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Bowden-cable Angle Sensor (BoA Sensor) & BoA Sensor based Motion Tracking Smart Work Suit

This research proposes a new and low-cost bend sensor that can measure a wide range of accumulated bend angles with large curvatures. The proposed bend sensor utilizes a Bowden-cable, which consists of a coil sheath and an inner wire. Displacement changes of the Bowden-cable’s inner wire, when the shape of the sheath changes, have been considered to be a position error in previous studies. However, this study takes advantage of this position error to detect the bend angle of the sheath. The bend angle of the sensor can be calculated from the displacement measurement of the sensing wire using a Hall-effect sensor or a potentiometer. Simulations and experiments have shown that the accumulated bend angle of the sensor is linearly related to the sensor signal, with an R-square value up to 0.9969 and a root mean square error of 2% of the full sensing range. The bend sensor is not affected by a bend curvature of up to 80.0 m-1, unlike previous bend sensors.

 

In the next study, a motion-tracking smart work suit is presented to monitor the movements of workers using the BoA sensor mechanism. Activity data of workers can be used to manage their safety and working processes. To date, the adoption of motion measuring systems in industrial sites has been limited, due to cost and noisy environments. In this study, a motion-tracking smart work suit is presented to monitor the movements of workers. This system comprises modular joint-angle sensors that utilize a BoASensor mechanism, a conventional work suit with added sensor sleeves, and a monitoring device. The modularized joint-angle sensor can be easily attached or detached onto or from the normal work suit, improving its usability and washability. This suit could experience relative motion and deformation between the body, degrading sensor robustness, unlike conventional motion sensing suits. The screw sensor routing method is proposed to minimize the coordination effect between the sensor and skeletal system during body movements. Various postures recorded with the suit exhibited root mean square errors lower than 7.75% from the elbow range of motion (150°) compared with the inertial-measurement-unit- (IMU)-based motion tracker. It was determined that there exists statistical significance between the proposed screw-routing method and the IMU in precision, thereby demonstrating sensing robustness with various upper limb motions. Additionally, the linearity analysis revealed that screw-routing has the highest linear behavior. The proposed work suit is expected to be utilized in preventing industrial accidents at various sites, owing to its low production cost and high accessibility.

 

Keywords: #Low-cost, #Bend-sensor, #Motion Sensing, #Smart suit

boa sensor+motion tracking suit.png

Related papers and patents

  • Useok Jeong and Kyu-Jin Cho, "A Novel Low-Cost, Large Curvature Bend Sensor Based on a Bowden-Cable," Sensors, Vol.16, No.7: 961, Jun. 2016.

  • Jewoo Lee, Kyu-Jin Cho, and Useok Jeong, "Motion Tracking Smart Work Suit With a Modular Joint Angle Sensor Using Screw Routing," IEEE Robotics and Automation Letters, vol. 7, no. 4, 2022.

  • Patent: Bending Sensor, 10-1856310

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· E-mail : snopyy86@gmail.com 
· Affiliation : Hyundai Motor Company (현대자동차)

Ph.D / Alumni

Useok Jeong

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· E-mail : jwlee2218@snu.ac.kr
· Affiliation : WIRobotics 

M.s./ Alumni

Jewoo Lee

Reliability Analysis of a Tendon-driven Actuation for Soft Robots

The reliability of soft robotic devices will be the bottleneck that slows their commercialization. In particular, fatigue failure issues are a major concern. Thus, reliability should be taken into account from the earliest stages of development. However, to date, there have been no attempts to analyze the reliability of soft robotic devices in a systematic manner. When soft robots are employed to force transmission applications, reliability is typically a dominant issue, since soft robotic structures are constructed with soft material components; these materials have highly nonlinear properties that arise due to the large distribution in the material properties. Furthermore, reliability should be analyzed from the robot’s system down to the components using domain knowledge about the system; this requires a systematic approach. This study presents a framework for reliability analysis of soft robotic devices taking into account of a probability distribution that has not been considered before and examines a case study of a tendon-driven soft robot. This study focuses specifically on 1) concept design process, 2) lifetime analysis process, and 3) design and optimization process. A life model that considers distribution is proposed using accelerated life testing (ALT) based on analysis of the failure mechanism of the tendon-driven system. The tensile stress of the wire was varied during the experiment with different bend angles and output tension. The result was validated with different stress levels using a testbed to simulate an actual application. The proposed reliability analysis methodology could be applied to other soft robotic systems like pneumatic actuators to improve the reliability-related properties during the robot design stage, and the life model can be used to estimate the device lifetime under various stress conditions.

Related papers and patents

Useok Jeong*, Keunsu Kim*, Sang-Hun Kim*, Hyunhee Choi, Byeng Dong Youn#, Kyu-Jin Cho#, "Reliability Analysis of a Tendon-driven Actuation for Soft Robots," The International Journal of Robotics Research.

Sang-Hun Kim, Useok Jeong, Keunsu Kim, Hyunhee Choi, Byeng Dong Youn, Kyu Jin Cho, "Reliability and Degradation Analysis of Bowden-Cable Transmission for Soft Robotic Systems", 2019 2nd IEEE International Conference on Soft Robotics (RoboSoft).

Related papers and patents

정우석박사님.jpg

· E-mail : snopyy86@gmail.com 
· Affiliation : Hyundai Motor Company (현대자동차)

Ph.D / Alumni

Useok Jeong

Related papers and patents

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· E-mail : pine6710 at snu.ac.kr

· Research Topic : Bionic arm, Soft wearable robots

Ph.D / Alumni

Sang-Hun Kim

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