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
Multimodal skin care system using combined image and impedance-based diagnostics. [PDF]
Nguyen BT +6 more
europepmc +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
Deep learning-enhanced dual-mode multiplexed optical sensor for point-of-care diagnostics of cardiovascular diseases. [PDF]
Han GR +14 more
europepmc +1 more source
VLM-Nav: Mapless UAV navigation using monocular vision driven by vision-language models. [PDF]
Sarker GC, Azad A, Rahman S, Hasan MM.
europepmc +1 more source
CRFusion: a novel LiDAR-camera fusion network for BEV map construction. [PDF]
Guan Y +6 more
europepmc +1 more source
AI-Powered Service Robots for Smart Airport Operations: Real-World Implementation and Performance Analysis in Passenger Flow Management. [PDF]
Giannopoulou E +4 more
europepmc +1 more source
Event-Based Machine Vision for Edge AI Computing. [PDF]
Park PKJ, Kim J, Ko J, Chang Y.
europepmc +1 more source
Vision-Controlled autonomous navigation in unstructured environments: Integrating image processing, path planning, and trajectory control in robotic systems. [PDF]
Wang P, Yu H, Wang S.
europepmc +1 more source

