Zobrazeno 1 - 10
of 629
pro vyhledávání: '"Moura, João"'
Non-prehensile planar pushing is a challenging task due to its underactuated nature with hybrid-dynamics, where a robot needs to reason about an object's long-term behaviour and contact-switching, while being robust to contact uncertainty. The presen
Externí odkaz:
http://arxiv.org/abs/2403.17667
Autor:
Yan, Lei, Stouraitis, Theodoros, Moura, João, Xu, Wenfu, Gienger, Michael, Vijayakumar, Sethu
This paper investigates one of the most challenging tasks in dynamic manipulation -- catching large-momentum moving objects. Beyond the realm of quasi-static manipulation, dealing with highly dynamic objects can significantly improve the robot's capa
Externí odkaz:
http://arxiv.org/abs/2403.17249
Recognising the characteristics of objects while a robot handles them is crucial for adjusting motions that ensure stable and efficient interactions with containers. Ahead of realising stable and efficient robot motions for handling/transferring the
Externí odkaz:
http://arxiv.org/abs/2403.10689
Autor:
Moura, João, Almeida, Ana Margarida Pisco, Roque, Fátima, Figueiras, Adolfo, Herdeiro, Maria Teresa
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 1, p e19194 (2021)
BackgroundThe misuse of antibiotics is a global public health issue that fosters bacterial resistance and jeopardizes generational health. The development of validated tools such as web-based courses and mobile apps to enhance clinical decisions in u
Externí odkaz:
https://doaj.org/article/24a3c74d3a6c41da82dfcd00532fc9e0
From dishwashers to cabinets, humans interact with articulated objects every day, and for a robot to assist in common manipulation tasks, it must learn a representation of articulation. Recent deep learning learning methods can provide powerful visio
Externí odkaz:
http://arxiv.org/abs/2309.16343
In many contact-rich tasks, force sensing plays an essential role in adapting the motion to the physical properties of the manipulated object. To enable robots to capture the underlying distribution of object properties necessary for generalising lea
Externí odkaz:
http://arxiv.org/abs/2309.04640
Developing robot controllers capable of achieving dexterous nonprehensile manipulation, such as pushing an object on a table, is challenging. The underactuated and hybrid-dynamics nature of the problem, further complicated by the uncertainty resultin
Externí odkaz:
http://arxiv.org/abs/2308.02459
Autor:
de Oliveira, Aline Lima, Gomes, Cauê Addae da Silva, da Silva, Cecília Virginia Santos, Alves, Charles Matheus de Sousa, de Souza, Danilo Andrade Martins, Xavier, Driele Pires Ferreira Araújo, da Silva, Edgleyson Pereira, Martins, Felipe Bezerra, Santos, Lucas Henrique Cavalcanti, Maciel, Lucas Dias, Santos, Matheus Paixão Gumercindo dos, Vasconcelos, Matheus Lafayette, Andrade, Matheus Vinícius Teotonio do Nascimento, de Melo, João Guilherme Oliveira Carvalho, de Moura, João Pedro Souza Pereira, da Silva, José Ronald, Cruz, José Victor Silva, de Morais, Pedro Henrique Santana, de Oliveira, Pedro Paulo Salman, Rodrigues, Riei Joaquim Matos, Fernandes, Roberto Costa, Morais, Ryan Vinicius Santos, Teobaldo, Tamara Mayara Ramos, Silva, Washington Igor dos Santos, Barros, Edna Natividade Silva
Rob\^oCIn has participated in RoboCup Small Size League since 2019, won its first world title in 2022 (Division B), and is currently a three-times Latin-American champion. This paper presents our improvements to defend the Small Size League (SSL) div
Externí odkaz:
http://arxiv.org/abs/2307.10018