Sensorless Admittance Control for Cable-Driven Synchronous Continuum Robotopen access
- Authors
- Kim, Myung-Oh; Cho, Jaeuk; Choi, Dongwoon; Seo, TaeWon; Lee, Dong-Wook
- Issue Date
- Apr-2026
- Publisher
- MDPI
- Keywords
- synchronous continuum robot (SCR); cable-driven robot; sensorless admittance control
- Citation
- APPLIED SCIENCES-BASEL, v.16, no.8, pp 1 - 26
- Pages
- 26
- Indexed
- SCIE
SCOPUS
- Journal Title
- APPLIED SCIENCES-BASEL
- Volume
- 16
- Number
- 8
- Start Page
- 1
- End Page
- 26
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/218169
- DOI
- 10.3390/app16083637
- ISSN
- 2076-3417
2076-3417
- Abstract
- The synchronous continuum robot (SCR) was developed to emulate biological structures, such as animal tails and elephant trunks, based on continuum robot principles. By synchronizing disk motions, the SCR generates biologically inspired continuous movements while maintaining precise trajectory control. However, its synchronization-based architecture limits adaptability during physical interaction due to rigid trajectory-following characteristics. To address this limitation, this paper proposes a sensorless variable admittance control (VAC)-based compliant motion generation framework for the SCR. A dynamic model-based sensorless disturbance observer is designed to estimate external torques without additional force sensors. To compensate for uncertainties inherent in the cable-driven transmission mechanism, an adaptive term is incorporated into the parameter identification process, improving disturbance estimation accuracy. Based on the estimated external torques, admittance parameters are adaptively modulated according to joint angles, angular velocities, and robot posture, enabling interaction-aware motion speed regulation. Furthermore, the proposed method simultaneously enforces constraints on both joint angles and angular velocities through the adaptive regulation of target positions and velocities, ensuring safe and physically feasible motion. Experimental results under various interaction scenarios demonstrate reliable contact-independent force estimation and effective compliant motion generation. The proposed framework provides an integrated solution for robust force estimation, adaptive compliance control, and simultaneous constraint enforcement in mechanically synchronized continuum robots.
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