Results 211 to 220 of about 2,300,448 (304)
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
Advanced Robotics Research, EarlyView.This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
Climate change and bird reproduction: warmer springs benefit breeding success in boreal forest grouse. [PDF]
Proc Biol Sci, 2017 Wegge P, Rolstad J.
europepmc +1 more source
Flexible Sensors for Robotics Tactile Perception: A Review
Advanced Robotics Research, EarlyView.Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley +1 more source
Dual‐Mode Gripper With Suction and Shape‐Adaptive Freezing Grasps
Advanced Robotics Research, EarlyView.This study presents a dual‐mode robotic gripper that combines vacuum suction with a shape‐adaptive freezing grasp. The freezing mode uses a compliant rubber membrane, a sprayed water layer, and dry‐ice powder to generate ice‐mediated adhesion while conforming to complex geometries.
Takuma Yanagisawa +4 more
wiley +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
Advanced Science, EarlyView.This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Sea ice phenology and primary productivity pulses shape breeding success in Arctic seabirds. [PDF]
Sci Rep, 2017 Ramírez F +6 more
europepmc +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Advanced Science, EarlyView.Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Consideration on Successive Breeding in Captivity
Japanese Journal of Zoo and Wildlife Medicine, 1996 openaire +2 more sources