling; Victor Augusto Kich; Junior Costa de Jesus; Ricardo Bedin Grando; Daniel Fernando Tello Gamarra (LARS/SBR/WRE, 2022)

Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep Reinforcement Learning Through Environmental Generalization. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Pedro M. Pinheiro; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2022)

Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Pedro M. Pinheiro; Rodrigo da Silva Guerra; Paulo Lilles Drews Jr. (LARS/SBR/WRE, 2022)

Active Perception Applied To Unmanned Aerial Vehicles Through Deep Reinforcement Learning. - Matheus G. Mateus; Ricardo B. Grando; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2022)

Deep Reinforcement Learning Using a Low-Dimensional Observation Filter for Visual Complex Video Game Playing. - Victor Augusto Kich; Junior Costa de Jesus; Ricardo Bedin Grando; Alisson Henrique Kolling; Gabriel Vinícius Heisler; Rodrigo da Silva Guerra (CoRR, 2022)

Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (CoRR, 2022)

Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep Reinforcement Learning Through Environmental Generalization. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (CoRR, 2022)

Robótica Móvel e Inteligência Artificial para Investigação, Competição e Automatização de Sistemas Industriais. - Hiago Jacobs Sodre Pereira; Pablo Ezequiel Moraes; André da Silva Kelbouscas; Ricardo B. Grando (CoRR, 2022)

Drones e Inteligencia Artificial para Investigación y Competición. - Victoria Saravia; William Moraes; André da Silva Kelbouscas; Ricardo B. Grando (CoRR, 2022)

Desarollo de un Dron Low-Cost para Tareas Indoor. - Martin Mattos; Ricardo B. Grando; André da Silva Kelbouscas (CoRR, 2022)

Reconocimiento de Objetos a partir de Nube de Puntos en un Veículo Aéreo no Tripulado. - Agustina Marion de Freitas Vidal; Anthony Rodriguez; Richard Suarez; André da Silva Kelbouscas; Ricardo B. Grando (CoRR, 2022)

Double Critic Deep Reinforcement Learning for Mapless 3D Navigation of Unmanned Aerial Vehicles. - Ricardo Bedin Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Paulo Lilles Jorge Drews Junior (J. Intell. Robotic Syst., 2022)

Trajectory Planning for Hybrid Unmanned Aerial Underwater Vehicles with Smooth Media Transition. - Pedro M. Pinheiro; Armando Alves Neto; Ricardo B. Grando; César B. da Silva; Vivian M. Aoki; Dayana Cardoso; Alexandre C. Horn; Paulo L. J. Drews-Jr (J. Intell. Robotic Syst., 2022)

Prototyping of a Sealing Cap for a Hybrid Unmanned Aerial Underwater Vehicle with Onboard Instrumentation. - Adir A. Pedroso Jr.; Andressa Cavalcante da Silva; Matheus G. Mateus; Ricardo B. Grando; Guilherme C. Oliveira; Pedro L. Corçaque; Paulo L. J. Drews-Jr (CLAWAR (1), 2023)

DoCRL: Double Critic Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Matheus G. Mateus; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2023)

Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles. - Alisson Henrique Kolling; Victor Augusto Kich; Junior Costa de Jesus; Andressa Cavalcante da Silva; Ricardo Bedin Grando; Paulo Lilles Jorge Drews; Daniel Fernando Tello Gamarra (LARS/SBR/WRE, 2023)

Enhanced Low-Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots Using Double Deep Reinforcement Learning Techniques. - Linda Dotto de Moraes; Victor Augusto Kich; Alisson Henrique Kolling; Jair Augusto Bottega; Ricardo Bedin Grando; Anselmo Rafael Cukla; Daniel Fernando Tello Gamarra (LARS/SBR/WRE, 2023)

DoCRL: Double Critic Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (CoRR, 2023)

Diseno y Desarrollo de Prototipos Roboticos para Competencias de Futbol utilizando Motores Dynamixel. - Pablo Ezequiel Moraes; Hiago Jacobs Sodre Pereira; Mónica Rodríguez; André da Silva Kelbouscas; Jean Schuster; Cristiano Schuster; Ricardo B. Grando (CoRR, 2023)

Aplicacion de Robots Humanoides como Guias Interactivos en Museos: Una Simulacion con el Robot NAO. - Hiago Jacobs Sodre Pereira; Pablo Ezequiel Moraes; Mónica Rodríguez; Victor Castelli; Pamela Barboza; Martin Mattos; Guillermo Vivas; Bruna de Vargas; Tobias Doernbach; Ricardo B. Grando (CoRR, 2023)

Jubileo: An Immersive Simulation Framework for Social Robot Design. - Jair Augusto Bottega; Victor Augusto Kich; Junior Costa de Jesus; Raul Steinmetz; Alisson Henrique Kolling; Ricardo Bedin Grando; Rodrigo da Silva Guerra; Daniel Fernando Tello Gamarra (J. Intell. Robotic Syst., 2023)

Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning. - Ricardo B. Grando; Raul Steinmetz; Victor Augusto Kich; Alisson Henrique Kolling; Pablo M. Furik; Junior Costa de Jesus; Bruna de Vargas Guterres; Daniel Fernando Tello Gamarra; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (CASE, 2024)

Real-time Robotics Situation Awareness for Accident Prevention in Industry. - Juan M. Deniz; Andre S. Kelboucas; Ricardo Bedin Grando (LARS, 2024)

From Seedling to Harvest: The GrowingSoy Dataset for Weed Detection in Soy Crops via Instance Segmentation. - Raul Steinmetz; Victor Augusto Kich; Henrique L. Krever; João Davi Rigo Mazzarolo; Ricardo Bedin Grando; Vinicius Marini; Celio Trois; Ard Nieuwenhuizen (CIS-RAM, 2024)

Advancing Behavior Generation in Mobile Robotics through High-Fidelity Procedural Simulations. - Victor Augusto Kich; Jair Augusto Bottega; Raul Steinmetz; Ricardo B. Grando; Ayanori Yorozu; Akihisa Ohya (RO-MAN, 2024)

UruBots Autonomous Car Team Two: Team Description Paper for FIRA 2024. - William Moraes; Juan Deniz; Pablo Ezequiel Moraes; Christopher Peters 003; Vincent Sandin; Gabriel da Silva; Franco Nuñez; Maximo Retamar; Victoria Saravia; Hiago Jacobs Sodre Pereira; Sebastian Barcelona; Anthony Scirgalea; et al. (CoRR, 2024)

UruBots Autonomous Cars Team One Description Paper for FIRA 2024. - Pablo Ezequiel Moraes; Christopher Peters 003; Any Da Rosa; Vinicio Melgar; Franco Nuñez; Maximo Retamar; William Moraes; Victoria Saravia; Hiago Sodre; Sebastian Barcelona; Anthony Scirgalea; Juan Deniz; et al. (CoRR, 2024)

UruBots UAV - Air Emergency Service Indoor Team Description Paper for FIRA 2024. - Hiago Sodre; Sebastian Barcelona; Anthony Scirgalea; Brandon Macedo; Gabriel Sampson; Pablo Ezequiel Moraes; William Moraes; Victoria Saravia; Juan Deniz; Bruna Guterres; André L. S. da Kelbouscas; Ricardo B. Grando (CoRR, 2024)

Kolmogorov-Arnold Network for Online Reinforcement Learning. - Victor Augusto Kich; Jair Augusto Bottega; Raul Steinmetz; Ricardo Bedin Grando; Ayanori Yorozu; Akihisa Ohya (CoRR, 2024)

Parallel Distributional Deep Reinforcement Learning for Mapless Navigation of Terrestrial Mobile Robots. - Victor Augusto Kich; Alisson Henrique Kolling; Junior Costa de Jesus; Gabriel Vinícius Heisler; Hiago Jacobs Sodre Pereira; Jair Augusto Bottega; André L. S. da Kelbouscas; Akihisa Ohya; Ricardo Bedin Grando; Paulo Lilles Drews Jr.; Daniel Fernando Tello Gamarra (CoRR, 2024)

CURLing the Dream: Contrastive Representations for World Modeling in Reinforcement Learning. - Victor Augusto Kich; Jair Augusto Bottega; Raul Steinmetz; Ricardo Bedin Grando; Ayanori Yorozu; Akihisa Ohya (CoRR, 2024)

Behavior Cloning for Mini Autonomous Car Path Following. - Pablo Ezequiel Moraes; Christopher Peters 003; Hiago Sodre; William Moraes; Sebastian Barcelona; Juan Deniz; Victor Castelli; Bruna Guterres; Ricardo B. Grando (CoRR, 2024)

Interaç:ão entre robôs humanoides: desenvolvendo a colaboraç:ão e comunicaç:ão autônoma. - Pablo Ezequiel Moraes; Mónica Rodríguez; Christopher Peters 003; Hiago Sodre; Ahilen Mazondo; Vincent Sandin; Sebastian Barcelona; William Moraes; Santiago Fernández; Nathalie Assunção; Bruna de Vargas; Tobias Dörnbach; et al. (CoRR, 2024)

Configuraç:ão e operaç:ão da plataforma Clearpath Husky A200 e manipulador Cobot UR5 2-finger gripper. - Hiago Sodre; Sebastian Barcelona; Vincent Sandin; Pablo Ezequiel Moraes; Christopher Peters 003; Angél da Silva; Gabriela Florescu; Ahilen Mazondo; Santiago Fernández; Nathalie Assunção; Bruna de Vargas; Ricardo B. Grando; et al. (CoRR, 2024)

De la Extensión a la Investigación: Como La Robótica Estimula el Interés Académico en Estudiantes de Grado. - Gabriela Flores; Ahilen Mazondo; Pablo Moraes; Hiago Sodre; Christopher Peters 003; Victoria Saravia; Angél da Silva; Santiago Fernández; Bruna de Vargas; André Kelbouscas; Ricardo B. Grando; Nathalie Assunção (CoRR, 2024)

Image-based Mapless Navigation of a Hybrid Aerial-Underwater Vehicle using Prioritized Deep Reinforcement Learning. - Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Ricardo Bedin Grando; Rodrigo da Silva Guerra; Paulo Lilles Jorge Drews Junior (J. Intell. Robotic Syst., 2025)

UruBots RoboCup Work Team Description Paper. - Hiago Sodre; Juan M. Deniz; Pablo Moraes; William Moraes; Igor Nunes; Vincent Sandin; Ahilen Mazondo; Santiago Fernández; Gabriel da Silva; Mónica Rodríguez; Sebastian Barcelona; Ricardo B. Grando (CoRR, 2025)

RoboCup Rescue 2025 Team Description Paper UruBots. - Kevin Farias; Pablo Ezequiel Moraes; Igor Nunes; Juan Deniz; Sebastian Barcelona; Hiago Sodre; William Moraes; Mónica Rodríguez; Ahilen Mazondo; Vincent Sandin; Gabriel da Silva; Victoria Saravia; et al. (CoRR, 2025)

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation. - Diego Pollini; Bruna de Vargas Guterres; Rodrigo da Silva Guerra; Ricardo B. Grando (CoRR, 2025)

UruBots Autonomous Cars Challenge Pro Team Description Paper for FIRA 2025. - Pablo Moraes; Mónica Rodríguez; Sebastian Barcelona; Angél da Silva; Santiago Fernández; Hiago Sodre; Igor Nunes; Bruna Guterres; Ricardo B. Grando (CoRR, 2025)