Results 211 to 220 of about 78,002 (309)

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Advanced machine learning-guided optimization platform for high-yield soluble expression of Pseudomonas aeruginosa exotoxin A in engineered Escherichia coli strains. [PDF]

PLoS One
Mohammad SF, Ali F, Shynara M.
europepmc   +1 more source

Application of statistical machine translation to public health information: a feasibility study. [PDF]

J Am Med Inform Assoc, 2011
Kirchhoff K, Turner AM, Axelrod A, Saavedra F.   +3 more
europepmc   +1 more source

A Self‐Healing Permanent Magnet Putty for Soft Robot Skins With Force Sensing and Functional Recovery

Advanced Robotics Research, EarlyView.
Permanent magnet putty (PMP) integrates high‐coercivity NdFeB particles with a dynamic polyborosiloxane–Ecoflex matrix, achieving rapid self‐healing (90% mechanical recovery in 10 s) and magnetic recovery within 20 min. With twice the sensitivity of commercial putties, PMP enables precise 5–30 N force detection and discrimination between pressing and ...
Ruotong Zhao, Mitsuhiro Kamezaki, Ryosuke Dobashi, Yuhiro Iwamoto, Yasushi Ido, Yoshihiro Kawahara   +5 more
wiley   +1 more source

Integrative transcriptomic meta-analysis reveals conserved transcriptional signatures and predictive biomarkers for active tuberculosis: a pathway-based machine learning approach. [PDF]

Front Microbiol
Li T, Liu H, Lei Q, You Z.
europepmc   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Machine learning models based on magnetic resonance imaging for predicting Lymphovascular Invasion in Invasive Breast Cancer. [PDF]

PLoS One
Li H, Huang J, Hou J, Chen X, Zhi C, Li Z.   +5 more
europepmc   +1 more source

Statistical Machine Translation [PDF]

, 2011
openaire   +1 more source

Universal Gripper for Industrial Manipulation With Enhanced Rigid Mechanics and Self‐Adaptable Fingers

Advanced Robotics Research, EarlyView.
An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid, Nirmal Kumar Ravikumar, Mattia Frascio, Sumanth Nagalakunta, Alessandro Seitone, Benoît Lévesque, Alessandro Zanella, Matteo Zoppi   +7 more
wiley   +1 more source

Multi-Omics Biomarkers From Variant to Clinic: A Systematic Review and Meta-Analysis of Evidence, AI/ML, Governance, Equity, and Real-World Implementation Across Global Health Systems. [PDF]

Health Sci Rep
Das N.
europepmc   +1 more source