Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Analytical, Diagnostic and Therapeutic Techniques and Equipment (1)
- Anesthesia and Analgesia (1)
- Critical Care (1)
- Critical Care Nursing (1)
- Diagnosis (1)
-
- Electrical and Computer Engineering (1)
- Electrical and Electronics (1)
- Family Practice Nursing (1)
- Geriatric Nursing (1)
- Maternal, Child Health and Neonatal Nursing (1)
- Medical Specialties (1)
- Medicine and Health Sciences (1)
- Nursing (1)
- Other Analytical, Diagnostic and Therapeutic Techniques and Equipment (1)
- Other Nursing (1)
- Palliative Care (1)
- Pediatric Nursing (1)
- Perioperative, Operating Room and Surgical Nursing (1)
- Preventive Medicine (1)
- Trauma (1)
Articles 1 - 5 of 5
Full-Text Articles in Robotics
Biomimetic Design, Modeling, And Adaptive Control Of Robotic Gripper For Optimal Grasping, Mushtaq Al-Mohammed
Biomimetic Design, Modeling, And Adaptive Control Of Robotic Gripper For Optimal Grasping, Mushtaq Al-Mohammed
Electronic Theses and Dissertations, 2020-
Grasping is an essential skill for almost every assistive robot. Variations in shape and/or weight of different objects involved in Activities of Daily Living (ADL) lead to complications, especially, when the robot is trying to grip novel objects for which it has no prior information –too much force will deform or crush the object while too little force will lead to slipping and possibly dropped objects. Thus, successful grasping requires the gripper to immobilize an object with the minimal force. In Chapter 2, we present the design, analysis, and experimental implementation of an adaptive control to facilitate 1-click grasping of …
Self Adaptive Reinforcement Learning For High-Dimensional Stochastic Systems With Application To Robotic Control, Sayyed Jaffar Ali Raza
Self Adaptive Reinforcement Learning For High-Dimensional Stochastic Systems With Application To Robotic Control, Sayyed Jaffar Ali Raza
Electronic Theses and Dissertations, 2020-
A long standing goal in the field of artificial intelligence (AI) is to develop agents that can perceive richer problem space and effortlessly plan their activity in minimal duration. Several strides have been made towards this goal over the last few years due to simultaneous advances in compute power, optimized algorithms, and most importantly evident success of AI based machines in nearly every discipline. The progress has been especially rapid in area of reinforcement learning (RL) where computers can now plan-ahead their activities and outperform their human rivals in complex problem domains like chess or Go game. However, despite encouraging …
Robotic Automation Of A Cnc Machine, Jace Hovey
Robotic Automation Of A Cnc Machine, Jace Hovey
Honors Undergraduate Theses
Robotic automation of CNC machines is becoming more popular as robot technology advances and becomes more readily available. While some CNC machines can run autonomously with part catchers, vertical milling centers require an external entity to keep the machine running. Collaborative and Industrial robots are the two main selections for automating a vertical CNC milling machine. We investigate specifically which robot type is most effective for machine tending a Haas VF2 vertical milling center. To do this a cell floor plan, risk assessment, overall equipment effectiveness evaluation, and a total cost analysis are performed to compare robots. With this results …
Recognizing Pain Using Novel Simulation Technology, Justin C. Grace
Recognizing Pain Using Novel Simulation Technology, Justin C. Grace
Honors Undergraduate Theses
Effective pain management and time to treatment is essential in patient care. Despite scientific evidence supporting the need to treat pain and an emphasis on addressing pain as a priority, pain management continues to be an unresolved issue. As a member of the health care team, nurses are integral to optimal pain management. Currently, nursing schools have limited innovative or alternative methods for teaching pain assessment and management. Simulation in nursing education provides a unique opportunity to expose students to realistic patient situations and allow them to learn and make mistakes without causing harm. However, modern low- and high-fidelity simulation …
Influence Of Task-Role Mental Models On Human Interpretation Of Robot Motion Behavior, Scott Ososky
Influence Of Task-Role Mental Models On Human Interpretation Of Robot Motion Behavior, Scott Ososky
Electronic Theses and Dissertations
The transition in robotics from tools to teammates has begun. However, the benefit autonomous robots provide will be diminished if human teammates misinterpret robot behaviors. Applying mental model theory as the organizing framework for human understanding of robots, the current empirical study examined the influence of task-role mental models of robots on the interpretation of robot motion behaviors, and the resulting impact on subjective ratings of robots. Observers (N = 120) were exposed to robot behaviors that were either congruent or incongruent with their task-role mental model, by experimental manipulation of preparatory robot task-role information to influence mental models (i.e., …