2018
DOI: 10.14419/ijet.v7i4.27.22429
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Impedance Control Approach on Leg Motion Speed Variation on Soft Surface Interaction

Abstract: This article presents the leg speed variation control using impedance control approach on soft surface displacement motion. One of the challenging fields of designing a legged robot that can be equipped with adaptation ability is it dynamic control which majorly involved in interaction with the environment. Numerous researchers have been widely implemented impedance control as dynamic interaction but less emphasized in adapting soft terrain. Most of the impedance control implementation on the legged robot on r… Show more

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Cited by 3 publications
(3 citation statements)
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References 15 publications
(16 reference statements)
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“…𝜏 𝑐 = 𝐺 𝑇 𝐹 𝑃 (5) force within the pneumatic cylinder ( P F ) was determined from different pressures as outlined in Eq. (6).…”
Section: A Position-based Impedance Control Design With Pressurebased...mentioning
confidence: 99%
See 1 more Smart Citation
“…𝜏 𝑐 = 𝐺 𝑇 𝐹 𝑃 (5) force within the pneumatic cylinder ( P F ) was determined from different pressures as outlined in Eq. (6).…”
Section: A Position-based Impedance Control Design With Pressurebased...mentioning
confidence: 99%
“…Industrial robots for surgical, medical and rehabilitation applications further required immensely skillful mastery control design to guarantee a robust and safe operation between humans and robots. As such, various industrial and scholastic efforts on compliant control design of a robot system were undertaken through dissimilar strategic implementations against the system's dynamics [1][2][3][4][5][6]. Disclosed aspiration towards a safe and stable robotenvironment interaction further popularized the employment of impedance control by [7] in acquiring key components for the robot's control system.…”
Section: Introductionmentioning
confidence: 99%
“…Their distinct operational modes underscore the critical need for achieving a delicate balance [12]. Given the volatile nature of the terrains these robots navigate, which often include unexpected obstacles, there is a strong imperative to develop control algorithms that are both adaptive and predictive [14]- [16]. The intricacies involved in design, particularly when striving to replicate the subtleties of human movement, add further layers of complexity to robotic architecture.…”
Section: Introductionmentioning
confidence: 99%