A Teleoperated Shared Control Approach with Haptic Feedback for Mobile Assistive Robot

Author(s):  
Zhidong Lin ◽  
Jing Luo ◽  
Chenguang Yang
2012 ◽  
Vol 26 (1) ◽  
pp. 043-055 ◽  
Author(s):  
Wolfgang Schoppek

Abstract.The effects of locus of instructional control in computer-assisted practice of arithmetic skills and word problem solving were investigated in a field experiment with 13 third grade classes. In a program-controlled condition (n = 95), the selection of practice problems was based on a hypothetical hierarchy of skills. This was expected to regulate cognitive load to a moderate level. In a condition with shared control (n = 89), subjects could select problems from a subset provided by the program. Results show that program-controlled selection of problems based on the hierarchy of skills was more successful in supporting skill development than the students’ selection. In the shared control condition, students tended to select too easy problems, regardless of their level of expertise. Both conditions with computer assisted instruction caused more progress than traditional instruction (n = 94). Ways of improving the regulation of cognitive load within a shared control approach are discussed.


2014 ◽  
Vol 19 (6) ◽  
pp. 1725-1736 ◽  
Author(s):  
Huanran Wang ◽  
Xiaoping P. Liu

2016 ◽  
Vol 13 (6) ◽  
pp. 172988141668270 ◽  
Author(s):  
Marco Ramacciotti ◽  
Mario Milazzo ◽  
Fabio Leoni ◽  
Stefano Roccella ◽  
Cesare Stefanini

Human management of robots in many specific industrial activities has long been imperative, due to the elevated levels of complexity involved, which can only be overcome through long and wasteful preprogrammed activities. The shared control approach is one of the most emergent procedures that can compensate and optimally couple human smartness with the high precision and productivity characteristic to mechatronic systems. To explore and to exploit this approach in the industrial field, an innovative shared control algorithm was elaborated, designed and validated in a specific case study.


Author(s):  
Marcia K. O’Malley

Interest in the rehabilitation applications for robots has been increasing. For example, various devices have been developed to aid in reaching movements of stroke, traumatic brain injury (TBI), and spinal cord injury (SCI) patients. Typically these devices provided guided reaching movements for elbow and shoulder. The robotic aspect allows for repeatability, along with additional data for post-session analysis. To date, robotic rehabilitation systems with haptic feedback have not fully exploited the capabilities of a haptic display device. The simulators primarily focus on obeying the physical laws that govern such systems in order to re-create realistic environments for rehabilitative tasks, or the robotic devices are employed only for their ability to carry the impaired limb through various trajectories. This paper will present a novel active assistance paradigm for interactions in virtual environments displayed via haptic interfaces. The author’s recent research efforts have focused on the design of perceptual overlays in virtual environments that are active rather than passive. Passive virtual fixtures have been the primary perceptual overlay in haptics, and have been used extensively as “virtual rulers” in teleoperation environments to improve operator performance of pick-and-place tasks. Active assistance in the form of shared control between the haptic device and the human operator has the potential to elicit even better performance in virtual and remote environment interactions, and also has implications for improving training effectiveness. The intended applications include stroke rehabilitation and training for pilots, manufacturing, and surgery. A description of perceptual overlays and details of the shared control paradigm are presented, along with results from some preliminary experiments on shared control haptic assistance for training in virtual environments.


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