Robotics Domain
Robotics research currently focuses on enhancing robot autonomy, safety, and dexterity, particularly in unstructured environments. Key areas include developing robust control algorithms (like Model Predictive Control and reinforcement learning), improving perception through advanced sensor fusion and generative models, and creating more efficient and adaptable robot designs. These advancements are driving progress in diverse applications such as agriculture, healthcare, and manufacturing, ultimately aiming to create more capable and reliable robots for a wider range of tasks.
Papers
Applying PBL in the Development and Modeling of kinematics for Robotic Manipulators with Interdisciplinarity between Computer-Assisted Project, Robotics, and Microcontrollers
Afonso Henriques Fontes Neto Segundo, Joel Sotero da Cunha Neto, Paulo Cirillo Souza Barbosa, Raul Fontenele Santana
Aplica\c{c}\~ao de ros como ferramenta de ensino a rob\'otica / using ros as a robotics teaching tool
Daniel Maia Evangelista, Pedro Benevides Cavalcante, Afonso Henriques Fontes Neto Segundo
Desenvolvimento de ferramenta de simula\c{c}\~ao para aux\'ilio no ensino da disciplina de rob\'otica industrial
Afonso Henriques Fontes Neto Segundo, Joel Sotero da Cunha Neto, Halisson Alves de Oliveira, Átila Girão de Oliveira, Reginaldo Florencio da Silva
FloorGenT: Generative Vector Graphic Model of Floor Plans for Robotics
Ludvig Ericson, Patric Jensfelt
Augmented Reality and Robotics: A Survey and Taxonomy for AR-enhanced Human-Robot Interaction and Robotic Interfaces
Ryo Suzuki, Adnan Karim, Tian Xia, Hooman Hedayati, Nicolai Marquardt
Piloting Diversity and Inclusion Workshops in Artificial Intelligence and Robotics for Children
Antonio Badillo-Perez, Donato Badillo-Perez, Diego Coyotzi-Molina, Dago Cruz, Rocio Montenegro, Leticia Vazquez, Miguel Xochicale