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Soft Actuators for Soft Robotic Applications: A Review
Advanced Intelligent Systems, 2020 Soft robotics technologies are paving the way toward robotic abilities which are vital for a wide range of applications, including manufacturing, manipulation, gripping, human–machine interaction, locomotion, and more.
Nazek El‐Atab +8 more
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Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates [PDF]
IEEE International Conference on Robotics and Automation, 2016 Reinforcement learning holds the promise of enabling autonomous robots to learn large repertoires of behavioral skills with minimal human intervention. However, robotic applications of reinforcement learning often compromise the autonomy of the learning ...
S. Gu, E. Holly, T. Lillicrap, S. Levine
semanticscholar +1 more source
A Survey of Robotic Harvesting Systems and Enabling Technologies [PDF]
Journal of Intelligent and Robotic Systems, 2022 This paper presents a comprehensive review of ground agricultural robotic systems and applications with special focus on harvesting that span research and commercial products and results, as well as their enabling technologies. The majority of literature
Leonidas Droukas +9 more
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Non-reciprocal robotic metamaterials [PDF]
Nature Communications, 2019 Non-reciprocal transmission of motion is potentially highly beneficial to a wide range of applications, ranging from wave guiding to shock and vibration damping and energy harvesting.
M. Brandenbourger +3 more
semanticscholar +1 more source
Detecting the single line to ground short circuit fault in the submarine’s power system using the artificial neural network [PDF]
Serbian Journal of Electrical Engineering, 2013 The electric marine instruments are newly inserted in the trade and industry, for which the existence of an equipped and reliable power system is necessitated.
Behniafar Ali +3 more
doaj +1 more source
Deep learning for detecting robotic grasps [PDF]
Int. J. Robotics Res., 2013 We consider the problem of detecting robotic grasps in an RGB-D view of a scene containing objects. In this work, we apply a deep learning approach to solve this problem, which avoids time-consuming hand-design of features.
Ian Lenz, Honglak Lee, Ashutosh Saxena
semanticscholar +1 more source
Uro, 2023 Background: Chronic Prostatitis/Chronic Pelvic Pain syndrome NIH-class III is a widespread condition affecting men universally, with existing treatments showing limited success.
Luca Lambertini +18 more
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The KIT swiss knife gripper for disassembly tasks: a multi-functional gripper for bimanual manipulation with a single arm [PDF]
, 2018 © 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Asfour, Tamim +4 more
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Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network [PDF]
IEEE/RJS International Conference on Intelligent RObots and Systems, 2019 In this paper, we present a modular robotic system to tackle the problem of generating and performing antipodal robotic grasps for unknown objects from the n-channel image of the scene. We propose a novel Generative Residual Convolutional Neural Network (
Sulabh Kumra, Shirin Joshi, F. Sahin
semanticscholar +1 more source
The Capturing of Space Debris with a Spaceborne Multi-fingered Gripper
MATEC Web of Conferences, 2017 With the massive launching of spacecraft, more and more space debris are making the low Earth orbit (LEO) much more crowded which seriously affects the normal flight of other spacecrafts.
Zhang Yin, Zhan Qiang
doaj +1 more source