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ABSTRACT:
PROVIDER: PRJEB57772 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:These methylation data generated using EM-seq for all the NAM lines (as a part of the genome assembly project of NAM by the NAM Consortium Group). B73=project ID PRJEB32225/ERP114875; B73Ab10=project ID PRJEB35367/ERP118403; the rest of the NAMs=project ID PRJEB31061/ERP113571
2021-03-12 | E-MTAB-10088 | biostudies-arrayexpress
Project description:This paper presents a teleoperation system of robot grasping for undefined objects based on a real-time EEG (Electroencephalography) measurement and shared autonomy. When grasping an undefined object in an unstructured environment, real-time human decision is necessary since fully autonomous grasping may not handle uncertain situations. The proposed system allows involvement of a wide range of human decisions throughout the entire grasping procedure, including 3D movement of the gripper, selecting proper grasping posture, and adjusting the amount of grip force. These multiple decision-making procedures of the human operator have been implemented with six flickering blocks for steady-state visually evoked potentials (SSVEP) by dividing the grasping task into predefined substeps. Each substep consists of approaching the object, selecting posture and grip force, grasping, transporting to the desired position, and releasing. The graphical user interface (GUI) displays the current substep and simple symbols beside each flickering block for quick understanding. The tele-grasping of various objects by using real-time human decisions of selecting among four possible postures and three levels of grip force has been demonstrated. This system can be adapted to other sequential EEG-controlled teleoperation tasks that require complex human decisions.
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