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Robotics & Control
Integrated SLAM-Based Navigation and Full-State Feedback Stabilization
Research on two-wheeled self-balancing robot navigation, combining full-state feedback LQR stabilization with autonomous navigation concepts in MATLAB/Simulink and ROS-Gazebo.
SLAMLQRROSGazeboMATLABSimulinkMobile Robots
- Status
- Research
- Timeline
- Ongoing Master's research
- Period
- Current research
Tools
MATLABSimulinkROSGazeboSLAMLQR
Related skills
SLAMLQR controlMobile robot navigationROS/Gazebo
Problem
Self-balancing mobile robots need simultaneous stabilization, localization, and navigation behavior to operate reliably in dynamic environments.
Approach
- Model the two-wheeled robot in state-space form for full-state feedback control.
- Study localization and autonomous navigation workflows using ROS, Gazebo, and SLAM concepts.
- Connect stabilization, path planning, and simulation validation into one research direction.
Outcomes
- Research direction combining control theory and autonomous navigation.
- Simulation-oriented workflow for precise localization, path planning, and robot stabilization.
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