Artificial Intelligence and Privacy Concerns: New Scale Validation and Implications
AI in business merges diverse data into unified consumer profiles. Privacy concerns about AI misuse include biases and data removal…
Soft Crawling Caterpillar Driven by Electrohydrodynamic Pumps
New soft caterpillar robot uses advanced EHD pump technology. Optimized design improves flow rate and driving pressure significantly. Efficient, low-cost,…
New Neural Network Model Enhances Human Safety in Human-Robot Interaction
The simulation-assisted neural network improves human safety in HRI. Combining simulated and actual point clouds enhances segmentation accuracy. Experimental validation…
Analysis of Mutual Inductance in Inductive Power Transfer Systems for EV Charging
Examines mutual inductance in IPT systems for EV charging. Focuses on square-shaped transmitter and circular-shaped receiver coils. Highlights efficiency improvements…
Three-dimensional Kinematics-based Real-time Localization Method Using Two Robots
This method uses two robots for real-time 3D self-localization. It works effectively in GPS-denied and magnetically disturbed environments. Experimental results…
A Convoy of Magnetic Millirobots Transports Endoscopic Instruments for Minimally‐Invasive Surgery
The first electrocautery procedure using a team of millirobots is demonstrated. TrainBots convoy can generate nearly double the actuating force…
Autonomous Navigation System Enhances Crop Phenotyping Robot Efficiency
RGB‐D camera and PP‐LiteSeg model enhance phenotyping robot navigation. Accurate real-time crop area detection and deviation correction achieved. Study shows…
Comprehensive Evaluation of Service Capability in EV Charging and Battery Swapping Stations
GTCW method integrates multiple evaluation techniques for comprehensive assessment. Case studies validate the effectiveness of the GTCW method. Adaptability of…
Innovative Soft Tactile Sensor for Robotic Grippers
The new soft tactile sensor is compact and highly efficient. It integrates advanced materials and deep learning models. Testing confirms…
Analyzing Closed-Loop Stability in Deep Reinforcement Learning Systems
Study explores stability in dynamic systems using DRL controllers. Combines Lyapunov analysis and polynomial approximations for insights. Includes rigorous testing…
