Telepresence Robot Localization Using Live Markers for Dynamic Navigation
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Solution Overview
Problem
Current telepresence robotic systems are not intelligent enough to navigate dynamically based on location and environment, failing to follow specific paths and focus on presenters effectively, limiting their flexibility and interaction in video conferencing scenarios.
Innovation Solution
A processor-implemented method and system for dynamic localization of telepresence robots using live markers, which involves recognizing fiducial markers to generate a map and navigate autonomously, allowing the robot to adapt its path and focus on presenters within the environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If telepresence robots use fixed video conference facilities, then system stability is maintained, but adaptability to different locations and environments deteriorates
Solution Approach 1:
The system performs preliminary mapping of the environment by detecting fiducial markers and building a map before the robot needs to navigate. This pre-established map allows the robot to later determine its location and plan paths without real-time complexity, resolving the contradiction between adaptability and system complexity.
Solution Approach 2:
Fiducial markers serve as intermediaries between the robot and the environment. These markers provide reference points that simplify the robot's localization and navigation tasks, enabling adaptability to different locations without requiring complex autonomous navigation systems.
2Ease of operation
If telepresence robots navigate autonomously using live markers, then flexibility and interaction improve, but system complexity increases
Solution Approach 1:
The robot autonomously detects fiducial markers, determines its own location, and plans its own path without requiring external control systems. This self-service capability improves operational flexibility while the marker-based approach keeps the underlying system complexity manageable through standardized detection algorithms.
3Loss of information
If telepresence robots use traditional fixed setups, then reliability is maintained, but location-based intelligence deteriorates
Solution Approach 1:
The robot continuously detects fiducial markers in its environment and uses this feedback to update its location estimate and adjust its navigation path. This feedback loop provides location-based intelligence while maintaining reliability through verified marker detection and established mapping algorithms.
Data Source
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AI summary
Currently teleconferencing robotic systems available are not smart and unable to navigate based on specific path and fail to focus on presenter based on overall environment. This disclosure relates to method of dynamic localization of a telepresence robot based on plurality of live markers. A plurality of images is received from an image capturing device connected to the telepresence robot. The plurality of images is processed to identify the plurality of live markers in a path of the telepresence robot. A binary matrix is decoded to identify at least one identifier (ID) associated with the at least one live marker from the plurality of live markers. A plurality of parameters is identified based on the at least one ID associated with the at least one live marker. A further path is dynamically localized to navigate the telepresence robot based on the plurality of parameters and the plurality of live markers.