2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2015
DOI: 10.1109/iros.2015.7353952
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On equitably approaching and joining a group of interacting humans

Abstract: In this work we introduce a low-level system that could be employed by a social robot like a robotic wheelchair or a humanoid, for approaching a group of interacting humans, in order to become a part of the interaction. Taking into account an interaction space that is created when at least two humans interact, a meeting point can be calculated where the robot should reach in order to equitably share space among the interacting group. We propose a sensor-based control task which uses the position and orientatio… Show more

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Cited by 10 publications
(7 citation statements)
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“…Therefore if J i J + i is positive definite, thenV < 0. This condition is true (since the product is Identity) as per the definition of the Jacobians J 1 and J 2 (see [8]) and as the interaction matrix L is well defined. The only singularity occurs when the robot starts at a position in the same hyperplane as, and directly facing, the interacting humans (i.e.…”
Section: A Stabilitymentioning
confidence: 93%
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“…Therefore if J i J + i is positive definite, thenV < 0. This condition is true (since the product is Identity) as per the definition of the Jacobians J 1 and J 2 (see [8]) and as the interaction matrix L is well defined. The only singularity occurs when the robot starts at a position in the same hyperplane as, and directly facing, the interacting humans (i.e.…”
Section: A Stabilitymentioning
confidence: 93%
“…minimize task 1 (e 1 ) and task 2 (e 2 ) to zero) while ensuring spatial social constraints. But we can see that each task (e 1 and e 2 ) constrains both the DOFs of the robot (as shown in [8]). Therefore realising an optimal switching from task e 1 to task e 2 at specific intervals can ensure their simultaneous convergence, as well as ensure a constrained socially complaint trajectory generation.…”
Section: B Velocity Control Lawmentioning
confidence: 99%
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“…(3)). Only a single goal pose (X 1 ) was pre-set for the simulation: the meeting point for the group where the robot should reach in order to equitably share space among the group [32]. The probability P (X 1 |X t ) was designed as max(0, 1 − d (Xt,X1) 3 ).…”
Section: A Simulationsmentioning
confidence: 99%