Results 171 to 180 of about 225,952 (299)
Research on scheduling optimization of ship plate processing workshop based on improved NSGA-II algorithm. [PDF]
Dong L +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
Magnetic Field Driven Microrobot Based on Hydrogels
Hydrogel‐based magnetic microrobots synergize remote magnetic control with the biocompatibility of flexible hydrogels, emerging as promising tools for minimally invasive biomedicine. This enables remotely controllable, untethered navigation within complex biological microenvironments.
Juncai Song, Yubing Guo
wiley +1 more source
Application of Levy flight-based harmony search algorithm for the flexible job shop scheduling. [PDF]
Li J, Zhou Y.
europepmc +1 more source
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
A Review of the Expansion and Integration of Production Line Balancing Problems: From Core Issues to System Integration. [PDF]
Sitahong A, Lu Z, Yuan Y, Mo P, Ma J.
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
A novel dynamic scheduling model for application in multimode approach. [PDF]
Elqabli Z, Kamach O, Khatab A, Chater Y.
europepmc +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Solving multi-scenario hybrid flow shop scheduling problem based on an improved probe machine model. [PDF]
Tian X, Kong Y, Liu X.
europepmc +1 more source

