Landmark Selection for Vision-Based Navigation
IEEE Transactions on Robotics
Exactly Sparse Delayed-State Filters for View-Based SLAM
IEEE Transactions on Robotics
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The paper proposes an obstacle-avoidance control algorithm based on the fuzzy matching of obstacle environment. The algorithm is mainly used in the obstacleavoidance control of omnidirectional Lower Limbs Rehabilitation Robot. The method generates the eigenvalue of obstacle environment using detected angle information of obstacle boundary, and fuzzy matches with the known environment information to realize the obstacle-avoidance control of robot. The design of obstacle-avoidance control enhances the patient safety and decreases the environment using demand. This paper proves the feasibility and effectiveness of the obstacle-avoidance algorithm through theoretical derivation and simulation results.