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Compliant mechanisms are popular to the applications of micro/nanoscale manipulations. This paper proposes a novel triaxial parallel-kinematic compliant manipulator inspired by the Tripteron mechanism. Compared to most conventional triaxial compliant mechanisms, the proposed manipulator has the merits of structure compactness and being free of assembly error due to its unique configuration and the utilize of 3D printing technology. The compliance matrix modeling method is employed to determine the input stiffness of the compliant manipulator, and it is verified by finite-element analysis (FEA). Results show that the deviations between simulation works and the derived analytical models are in an acceptable range. The simulation results also reveal that the compliant manipulator can achieve a 16 μm × 16 μm × 16 μm cubic workspace. In this motion range, the observed maximum stress is much lower than the yield strength of the material. Moreover, the dynamic characteristics of the manipulator are investigated via the simulations as well.
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http://dx.doi.org/10.3390/mi13050678 | DOI Listing |
Cureus
August 2025
Orthopaedics/Orthopaedic Surgery, The Rothman Orthopaedic Institute at Thomas Jefferson University, Philadelphia, USA.
Introduction Patients have identified knee stiffness as a factor contributing to postoperative dissatisfaction after total knee arthroplasty (TKA). Losartan is an angiotensin receptor blocker (ARB) that has demonstrated antifibrotic effects; however, the impact of perioperative losartan on arthrofibrosis after TKA is not well understood. Therefore, the purpose of this study was to determine if losartan exhibits antifibrotic benefits in patients who undergo TKA by decreasing the rates of manipulation under anesthesia (MUA), when compared to patients who are not taking losartan.
View Article and Find Full Text PDFCureus
July 2025
Urology, Hospital Angeles Metropolitano, Mexico City, MEX.
Penile strangulation is a rare urological emergency that can lead to severe complications such as ischemia, necrosis, and urethral injury. We present a case of a 76-year-old man who presented to the emergency department with severe penile pain and swelling after applying five metallic rings to enhance erection during sexual intercourse. The patient had a history of erectile dysfunction and had been using phosphodiesterase inhibitors with a moderate response.
View Article and Find Full Text PDFCureus
July 2025
Physical Medicine and Rehabilitation, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Brain-computer interfaces (BCIs) represent an emerging advancement in rehabilitation, enabling direct communication between the brain and external devices to aid recovery in individuals with neurological impairments. BCIs can be classified into invasive, semi-invasive, non-invasive, or hybrid types. By interpreting neural signals and converting them into control commands, BCIs can bypass damaged pathways, offering therapeutic potential for conditions such as stroke, spinal cord injury, traumatic brain injury, and neurodegenerative diseases such as amyotrophic lateral sclerosis.
View Article and Find Full Text PDFBiomimetics (Basel)
August 2025
School of Mechanical Engineering, Southeast University, Nanjing 211189, China.
Robotic assembly of electrical connectors enables the automation of high-efficiency production of electronic products. A rigid gripper is adopted as the end-effector by the majority of existing works with a force-torque sensor installed at the wrist, which suffers from very limited perception capability of the manipulated objects. Moreover, the grasping and movement actions, as well as the inconsistency between the robot base and the end-effector frame, tend to result in angular misalignment, usually leading to assembly failure.
View Article and Find Full Text PDFInt J Med Robot
August 2025
College of Control Science and Engineering, Zhejiang University, Hangzhou, China.
Background: Robotic camera holders in laparoscopic surgery improve surgical efficiency and reduce the burden on medical specialists.
Methods: We propose a multi-task compliant control framework that integrates deep learning methods with robot kinematics. This framework addresses key challenges in surgical procedures, such as maintaining the remote center of motion (RCM) constraint and achieving autonomous field of view (FOV) adjustment.