Self‐Sensing Artificial‐Muscle‐Empowered Humanlike Perception, Interaction, and Positioning
The proposed self‐sensorized artificial muscle (SSAM) can sense its length change as small as 0.01 mm via a seamlessly integrated multi‐segment induction coil. The SSAM provides accurate length information regardless of its loadings, driving pressure, or muscle design, adequate for robust data‐driven feedback control.
Houping Wu +6 more
wiley +1 more source
Initial Experience with the Saroa Surgical System in Robot-Assisted Hysterectomy: First Clinical Case Series and Haptic Feedback Assessment. [PDF]
Oshima N +4 more
europepmc +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Advancing medical training with augmented reality and haptic feedback simulator: outcomes of a randomized controlled trial on lumbar puncture. [PDF]
Felten R +12 more
europepmc +1 more source
Editorial: Advances in haptic feedback for neurorobotics applications. [PDF]
Li M +5 more
europepmc +1 more source
In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang +4 more
wiley +1 more source
Simulators with Haptic Feedback in Neurosurgery: Are We Reaching the "Aviator" Type of Training? Narrative Review and Future Perspectives. [PDF]
Luglietto D +8 more
europepmc +1 more source
HaptGlove-Untethered Pneumatic Glove for Multimode Haptic Feedback in Reality-Virtuality Continuum. [PDF]
Qi J, Gao F, Sun G, Yeo JC, Lim CT.
europepmc +1 more source
Haptic In‐Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir
Using a porous carbon nanotube‐polydimethylsiloxane nanocomposite, a sensor array integrated with a physical reservoir computing paradigm capable of in‐sensor computing is demonstrated. The device is able to classify between nine objects with an accuracy above 80%, opening the possibility for low‐power sensing/computing for future robotics.
Kouki Kimizuka +7 more
wiley +1 more source
Role of haptic feedback technologies and novel engineering developments for surgical training and robot-assisted surgery. [PDF]
Laga Boul-Atarass I +7 more
europepmc +1 more source

