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Is your feature request related to a problem? Please describe.
Simultaneous Localization and Mapping (SLAM) is a crucial technology in robotics and autonomous systems.
Ex - Autonomous Driving , Autonomous Delivery Robots.
Describe the solution you'd like
The goal is to integrate SLAM into the robotics system to enable real-time mapping and localization. This integration should be straightforward, requiring only simple modifications to adapt it to different projects or robots.
Features :
SLAM implementation with robot movement and landmark detection
Extended Kalman Filter (EKF) for state estimation
Neural network-based landmark classification
Particle filter for robust pose estimation
Probabilistic sensor modeling
Advanced visualization of robot path and landmarks
Multi-sensor fusion
Dynamic landmark tracking
Approach to be followed (optional)
A clear and concise description of the approach to be followed.
Additional context
Add any other context or screenshots about the feature request here.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
Simultaneous Localization and Mapping (SLAM) is a crucial technology in robotics and autonomous systems.
Ex - Autonomous Driving , Autonomous Delivery Robots.
Describe the solution you'd like
The goal is to integrate SLAM into the robotics system to enable real-time mapping and localization. This integration should be straightforward, requiring only simple modifications to adapt it to different projects or robots.
Features :
Approach to be followed (optional)
A clear and concise description of the approach to be followed.
Additional context
Add any other context or screenshots about the feature request here.
The text was updated successfully, but these errors were encountered: