Designing a Rapid Optical Response Trigger(RORT) for self-navigating and path explorer robot

Baibhab Debnath, Arunabha Ghosh, Suman Deb
2020 Procedia Computer Science  
Human beings are capable of making complex decisions with a limited number of sensors due to their rich logical reasoning capability. The decision-making process derives in combination with perceiving the environment and referring to previously known concepts. Similarly, machines can interact with the environment with large support of sensors in a number of ways and each of them has their advantage as well as limitations. In this work, systematic Optical Marker(OM) are used as control triggers
more » ... s an efficient alternative of sensing the physical environment and rapid movement-control of Remotely Operating Vehicle(ROV). The quick response of OM is much more efficient in different lighting condition, cost-effective and less resource hungry. Sequential placement of OM as control triggers contain information about the physical environment which in turn provides a guided path to ROV for a kind of supervised path exploration. The device scans the optical marker and perceives that information about its physical surroundings. For self-navigation, the robot uses a mobile device camera as an optical precept and parse the OM code to process state-space representation. The path of navigation is explored by applying graph theoretic algorithmic approach for finding an optimal path. The episodic interaction design is experimented under different device and lighting variation. The proposed RORT algorithm for path exploration and compensating missing information proved to be robust enough to hop forward or retract to the point of origin without any external support of complex computations. Abstract Human beings are capable of making complex decisions with a limited number of sensors due to their rich logical reasoning capability. The decision-making process derives in combination with perceiving the environment and referring to previously known concepts. Similarly, machines can interact with the environment with large support of sensors in a number of ways and each of them has their advantage as well as limitations. In this work, systematic Optical Marker(OM) are used as control triggers as an efficient alternative of sensing the physical environment and rapid movement-control of Remotely Operating Vehicle(ROV). The quick response of OM is much more efficient in different lighting condition, cost-effective and less resource hungry. Sequential placement of OM as control triggers contain information about the physical environment which in turn provides a guided path to ROV for a kind of supervised path exploration. The device scans the optical marker and perceives that information about its physical surroundings. For self-navigation, the robot uses a mobile device camera as an optical precept and parse the OM code to process state-space representation. The path of navigation is explored by applying graph theoretic algorithmic approach for finding an optimal path. The episodic interaction design is experimented under different device and lighting variation. The proposed RORT algorithm for path exploration and compensating missing information proved to be robust enough to hop forward or retract to the point of origin without any external support of complex computations.
doi:10.1016/j.procs.2020.03.365 fatcat:rdqifmsli5atza2fb73rkv2acy