Model Predictive Obstacle Avoidance Control for an Electric Wheelchair in Indoor Environments Using Artificial Potential Field Method
Author:
Affiliation:
1. Tokyo City University,Department of Mechanical Systems Engineering,Tokyo
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9708598/9708599/09708755.pdf?arnumber=9708755
Reference8 articles.
1. A New Localization System for Indoor Service Robots in Low Luminance and Slippery Indoor Environment Using Afocal Optical Flow Sensor Based Sensor Fusion
2. LiDAR-Based GNSS Denied Localization for Autonomous Racing Cars;massa;SENSORS,2020
3. MPC-based control architecture of an autonomous wheelchair for indoor environments
4. Nonlinear Model Predictive Control for Self-Driving cars Trajectory Tracking in GNSS-denied environments
5. Model predictive parking control for nonholonomic vehicles using time-state control form
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1. Design of an Assisted Driving System for Obstacle Avoidance Based on Reinforcement Learning Applied to Electrified Wheelchairs;Electronics;2024-04-16
2. ENHANCED HYBRID PATH PLANNING ALGORITHM BASED ON APF AND A-STAR;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2023-12-13
3. Self-driving Electric Wheelchair in Crowded Environments Using a Fuzzy Potential Model Predictive Control;IFAC-PapersOnLine;2023
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