Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Edward H. Adelson"'
Publikováno v:
Sensors, Vol 17, Iss 12, p 2762 (2017)
Tactile sensing is an important perception mode for robots, but the existing tactile technologies have multiple limitations. What kind of tactile information robots need, and how to use the information, remain open questions. We believe a soft sensor
Externí odkaz:
https://doaj.org/article/ce59c4f1d82840c28eaf0f7641f5fd94
This paper describes a machine vision system that classifies reflectance properties of surfaces such as metal, plastic, or paper, under unknown real-world illumination. We demonstrate performance of our algorithm for surfaces of arbitrary geometry. R
Externí odkaz:
http://hdl.handle.net/1721.1/6664
Autor:
Megha H. Tippur, Edward H. Adelson
Camera-based tactile sensors have shown great promise in enhancing a robot's ability to perform a variety of dexterous manipulation tasks. Advantages of their use can be attributed to the high resolution tactile data and 3D depth map reconstructions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::789156c6fa83675843e68c7a15f68c13
Autor:
Sandra Q. Liu, Edward H. Adelson
To adapt to constantly changing environments and be safe for human interaction, robots should have compliant and soft characteristics as well as the ability to sense the world around them. Even so, the incorporation of tactile sensing into a soft com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cca9184933411f15fa699f4bb7696e82
Publikováno v:
ICRA
Vision-based tactile sensors have the potential to provide important contact geometry to localize the objective with visual occlusion. However, it is challenging to measure high-resolution 3D contact geometry for a compact robot finger, to simultaneo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fa34ae5d236570b68a1dc191f2ed54a
https://doi.org/10.1109/icra48506.2021.9560783
https://doi.org/10.1109/icra48506.2021.9560783
Publikováno v:
Experimental Robotics ISBN: 9783030711504
ISER
ISER
Imagine you are at the beach with a metal detector which goes off, and you stick your hands in the sand to find the metal object. Even though the granular media (sand) is constantly affecting your sense of touch on your fingers and palm, its acuity c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11626e5ff4017c9a26d05c0ea8f7d5db
https://doi.org/10.1007/978-3-030-71151-1_10
https://doi.org/10.1007/978-3-030-71151-1_10
Publikováno v:
arXiv
IROS
IROS
Several robot manipulation tasks are extremely sensitive to variations of the physical properties of the manipulated objects. One such task is manipulating objects by using gravity or arm accelerations, increasing the importance of mass, center of ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef0206bdd581fc2d03edcf9190855d9b
https://hdl.handle.net/1721.1/138159
https://hdl.handle.net/1721.1/138159
Publikováno v:
arXiv
ICRA
ICRA
© 2020 IEEE. High resolution tactile sensors are often bulky and have shape profiles that make them awkward for use in manipulation. This becomes important when using such sensors as fingertips for dexterous multi-fingered hands, where boxy or plana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b43f136b0f9e10f59fecf8eba749ad94
Autor:
Edward H. Adelson, Jitendra Malik, Andrew Owens, Wenzhen Yuan, Dinesh Jayaraman, Justin Lin, Sergey Levine, Roberto Calandra
Publikováno v:
arXiv
For humans, the process of grasping an object relies heavily on rich tactile feedback. Most recent robotic grasping work, however, has been based only on visual input, and thus cannot easily benefit from feedback after initiating contact. In this pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b4b1b54607823f96110b0eb48b8fe92
https://doi.org/10.1109/lra.2018.2852779
https://doi.org/10.1109/lra.2018.2852779
Publikováno v:
ICRA
arXiv
arXiv
Soft robots offer significant advantages in adaptability, safety, and dexterity compared to conventional rigid-body robots. However, it is challenging to equip soft robots with accurate proprioception and tactile sensing due to their high flexibility
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::543f816403189561a82b2da7a6f1de8e
http://arxiv.org/abs/1910.01287
http://arxiv.org/abs/1910.01287