Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Mustafa Mukadam"'
Autor:
Nathan Ratliff, Byron Boots, Stan Birchfield, Jan Issac, Dieter Fox, Mustafa Mukadam, Ching-An Cheng
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 18:968-987
Generating robot motion for multiple tasks in dynamic environments is challenging, requiring an algorithm to respond reactively while accounting for complex nonlinear relationships between tasks. In this article, we develop a novel policy synthesis a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa3b2649f8470f977ea8a37d4d1601ba
https://doi.org/10.1109/tase.2021.3053422
https://doi.org/10.1109/tase.2021.3053422
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030954581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c03f0094d732714e5b4000c629595ba
https://doi.org/10.1007/978-3-030-95459-8_16
https://doi.org/10.1007/978-3-030-95459-8_16
Publikováno v:
ICRA
Aerial vehicles are revolutionizing the way film-makers can capture shots of actors by composing novel aerial and dynamic viewpoints. However, despite great advancements in autonomous flight technology, generating expressive camera behaviors is still
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::177946d81aaba701e503d64ee5295e88
https://doi.org/10.1109/icra48506.2021.9560745
https://doi.org/10.1109/icra48506.2021.9560745
One of the fundamental goals of visual perception is to allow agents to meaningfully interact with their environment. In this paper, we take a step towards that long-term goal -- we extract highly localized actionable information related to elementar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::260d7b10e521037c860b14b884d699c0
We propose a novel sparse constrained formulation and from it derive a real-time optimization method for 3D human pose and shape estimation. Our optimization method, SCOPE (Sparse Constrained Optimization for 3D human Pose and shapE estimation), is o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c41f5ac53ceace9831e20495a8238dec
Publikováno v:
ICRA
We're interested in the problem of estimating object states from touch during manipulation under occlusions. In this work, we address the problem of estimating object poses from touch during planar pushing. Vision-based tactile sensors provide rich,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f42b256e53ac0d5edc1b2afd0903b13
http://arxiv.org/abs/2012.03768
http://arxiv.org/abs/2012.03768
Publikováno v:
ICRA
Modern trajectory optimization based approaches to motion planning are fast, easy to implement, and effective on a wide range of robotics tasks. However, trajectory optimization algorithms have parameters that are typically set in advance (and rarely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c735da9fb61549b9e021cf4091a1bb4
https://doi.org/10.1109/icra40945.2020.9197260
https://doi.org/10.1109/icra40945.2020.9197260
Autor:
Ching-An Cheng, Byron Boots, Stan Birchfield, Dieter Fox, Nathan Ratliff, Mustafa Mukadam, Jan Issac
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030440503
WAFR
WAFR
We develop a novel policy synthesis algorithm, RMPflow, based on geometrically consistent transformations of Riemannian Motion Policies (RMPs). RMPs are a class of reactive motion policies designed to parameterize non-Euclidean behaviors as dynamical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01909a46f2bbe0c3a5d7d9157ed9ec85
https://doi.org/10.1007/978-3-030-44051-0_26
https://doi.org/10.1007/978-3-030-44051-0_26
Publikováno v:
IROS
Efficient planning in dynamic and uncertain environments is a fundamental challenge in robotics. In the context of trajectory optimization, the feasibility of paths can change as the environment evolves. Therefore, it can be beneficial to reason abou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6deef9148c4b0cb9814a16bbac7197f
http://arxiv.org/abs/1908.00641
http://arxiv.org/abs/1908.00641
Autor:
Mustafa Mukadam, Alexander Lambert, Dieter Fox, Nathan Ratliff, Balakumar Sundaralingam, Byron Boots
Publikováno v:
ICRA
To perform complex tasks, robots must be able to interact with and manipulate their surroundings. One of the key challenges in accomplishing this is robust state estimation during physical interactions, where the state involves not only the robot and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bd86abde58650650d0350f9d7e3d7f0
https://doi.org/10.1109/icra.2019.8794048
https://doi.org/10.1109/icra.2019.8794048