Results 201 to 210 of about 197,676 (281)
Reinforcement Learning for Attack Mitigation in SDN-enabled Networks
Mikhail Zolotukhin +2 more
openalex +2 more sources
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa +10 more
wiley +1 more source
Vision‐Assisted Avocado Harvesting with Aerial Bimanual Manipulation
This work outlines the design and implementation of a bimanual aerial robot that employs visual perception and learning to detect, reach, and harvest avocados. A new gripper and fixer arm assembly is used to harvest avocados, while visual perception enables the detection of avocados and estimation of their position and orientation for determining ...
Zhichao Liu +3 more
wiley +1 more source
Network traffic control method of NHP based on deep reinforcement learning. [PDF]
Huang Q, Tan Z, Wang Q, Jia Z, Chen B.
europepmc +1 more source
Peeking inside the Black-Box: Reinforcement Learning for Explainable and Accurate Relation Extraction [PDF]
Xinyu Guo +4 more
openalex +1 more source
Combining a biomimetic soft‐robot with deep‐learning data analytics sheds light on a unique peripheral dynamics seen in the biosonar system of bats: Bats modulate their ultrasonic biosonar signals upon emission as well as reception with variable, yet highly coordinated motion patterns of their noseleaves and pinnae.
Shuxin Zhang +4 more
wiley +1 more source
Autonomous navigation in unstructured outdoor environments using semantic segmentation guided reinforcement learning. [PDF]
Tibermacine A +4 more
europepmc +1 more source
Systematic Review of Reinforcement Learning in Process Industries: A Contextual and Taxonomic Approach [PDF]
Marco Antonio Paz Ramos, Axel Busboom
openalex +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source

