Zobrazeno 1 - 10
of 17 484
pro vyhledávání: '"Figueredo AT"'
Autor:
Yao, Haowen, Laha, Riddhiman, Sinha, Anirban, Hall, Jonas, Figueredo, Luis F. C., Chakraborty, Nilanjan, Haddadin, Sami
This paper is about generating motion plans for high degree-of-freedom systems that account for collisions along the entire body. A particular class of mathematical programs with complementarity constraints become useful in this regard. Optimization-
Externí odkaz:
http://arxiv.org/abs/2410.22049
Autor:
Zhang, Liding, Cai, Kuanqi, Sun, Zewei, Bing, Zhenshan, Wang, Chaoqun, Figueredo, Luis, Haddadin, Sami, Knoll, Alois
Recent advancements in robotics have transformed industries such as manufacturing, logistics, surgery, and planetary exploration. A key challenge is developing efficient motion planning algorithms that allow robots to navigate complex environments wh
Externí odkaz:
http://arxiv.org/abs/2410.19414
Autor:
Mitchell-White, James, Omdivar, Reza, Urwin, Esmond, Sivakumar, Karthikeyan, Li, Ruizhe, Rae, Andy, Wang, Xiaoyan, Mina, Theresia, Chambers, John, Figueredo, Grazziela, Quinlan, Philip R
This paper introduces Llettuce, an open-source tool designed to address the complexities of converting medical terms into OMOP standard concepts. Unlike existing solutions such as the Athena database search and Usagi, which struggle with semantic nua
Externí odkaz:
http://arxiv.org/abs/2410.09076
Autor:
Kadi, Halid Abdulrahim, Chandy, Jose Alex, Figueredo, Luis, Terzić, Kasim, Caleb-Solly, Praminda
The fidelity gap between simulation-trained vision-based data-driven cloth neural controllers and real-world operation impedes reliable deployment of methods from simulation into physical trials. Real-world grasping errors, such as misgrasping and mu
Externí odkaz:
http://arxiv.org/abs/2409.15159
We propose a method to systematically represent both the static and the dynamic components of environments, i.e. objects and agents, as well as the changes that are happening in the environment, i.e. the actions and skills performed by agents. Our ap
Externí odkaz:
http://arxiv.org/abs/2409.08853
Data is crucial for evidence-based policymaking and enhancing public services, including those at the Ministry of Finance of the Republic of Indonesia. However, the complexity and dynamic nature of governmental financial data and regulations can hind
Externí odkaz:
http://arxiv.org/abs/2407.21459
Automatic radiology report generation can alleviate the workload for physicians and minimize regional disparities in medical resources, therefore becoming an important topic in the medical image analysis field. It is a challenging task, as the comput
Externí odkaz:
http://arxiv.org/abs/2405.12833
Deformable image registration (alignment) is highly sought after in numerous clinical applications, such as computer aided diagnosis and disease progression analysis. Deep Convolutional Neural Network (DCNN)-based image registration methods have demo
Externí odkaz:
http://arxiv.org/abs/2405.10068
Quantifying cyber risks is essential for organizations to grasp their vulnerability to threats and make informed decisions. However, current approaches still need to work on blending economic viewpoints to provide insightful analysis. To bridge this
Externí odkaz:
http://arxiv.org/abs/2405.03513
Autor:
Schonger, Martin, Kussaba, Hugo T. M., Chen, Lingyun, Figueredo, Luis, Swikir, Abdalla, Billard, Aude, Haddadin, Sami
Established techniques that enable robots to learn from demonstrations are based on learning a stable dynamical system (DS). To increase the robots' resilience to perturbations during tasks that involve static obstacle avoidance, we propose incorpora
Externí odkaz:
http://arxiv.org/abs/2403.08178