Behavior learning using physical robot is conducted to demonstrate the effectiveness of the proposed adaptive categorization mechanism in ART networks.
In past studies using physical robots without the additional structures provided by the Expedition Atlantis game, limited mathematics gain was generally found.
As an alternative solution the idea of using positive velocity feedback, dating back to the seminal studies of Bässler (1976, 1983), has been applied to Walknet by Cruse et al. (1996), Kindermann (2002) using kinematic and dynamic simulation and by Schmitz et al. (2008) using a physical robot.
Lastly, the transition using a physical robot will be investigated in a future study.
From the experimental validation of the properties proposed in Propositions (1, 4) by using the physical robot Mamba, we can conclude that the control-oriented model presented in "Control-oriented model of underwater snake robots" captures the essential properties of the underwater snake robot locomotion.
The use of a physical robot can make programming more accessible for students with disabilities.
In the one prior case in which significant gains were found using the physical robots, the students were from an advanced private school and the instructor was from the research team, and therefore able to provide many complex supports for the students that would be difficult for traditional technology educators to provide effectively.
Human motion intent (HMI) acquiring by using physical human robot interaction (pHRI) information is one of the most crucial issues for lower extremity exoskeleton control.
For motion sensing operation, this control interface talks with physical robot controller using the FollowJointTrajectoryAction interface.
Selected PdA-related concepts were tested using a simulated mobile robot and a one-eyed, one-armed physical robot that generated some life-like activities such as hesitation and distractible pursuing behavior from primitive behavior blocks mediated by Memestorms.
