AIMC Topic: Man-Machine Systems
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Controlling robots in the home: Factors that affect the performance of novice robot operators.
Applied ergonomics
Jun 6, 2017
For robots to successfully integrate into everyday life, it is important that they can be effectively controlled by laypeople. However, the task of manually controlling mobile robots can be challenging due to demanding cognitive and sensorimotor requ...
Skill Learning and Skill Transfer Mediated by Cooperative Haptic Interaction.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
May 8, 2017
It is known that physical coupling between two subjects may be advantageous in joint tasks. However, little is known about how two people mutually exchange information to exploit the coupling. Therefore, we adopted a reversed, novel perspective to th...
A preliminary investigation into the design of pressure cushions and their potential applications for forearm robotic orthoses.
Biomedical engineering online
May 8, 2017
BACKGROUND: Load cells are often used in rehabilitation robotics to monitor human-robot interaction. While load cells are accurate and suitable for the stationary end-point robots used in rehabilitation hospitals, their cost and inability to conform ...
Deep learning-based artificial vision for grasp classification in myoelectric hands.
Journal of neural engineering
May 3, 2017
OBJECTIVE: Computer vision-based assistive technology solutions can revolutionise the quality of care for people with sensorimotor disorders. The goal of this work was to enable trans-radial amputees to use a simple, yet efficient, computer vision sy...
A Human-Robot Co-Manipulation Approach Based on Human Sensorimotor Information.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Apr 17, 2017
This paper aims to improve the interaction and coordination between the human and the robot in cooperative execution of complex, powerful, and dynamic tasks. We propose a novel approach that integrates online information about the human motor functio...
HRI usability evaluation of interaction modes for a teleoperated agricultural robotic sprayer.
Applied ergonomics
Mar 22, 2017
Teleoperation of an agricultural robotic system requires effective and efficient human-robot interaction. This paper investigates the usability of different interaction modes for agricultural robot teleoperation. Specifically, we examined the overall...
Modeling and control of operator functional state in a unified framework of fuzzy inference petri nets.
Computer methods and programs in biomedicine
Mar 21, 2017
BACKGROUND AND OBJECTIVE: In human-machine (HM) hybrid control systems, human operator and machine cooperate to achieve the control objectives. To enhance the overall HM system performance, the discrete manual control task-load by the operator must b...
Goal-recognition-based adaptive brain-computer interface for navigating immersive robotic systems.
Journal of neural engineering
Mar 15, 2017
OBJECTIVE: This work proposes principled strategies for self-adaptations in EEG-based Brain-computer interfaces (BCIs) as a way out of the bandwidth bottleneck resulting from the considerable mismatch between the low-bandwidth interface and the bandw...
Pattern Recognition, Automated
Brain-Computer Interfaces
Man-Machine Systems
Adaptation, Physiological
Humans
Models, Statistical
Algorithms
Robotics
Computer Simulation
Reproducibility of Results
Biofeedback, Psychology
Sensitivity and Specificity
Psychomotor Performance
User-Computer Interface
Goals
3-D-Gaze-Based Robotic Grasping Through Mimicking Human Visuomotor Function for People With Motion Impairments.
IEEE transactions on bio-medical engineering
Mar 3, 2017
OBJECTIVE: The goal of this paper is to achieve a novel 3-D-gaze-based human-robot-interaction modality, with which a user with motion impairment can intuitively express what tasks he/she wants the robot to do by directly looking at the object of int...
Robust Control of a Cable-Driven Soft Exoskeleton Joint for Intrinsic Human-Robot Interaction.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Mar 1, 2017
A novel, cable-driven soft joint is presented for use in robotic rehabilitation exoskeletons to provide intrinsic, comfortable human-robot interaction. The torque-displacement characteristics of the soft elastomeric core contained within the joint ar...
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