Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Ma, Daolin"'
Publikováno v:
In Aerospace Science and Technology July 2024 150
Publikováno v:
ICRA 2021
In this paper, we propose the reduced model for the full dynamics of a bicycle and analyze its nonlinear behavior under a proportional control law for steering. Based on the Gibbs-Appell equations for the Whipple bicycle, we obtain a second-order non
Externí odkaz:
http://arxiv.org/abs/2103.16051
This paper addresses the localization of contacts of an unknown grasped rigid object with its environment, i.e., extrinsic to the robot. We explore the key role that distributed tactile sensing plays in localizing contacts external to the robot, in c
Externí odkaz:
http://arxiv.org/abs/2103.08108
Robot grasping with deformable gripper jaws results in nonplanar surface contacts if the jaws deform to the nonplanar local geometry of an object. The frictional force and torque that can be transmitted through a nonplanar surface contact are both th
Externí odkaz:
http://arxiv.org/abs/1909.06885
Publikováno v:
In Mechanical Systems and Signal Processing 15 February 2023 185
In this paper, we propose an approach to detect incipient slip, i.e. predict slip, by using a high-resolution vision-based tactile sensor, GelSlim. The sensor dynamically captures the tactile imprints of the contact object and their changes with a so
Externí odkaz:
http://arxiv.org/abs/1810.13381
In this paper, we present a new version of tactile sensor GelSlim 2.0 with the capability to estimate the contact force distribution in real time. The sensor is vision-based and uses an array of markers to track deformations on a gel pad due to conta
Externí odkaz:
http://arxiv.org/abs/1810.04621
Autor:
Ma, Daolin, Rodriguez, Alberto
Friction plays a key role in manipulating objects. Most of what we do with our hands, and most of what robots do with their grippers, is based on the ability to control frictional forces. This paper aims to better understand the variability and predi
Externí odkaz:
http://arxiv.org/abs/1802.10089
Autor:
Zeng, Andy, Song, Shuran, Yu, Kuan-Ting, Donlon, Elliott, Hogan, Francois R., Bauza, Maria, Ma, Daolin, Taylor, Orion, Liu, Melody, Romo, Eudald, Fazeli, Nima, Alet, Ferran, Dafle, Nikhil Chavan, Holladay, Rachel, Morona, Isabella, Nair, Prem Qu, Green, Druck, Taylor, Ian, Liu, Weber, Funkhouser, Thomas, Rodriguez, Alberto
This paper presents a robotic pick-and-place system that is capable of grasping and recognizing both known and novel objects in cluttered environments. The key new feature of the system is that it handles a wide range of object categories without nee
Externí odkaz:
http://arxiv.org/abs/1710.01330
Akademický článek
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