Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Andreas ten Pas"'
Autor:
Dian Wang, Colin Kohler, Andreas ten Pas, Alexander Wilkinson, Maozhi Liu, Holly Yanco, Robert Platt
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030954581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d70cdc5aa572fe09da8806656ce2069
https://doi.org/10.1007/978-3-030-95459-8_22
https://doi.org/10.1007/978-3-030-95459-8_22
Publikováno v:
ICRA
The problem of finding and grasping a target object in a cluttered, uncertain environment, target object search, is a common and important problem in robotics. One key challenge is the uncertainty of locating and recognizing each object in a cluttere
Publikováno v:
ICRA
We propose a novel formulation of robotic pick and place as a deep reinforcement learning (RL) problem. Whereas most deep RL approaches to robotic manipulation frame the problem in terms of low level states and actions, we propose a more abstract for
Autor:
Robert W. Platt, Andreas ten Pas
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783319515311
ISRR (1)
ISRR (1)
This paper proposes a new approach to using machine learning to detect grasp poses on novel objects presented in clutter. The input to our algorithm is a point cloud and the geometric parameters of the robot hand. The output is a set of hand poses th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e98eeb1a9bf2da80a35b47b87a0cff5
https://doi.org/10.1007/978-3-319-51532-8_19
https://doi.org/10.1007/978-3-319-51532-8_19
Recently, a number of grasp detection methods have been proposed that can be used to localize robotic grasp configurations directly from sensor data without estimating object pose. The underlying idea is to treat grasp perception analogously to objec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78de579c442206ae71fde531223c3cf5
http://arxiv.org/abs/1706.09911
http://arxiv.org/abs/1706.09911
Autor:
Robert W. Platt, Marcus Gualtieri, Abraham Shultz, Andreas ten Pas, James Kuczynski, Holly A. Yanco
Publikováno v:
ICRA
Many people with motor disabilities are unable to complete activities of daily living (ADLs) without assistance. This paper describes a complete robotic system developed to provide mobile grasping assistance for ADLs. The system is comprised of a rob
Publikováno v:
IROS
This paper considers the problem of grasp pose detection in point clouds. We follow a general algorithmic structure that first generates a large set of 6-DOF grasp candidates and then classifies each of them as a good or a bad grasp. Our focus in thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::194cd2653f5c50e32486867e716be8e6
Autor:
Robert W. Platt, Andreas ten Pas
Publikováno v:
Experimental Robotics ISBN: 9783319237770
ISER
ISER
We propose a new approach to localizing handle-like grasp affordances in 3-D point clouds. The main idea is to identify a set of sufficient geometric conditions for the existence of a grasp affordance and to search the point cloud for neighborhoods t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f8ce6981fdefdc77f0001896736590f
https://doi.org/10.1007/978-3-319-23778-7_41
https://doi.org/10.1007/978-3-319-23778-7_41
Publikováno v:
IROS
This paper introduces and characterizes the Baxter Easyhand, a new 3D printed hand derived from the Yale T42 hand [5], [10], but designed specifically to be mounted on the Baxter robot from Rethink robotics. Because this hand is designed specifically