2015 IEEE International Conference on Robotics and Automation (ICRA) 2015
DOI: 10.1109/icra.2015.7140073
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The Affordance Template ROS package for robot task programming

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Cited by 69 publications
(36 citation statements)
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“…Virtual objects, such as those described in [14] can be used to define a set of goal and/or path constraints as well as any allowable collisions (shown in Figure 4b, c). This virtual object has a series of goal constraints, i.e., waypoints, marked by floating end-effectors.…”
Section: Virtual Objectsmentioning
confidence: 99%
See 1 more Smart Citation
“…Virtual objects, such as those described in [14] can be used to define a set of goal and/or path constraints as well as any allowable collisions (shown in Figure 4b, c). This virtual object has a series of goal constraints, i.e., waypoints, marked by floating end-effectors.…”
Section: Virtual Objectsmentioning
confidence: 99%
“…After unclasping, R2 must plan to grab the forward facing strap on the CTB, shown in Figure 4(b1) and (b2). The plans are done by using an extension to [14], which defines goal poses relative to a frame in the world. In this case, the desired series of motions is specified in reference to the virtual CTB object shown in Figure 4(b2).…”
Section: A Cargo Transfer Bag (Ctb) Manipulationmentioning
confidence: 99%
“…The Affordance Template (AT) framework provides a remote robot operator with a user interface for shared control [9]. The framework consists of templates that describe affordances of objects to a robot and exists within a visual environment, RViz 2 , for operator interaction.…”
Section: A Affordance Templatesmentioning
confidence: 99%
“…Stephen Hart et al have described a ROS package for quickly programming, adjusting and executing robot applications in RViz environment. This developed package extends the capabilities of RViz interactive markers by allowing an operator to specify grasp poses in object-centric coordinate frames and multiple end-effector waypoint locations and to adjust these waypoints in order to meet the run-time demand of the task [10]. Mathew et al have explained their software architecture and hardware choices, which ensure human loop control of a 28 degree-of-freedom ATLAS humanoid robot over a limited bandwidth link [11].…”
Section: Introductionmentioning
confidence: 99%
“…Figure 2 represents the complete methodology for whole research work. Manual robots teaching using tech pendant is performance wise disadvantageous over automatic robot teaching [3], [10]. To overcome this issue visual feedback with programming autoa main controller [19] [25].…”
Section: Introductionmentioning
confidence: 99%