Recent Progress on Three-dimensional Printing Processes to Fabricate Flexible Tactile Sensors [PDF]
Wang Yancheng +3 more
openalex +1 more source
A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett +5 more
wiley +1 more source
PVDF-based flexible piezoelectric tactile sensor for slip estimation using robotic gripper. [PDF]
Rosle MH +3 more
europepmc +1 more source
Machine Learning-Enabled Tactile Sensor Design for Dynamic Touch Decoding. [PDF]
Lu Y +8 more
europepmc +1 more source
Self‐Healable and Recyclable Tactile Force Sensors with Post‐Tunable Sensitivity
Xiaozhuang Zhou +4 more
openalex +1 more source
Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang +5 more
wiley +1 more source
A Study on Rejecting Non-Target and Misclassified Motions for Robust Tactile-Sensor-Based Prosthetic Hand Control. [PDF]
Iwai H, Wang F.
europepmc +1 more source
Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley +1 more source
Tactile Sensor-Based Body Center of Pressure Estimation System Using Supervised Deep Learning Models. [PDF]
Baik J, Choi Y, Kim KJ, Park YJ, Lee H.
europepmc +1 more source

