L Yang, X Han, W Guo, F Wan, J Pan… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
This letter presents a novel design of a soft tactile finger with omni-directional adaptation using multi-channel optical fibers for rigid-soft interactive grasping. Machine learning …
During the operation of many real-time safety-critical systems, there are often strong needs for adapting to a dynamic environment or evolving mission objectives, eg, increasing …
Future autonomous systems will rely on advanced sensors and deep neural networks for perceiving the environment, and then utilize the perceived information for system planning …
Machine learning techniques, particularly those based on deep neural networks (DNNs), are widely adopted in the development of advanced driver-assistance systems (ADAS) and …
Abstract Cyber-physical systems (CPS), as a multidisciplinary area, have been widely adopted in our daily life and attract experts from various fields. CPS aims to achieve real …