2019 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2019
DOI: 10.1109/robio49542.2019.8961858
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Control of the Two-wheeled Inverted Pendulum (TWIP) Robot Moving on the Continuous Uneven Ground

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Cited by 4 publications
(2 citation statements)
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“…The fusion of these advanced robotic structures with sophisticated control techniques enhances their proficiency in responding to emergencies and exploring unfamiliar terrains [122], [192], [193], [198]. Additionally, the adoption of simplified control frameworks, kinematic control models, and transformation methods results in superior velocity tracking and efficient navigation on uneven terrains [73], [194], [196], [199]- [204].…”
Section: Future Directions Of Control S and Design In Bipedal Wheel-l...mentioning
confidence: 99%
“…The fusion of these advanced robotic structures with sophisticated control techniques enhances their proficiency in responding to emergencies and exploring unfamiliar terrains [122], [192], [193], [198]. Additionally, the adoption of simplified control frameworks, kinematic control models, and transformation methods results in superior velocity tracking and efficient navigation on uneven terrains [73], [194], [196], [199]- [204].…”
Section: Future Directions Of Control S and Design In Bipedal Wheel-l...mentioning
confidence: 99%
“…Herrera et al [29] designed an LQR controller and optimized the parameters by genetic algorithms to improve the reference tracking performance of a TWIP system. Zhou et al [30] applied sliding mode control and an extended Kalman filter to enable a TWIP robot to track a reference position or velocity trajectory on uneven ground. Jin and Ou [31] developed a learning method for a TWIP robot to guarantee path-following and balance.…”
Section: Introductionmentioning
confidence: 99%