Victor Augusto Kich

According to our database, Victor Augusto Kich authored at least 26 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Delta robot control by learning systems: Harnessing the power of deep reinforcement learning algorithms.

Matheus dos Santos Lima, Victor Augusto Kich, Raul Steinmetz, Daniel Fernando Tello Gamarra

J. Intell. Fuzzy Syst., February, 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

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

Kolmogorov-Arnold Network for Online Reinforcement Learning.

Victor Augusto Kich, Jair Augusto Bottega, Raul Steinmetz, Ricardo Bedin Grando, Ayanori Yorozu, Akihisa Ohya

CoRR, 2024

Precision and Adaptability of YOLOv5 and YOLOv8 in Dynamic Robotic Environments.

Victor Augusto Kich, Muhammad A. Muttaqien, Junya Toyama, Ryutaro Miyoshi, Yosuke Ida, Akihisa Ohya, Hisashi Date

CoRR, 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, Joao D. Rigo Mazzarolo, Ricardo B. Grando, Vinicius Marini, Celio Trois, Ard Nieuwenhuizen

CoRR, 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

Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

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

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

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., December, 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

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

Proceedings of the Latin American Robotics Symposium, 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

Proceedings of the Latin American Robotics Symposium, 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

Proceedings of the Latin American Robotics Symposium, 2023

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

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

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

Bibliographic Analysis of the Capacity and Applicability of Li-Fi Networks.

Kelvin I. Seibt, Victor Augusto Kich, Gabriel Vinícius Heisler

CoRR, 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, Pedro M. Pinheiro, Rodrigo da Silva Guerra, Paulo Lilles Drews Jr.

Proceedings of the Latin American Robotics Symposium, 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

Proceedings of the Latin American Robotics Symposium, 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

Proceedings of the Latin American Robotics Symposium, 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

Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

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.

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Jubileo: An Open-Source Robot and Framework for Research in Human-Robot Social Interaction.

Jair Augusto Bottega, Victor Augusto Kich, Alisson Henrique Kolling, Jardel D. S. Dyonisio, Pedro L. Corçaque, Rodrigo da Silva Guerra, Daniel Fernando Tello Gamarra

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

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

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2021