Untethered microgripper-the dexterous hand at microscale.
Sign Up to like & getrecommendations! Published in 2019 at "Biomedical microdevices"
DOI: 10.1007/s10544-019-0430-9
Abstract: Untethered microgrippers that can navigate in hard-to-reach and unpredictable environments are significantly important for biomedical applications such as targeted drug delivery, micromanipulation, minimally invasive surgery and in vivo biopsy. Compared with the traditional tethered microgrippers,… read more here.
Keywords: microgripper dexterous; dexterous hand; untethered microgripper; hand microscale ... See more keywords
Strategies for Autonomous Sensor-Brain Interfaces for Closed-Loop Sensory Reanimation of Paralyzed Limbs.
Sign Up to like & getrecommendations! Published in 2017 at "Neurosurgery"
DOI: 10.1093/neuros/nyx367
Abstract: Copyright C © 2017 by the Congress of Neurological Surgeons T he dexterous hand is a defining feature of human existence. Evolved over tens of millions of years, modern humans are able to perform remarkable… read more here.
Keywords: autonomous sensor; strategies autonomous; paralyzed limbs; hand ... See more keywords
Object-Level Impedance Control for Dexterous In-Hand Manipulation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.2974702
Abstract: This work presents a novel object-level control framework for the dexterous in-hand manipulation of objects with torque-controlled robotic hands. The proposed impedance-based controller realizes the compliant 6-DOF positioning of a grasped object. Enabled by the… read more here.
Keywords: control; hand; hand manipulation; object level ... See more keywords
Learning Continuous Grasping Function With a Dexterous Hand From Human Demonstrations
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3261745
Abstract: We propose to learn to generate grasping motion for manipulation with a dexterous hand using implicit functions. With continuous time inputs, the model can generate a continuous and smooth grasping plan. We name the proposed… read more here.
Keywords: continuous grasping; human demonstrations; hand; dexterous hand ... See more keywords
Robotic Grasping of Unknown Objects Using Novel Multilevel Convolutional Neural Networks: From Parallel Gripper to Dexterous Hand
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2020.3017022
Abstract: To achieve high-accuracy grasping of unknown objects, we present novel multilevel convolutional neural networks (CNNs) for robotic grasping with a parallel gripper or multifingered dexterous hand. The multilevel CNNs include four levels with different structures… read more here.
Keywords: unknown objects; multilevel convolutional; grasping unknown; parallel gripper ... See more keywords
Electromyography Based Decoding of Dexterous, In-Hand Manipulation Motions With Temporal Multichannel Vision Transformers
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3196622
Abstract: Electromyography (EMG) signals have been used in designing muscle-machine interfaces (MuMIs) for various applications, ranging from entertainment (EMG controlled games) to human assistance and human augmentation (EMG controlled prostheses and exoskeletons). For this, classical machine… read more here.
Keywords: emg; hand; hand manipulation; dexterous hand ... See more keywords