Results 51 to 60 of about 6,998 (182)
In this article, we develop bespoke resins for stereolithography 3D‐printing of soft‐robotic grippers that are controlled remotely by electrothermal stimulus near ambient temperatures. Turning on the electrical control, each finger can be actuated separately.
Kalyan Ghosh +4 more
wiley +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Accurate and efficient mapping of road networks is crucial for evaluating urban development, transportation accessibility, and environmental impact.
Lixian Zhang +7 more
doaj +1 more source
FPGA IMPLEMENTATION OF ROAD NETWORK EXTRACTION USING MORPHOLOGICAL OPERATOR
In the remote sensing analysis, automatic extraction of road network from satellite or aerial images is the most needed approach for efficient road database creation, refinement, and updating. Mathematical morphology is a tool for extracting the features
Sujatha Chinnathevar, Selvathi Dharmar
doaj +1 more source
Automatic Main Road Extraction from High Resolution Satellite Imagery [PDF]
Road information is essential for automatic GIS (geographical information system) data acquisition, transportation and urban planning. Automatic road (network) detection from high resolution satellite imagery will hold great potential for significant ...
Chaudhary, Ravi Shekhar +1 more
core
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
A Novel Crawling Robot Based on the Hexagonal Mesh Structure and Enhanced PID Control Strategy
ABSTRACT The locomotion of crawling robots is similar to that of caterpillars, relying on foot adhesion and body contraction to ensure flexible movement without compromising stability. However, most existing pneumatic soft crawling robots are incapable of simultaneously achieving forward, backward, turning, and climbing capabilities.
Meng Hongjun +4 more
wiley +1 more source
Multiscale Residual Convolution Neural Network and Sector Descriptor-Based Road Detection Method
Road detection is a focus of research in the field of remote sensing image analysis. This task is normally difficult due to the complexity of the data, which are heterogeneous in appearance with large intra-class and lower inter-class variations that ...
Jiguang Dai +4 more
doaj +1 more source
Road Extraction From High-Resolution Satellite Images Based on Multiple Descriptors
Geometry and texture noise make it difficult to accurately describe road image rules, which leads to the low degree of automation of traditional template matching algorithms based on internal texture homogenization.
Jiguang Dai +4 more
doaj +1 more source
Actuation Strategies for Underwater Jet‐Propelled Soft Robots
ABSTRACT This review article examines jet‐propulsion mechanisms in underwater soft robotic systems, focusing exclusively on physically fabricated and experimentally validated robots. Covering research published from 2013 to 2025, this study classifies and evaluates jet‐propulsion robots based on their actuation mechanisms.
Angel Kitone +3 more
wiley +1 more source

