2011
DOI: 10.1109/tro.2011.2160668
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Task-Oriented Kinematic Design of a Symmetric Assistive Climbing Robot

Abstract: Abstract-ASIBOT is an assistive climbing robot, capable of aiding in daily tasks from fixed docking stations in the environment. A taskoriented design process was applied to improve the robot kinematic structure, based on the Grid Method. Twelve different robot designs were optimized for typical kitchen scenarios, followed by a quantitative comparison.

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Cited by 9 publications
(7 citation statements)
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“…Given the small size of each weight matrix, a large number of such sets can easily be stored. Task-oriented approaches have also been used for adapting the physical structure of assistive robot manipulators to the user's needs [31,32]. One of the advantages of the system proposed here is that it should scale well also to much higher density proximity sampling, for example in approaches based on electric fields [33,34].…”
Section: Discussionmentioning
confidence: 99%
“…Given the small size of each weight matrix, a large number of such sets can easily be stored. Task-oriented approaches have also been used for adapting the physical structure of assistive robot manipulators to the user's needs [31,32]. One of the advantages of the system proposed here is that it should scale well also to much higher density proximity sampling, for example in approaches based on electric fields [33,34].…”
Section: Discussionmentioning
confidence: 99%
“…The ASIBOT robot [10], developed by the Universidad Carlos III de Madrid (UC3M), is a 5-DOF (degrees of freedom) symmetric robotic arm, which can be attached to a wheelchair through a low-cost docking station, so as to serve in a kitchen test bed at UC3M (Figure 1). …”
Section: Attached Mobile Service Robotic Systemsmentioning
confidence: 99%
“…5,6 The manipulator kinematics includes forward kinematics 7 and inverse kinematics. 8 The former is to solve the position and orientation of the end of the manipulator actuator with joint variables, while the latter is to solve manipulator joint angles with the position and orientation of the end of the manipulator actuator to the trajectory planning and motion control.…”
Section: Introductionmentioning
confidence: 99%
“…8 The former is to solve the position and orientation of the end of the manipulator actuator with joint variables, while the latter is to solve manipulator joint angles with the position and orientation of the end of the manipulator actuator to the trajectory planning and motion control. 6,9 According to the relationship between the degrees of freedom (DOFs) and the number of actuators, the mechanism can be divided into full-actuated mechanism, redundant-actuated mechanism, and underactuated mechanism. 10,11 In a traditional full-actuated robot, motors are always fixed in the joints with the most weight of the whole robot.…”
Section: Introductionmentioning
confidence: 99%
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