Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Paolillo, Antonio"'
Today robots must be safe, versatile, and user-friendly to operate in unstructured and human-populated environments. Dynamical system-based imitation learning enables robots to perform complex tasks stably and without explicit programming, greatly si
Externí odkaz:
http://arxiv.org/abs/2406.09120
For a service robot, it is crucial to perceive as early as possible that an approaching person intends to interact: in this case, it can proactively enact friendly behaviors that lead to an improved user experience. We solve this perception task with
Externí odkaz:
http://arxiv.org/abs/2404.01986
In everyday life collaboration tasks between human operators and robots, the former necessitate simple ways for programming new skills, the latter have to show adaptive capabilities to cope with environmental changes. The joint use of visual servoing
Externí odkaz:
http://arxiv.org/abs/2309.07729
A service robot can provide a smoother interaction experience if it has the ability to proactively detect whether a nearby user intends to interact, in order to adapt its behavior e.g. by explicitly showing that it is available to provide a service.
Externí odkaz:
http://arxiv.org/abs/2309.07477
An increasing number of nonspecialist robotic users demand easy-to-use machines. In the context of visual servoing, the removal of explicit image processing is becoming a trend, allowing an easy application of this technique. This work presents a dee
Externí odkaz:
http://arxiv.org/abs/2210.10549
Autor:
Paolillo, Antonio, Saveriano, Matteo
This work presents the dual benefit of integrating imitation learning techniques, based on the dynamical systems formalism, with the visual servoing paradigm. On the one hand, dynamical systems allow to program additional skills without explicitly co
Externí odkaz:
http://arxiv.org/abs/2204.05681
Autor:
Paolillo, Antonio, Ponce-de-León, Hernán, Haas, Thomas, Behrens, Diogo, Chehab, Rafael, Fu, Ming, Meyer, Roland
Developing concurrent software is challenging, especially if it has to run on modern architectures with Weak Memory Models (WMMs) such as ARMv8, Power, or RISC-V. For the sake of performance, WMMs allow hardware and compilers to aggressively reorder
Externí odkaz:
http://arxiv.org/abs/2111.15240
We propose a general self-supervised learning approach for spatial perception tasks, such as estimating the pose of an object relative to the robot, from onboard sensor readings. The model is learned from training episodes, by relying on: a continuou
Externí odkaz:
http://arxiv.org/abs/2103.12007
Publikováno v:
In Robotics and Autonomous Systems January 2024 171
Autor:
Oberhauser, Jonas, Chehab, Rafael Lourenco de Lima, Behrens, Diogo, Fu, Ming, Paolillo, Antonio, Oberhauser, Lilith, Bhat, Koustubha, Wen, Yuzhong, Chen, Haibo, Kim, Jaeho, Vafeiadis, Viktor
This technical report contains material accompanying our work with same title published at ASPLOS'21. We start in Sec. 1 with a detailed presentation of the core innovation of this work, Await Model Checking (AMC). The correctness proofs of AMC can b
Externí odkaz:
http://arxiv.org/abs/2102.06590