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- Keyword
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- Robotics (3)
- Compliant (2)
- Intent recognition (2)
- Additive Manufacturing (1)
- Backbone exoskeleton (1)
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- Belief-Space Planning (1)
- Control (1)
- Decision tree (1)
- Dexterity (1)
- Exoskeleton (1)
- Haptics (1)
- Hip (1)
- IMU (1)
- Kinesthetic (1)
- Linear classification (1)
- Mobile Manipulation (1)
- Multi-classifier fusion (1)
- Nonlinear feature exrtaction (1)
- Real-time (1)
- Rehabilitation (1)
- SEA (1)
- SEMG (1)
- Scotch yoke (1)
- Sensor (1)
- Series elastic (1)
- Series elastic actuators (1)
- Stroke rehabilitation (1)
- Surface electromyography (1)
- Touchscreen (1)
- Wavelet transform (1)
- Publication Type
Articles 1 - 6 of 6
Full-Text Articles in Computer Engineering
Belief-Space Planning For Resourceful Manipulation And Mobility, Dirk Ruiken
Belief-Space Planning For Resourceful Manipulation And Mobility, Dirk Ruiken
Doctoral Dissertations
Robots are increasingly expected to work in partially observable and unstructured environments. They need to select actions that exploit perceptual and motor resourcefulness to manage uncertainty based on the demands of the task and environment. The research in this dissertation makes two primary contributions. First, it develops a new concept in resourceful robot platforms called the UMass uBot and introduces the sixth and seventh in the uBot series. uBot-6 introduces multiple postural configurations that enable different modes of mobility and manipulation to meet the needs of a wide variety of tasks and environmental constraints. uBot-7 extends this with the use …
Multi-Classifier Fusion Strategy For Activity And Intent Recognition Of Torso Movements, Abhijit Kadrolkar
Multi-Classifier Fusion Strategy For Activity And Intent Recognition Of Torso Movements, Abhijit Kadrolkar
Doctoral Dissertations
As assistive, wearable robotic devices are being developed to physically assist their users, it has become crucial to develop safe, reliable methods to coordinate the device with the intentions and motions of the wearer. This dissertation investigates the recognition of user intent during flexion and extension of the human torso in the sagittal plane to be used for control of an assistive exoskeleton for the human torso. A multi-sensor intent recognition approach is developed that combines information from surface electromyogram (sEMG) signals from the user’s muscles and inertial sensors mounted on the user’s body. Intent recognition is implemented by following …
A Haptic Surface Robot Interface For Large-Format Touchscreen Displays, Mark Price
A Haptic Surface Robot Interface For Large-Format Touchscreen Displays, Mark Price
Masters Theses
This thesis presents the design for a novel haptic interface for large-format touchscreens. Techniques such as electrovibration, ultrasonic vibration, and external braked devices have been developed by other researchers to deliver haptic feedback to touchscreen users. However, these methods do not address the need for spatial constraints that only restrict user motion in the direction of the constraint. This technology gap contributes to the lack of haptic technology available for touchscreen-based upper-limb rehabilitation, despite the prevalent use of haptics in other forms of robotic rehabilitation. The goal of this thesis is to display kinesthetic haptic constraints to the touchscreen user …
A Continous Rotary Actuation Mechanism For A Powered Hip Exoskeleton, Matthew C. Ryder
A Continous Rotary Actuation Mechanism For A Powered Hip Exoskeleton, Matthew C. Ryder
Masters Theses
This thesis presents a new mechanical design for an exoskeleton actuator to power the sagittal plane motion in the human hip. The device uses a DC motor to drive a Scotch yoke mechanism and series elasticity to take advantage of the cyclic nature of human gait and to reduce the maximum power and control requirements of the exoskeleton. The Scotch yoke actuator creates a position-dependent transmission that varies between 4:1 and infinity, with the peak transmission ratio aligned to the peak torque periods of the human gait cycle. Simulation results show that both the peak and average motor torque can …
Ubot-7: The Design Of A Compliant Dexterous Mobile Manipulator, Jonathan Cummings
Ubot-7: The Design Of A Compliant Dexterous Mobile Manipulator, Jonathan Cummings
Masters Theses
This thesis presents the design of uBot-7, the latest version of a dexterous mobile manipulator. This platform has been iteratively developed to realize a high performance-to-cost dexterous whole body manipulator with respect to mobile manipulation. The semi-anthropomorphic design of the uBot is a demonstrated and functional research platform for developing advanced autonomous perception, manipulation, and mobility tasks. The goal of this work is to improve the uBot’s ability to sense and interact with its environment in order to increase the platforms capability to operate dexterously, through the incorporation of joint torque feedback, and safely, through the implementation of passive and …
Activity Intent Recognition Of The Torso Based On Surface Electromyography And Inertial Measurement Units, Zhe Zhang
Masters Theses 1911 - February 2014
This thesis presents an activity mode intent recognition approach for safe, robust and reliable control of powered backbone exoskeleton. The thesis presents the background and a concept for a powered backbone exoskeleton that would work in parallel with a user. The necessary prerequisites for the thesis are presented, including the collection and processing of surface electromyography signals and inertial sensor data to recognize the user’s activity. The development of activity mode intent recognizer was described based on decision tree classification in order to leverage its computational efficiency. The intent recognizer is a high-level supervisory controller that belongs to a three-level …