Robotic Manipulator
Robotic Manipulator - Related Videos
07:49
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Cited by 10 •
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This protocol describes a rod-based approach, combining 3D-printing and soft lithography techniques for fabricating the soft gripper devices. This approach eliminates the need for an external air source by incorporating a chamber component and reduces the chance of occlusion during the sealing process, particularly for miniaturized pneumatic channels.
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Osteopathic Manipulative Treatment as a Useful Adjunctive Tool for Pneumonia
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Cited by 50 •
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Pneumonia is one of the top ten leading causes of death in the U.S. Osteopathic manipulative techniques (OMT) may be utilized as an adjunctive therapy in the treatment of pneumonia to enhance biomechanical and immune function; and ultimately, to reduce hospital stay, duration of antibiotics, incidence of respiratory failure, and mortality. In this video-article, we will review randomized controlled studies on the use of OMT in pneumonia patients, as well as demonstrate specific hands-on...
09:00
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Cited by 18 •
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07:41
Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound
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Cited by 14 •
2019
This paper introduces the design and implementation of a bespoke robotic manipulator for extra-corporeal ultrasound examination. The system has five degrees of freedom with lightweight joints made by 3D printing and a mechanical clutch for safety management.
08:16
Adaptation of a Haptic Robot in a 3T fMRI
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The adaptation and use of a haptic robot in a 3T fMRI is described.
FAQs
Kinematic models connect joint positions with the end effector’s location and orientation in the workspace. This relationship lets engineers determine how coordinated changes at the joints affect the tool or object being moved. By using these calculations during motion planning, the system can follow intended paths more consistently and position tools for tasks such as assembly, inspection, or laboratory experimentation.
Each component contributes a different function to controlled motion. Joints provide the connected movement structure, actuators generate motion, sensors supply information for control, and the end effector interacts with an object or tool. Their integration allows the manipulator to move beyond simple positioning by supporting planned trajectories and, where required, controlled force application.
Controllers coordinate the manipulator’s actuators and sensor information so the system can follow a planned trajectory. They also support precise force application when the task requires interaction with an object or surface. This coordination improves repeatability and helps the manipulator perform engineering operations in a controlled manner rather than relying on uncoordinated joint movement.
A robotic manipulator combines programmable control with kinematic calculation, sensing, actuation, and an end effector. These elements allow motion to be planned in relation to the tool’s position, orientation, and applied forces. An uncoordinated mechanical system would not provide the same integrated basis for repeatable trajectories, controlled interaction, and adaptable engineering automation.
A typical workflow identifies the required tool or end effector, relates joint positions to the desired tool location and orientation through a kinematic model, and plans a trajectory. Controllers then coordinate the joints, actuators, and sensors as the manipulator moves. For interaction tasks, force application is also controlled to support the intended operation.
Engineering applications include assembly, welding, material handling, inspection, and laboratory experimentation. The appropriate end effector and motion plan depend on the task, while the control system coordinates movement through the workspace. These applications use the same underlying platform for different purposes, from positioning components and tools to supporting repeatable experimental operations.
Robotic manipulators can improve repeatability, safety, and productivity by carrying out controlled movements and planned trajectories. In manufacturing, these benefits support operations such as welding, assembly, handling, and inspection. In research settings, programmable motion and force control support laboratory experimentation, while ongoing engineering work extends their role in collaborative robotics and autonomous systems.