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Both are present in many diverse areas, including network discovery and verification, robot navigation, and chemistry.
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In the present paper a software environment for the study and verification of robot control solutions is described.
While that approach produced fast and accurate verification of single robot missions with robot motion uncertainty, it did not address multiple-robot missions or any form of uncertainty related to environment geometry.
In this paper, we will develop and apply the use of automated probabilistic formal verification techniques to robot swarms, involving an exhaustive mathematical analysis, in order to assess whether swarms will indeed behave as required.
This paper develops a procedure for the design of such a control law with supporting experimental verification on a gantry robot, including a comparative performance against a static law applied to the same robot.
The model has been validated through several experiments ranging from physical properties verification to testing on robot grasping applications.
Marker-based multi-camera optical tracking systems are being used in the robotics field to track robots for validation, verification, and calibration of their kinematic and dynamic models.
The end point of the dashed line indicates the verification module executed by the robot receiving the communication.
Speaker identification has potentially more applications such as access control, forensics, speech data management, personalization, and intelligent robot control than speaker verification [3].
The proposed RCP enables us to carry out the rapid design and the verification of controls for two-wheeled mobile robots (TWMRs), players in the robot soccer, without writing C codes directly and requiring a special H/W.
Prototypes of the ePaddle module and an ePaddle-based quadruped robot are fabricated for experimental verification.
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