A Distributed Embedded Control Architecture for Humanoid Soccer Robots

Calderón, Carlos; Zhou, Changjiu; Yue, Pik Kong; Wong, Mike; Elara, Mohan Rajesh

doi:10.1142/9789812770189_0056

Cited by 8 publications

(3 citation statements)

References 5 publications

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“…The robotic platform used for the experiments was the humanoid robot Robo-Erectus Junior-AX (REJr-AX), which is one of the pioneering soccer-playing humanoid robots in the RoboCup Humanoid League [34]. RoboErectus has collected several awards since its first participation in the Humanoid League of RoboCup in 2002.…”

Section: Resultsmentioning

confidence: 99%

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Generating human-like soccer primitives from human data

Calderón¹,

Elara²,

Hu³

et al. 2009

Robotics and Autonomous Systems

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Section: Resultsmentioning

confidence: 99%

“…Robo-Erectus is equipped with sensors and actuators that allow it to navigate autonomously and display an intelligent behaviour [34]. The robot uses as main sensor a camera, and it is able to perceive different colours and to track them.…”

Section: Resultsmentioning

confidence: 99%

Generating human-like soccer primitives from human data

Calderón¹,

Elara²,

Hu³

et al. 2009

Robotics and Autonomous Systems

Self Cite

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“…the robot is to perform. Finally, the control processor handles the low level control of motor based on the soccer skill selected by the artificial intelligence processor [26,27]. Experiments with virtual Robo-Erectus Junior humanoid robots were performed in this paper using our Virtual-RE simulator providing several possibilities of visualization and interaction with the simulated world [28].…”

Section: Robo-erectus Junior-a Soccer Playing Humanoid Robotmentioning

confidence: 99%

Experimenting False Alarm Demand for Human Robot Interactions in Humanoid Soccer Robots

Elara

Wijesoma

Calderón

et al. 2009

Int J of Soc Robotics

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Performance of robots in human robot teams has always been a topic of interest for many researchers in human robot interaction community. Traditionally adopted neglect tolerance model for performance measurements assume ideal conditions in which the operator switches control between robots sequentially based on acceptable performance level for each robot ignoring any false alarms due to erroneous interactions. In this paper, we present the false alarm demand, a new metric for measuring effects of false alarms on human robot team performance and extend the neglect tolerance model to situations in which false positives and false negatives are prevalent. Experiments were performed with real and virtual humanoid soccer robots across tele-operated, and point to point modes of autonomy. Measured false alarm demand and robot performances were largely consistent with the proposed extended neglect tolerance model predictions for real and virtual experiments for both autonomy modes. Experiments also showed that extended neglect tolerance model offered better estimation of robot performances as compared to the traditionally adopted neglect tolerance model for situations wherein false alarms are prevalent.

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