Results 181 to 190 of about 52,126 (300)

Stable Organic Static Random Access Memory from a Roll-to-roll Compatible Vacuum Evaporation Process

, 2016
J. A. Ávila-Niño, Eifion R. Patchett, D. Taylor, H. Assender, S. Yeates, Z. Ding, J. Morrison   +6 more
semanticscholar   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
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

Enhanced Design and Characterization of a Wearable IMU for High-Frequency Motion Capture. [PDF]

Sensors (Basel)
Valdés-Tirado D, Carro GG, Alvarez JC, Álvarez D, López A.   +4 more
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

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

Machine learning driven aggregation aware bitmap MAC protocol for energy efficient data transmission in WSNs. [PDF]

Sci Rep
Alanazi F, Alanazi MN.
europepmc   +1 more source

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

Advanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

Privacy-Preserving Collaborative Diabetes Prediction in Heterogeneous Health Care Systems: Algorithm Development and Validation of a Secure Federated Ensemble Framework. [PDF]

JMIR Diabetes
Hasan MR, Li J.
europepmc   +1 more source

Multiomics Analyses Reveal an Essential Role of Tryptophan in Treatment of csDMARDs in Rheumatoid Arthritis

Advanced Science, EarlyView.
Rheumatoid arthritis is a disease characterized by joint inflammation. Approximately 50% of patients show insufficient response to traditional synthetic disease‐modifying antirheumatic drugs. This study aims to elucidate differential molecular profiles of the mechanisms underlying drug responses through multi‐omics strategy.
Congcong Jian, Jing Zhu, Jianhong Wu, Yan Zhang, Jianghua Chen, Huan Wang, Hengyan Liu, Ke Xu, Jiaxin Huang, Xiaoting Zhu, Yuanli Wei, Shilin Li, Tingting Wang, Xuan Huang, Qinghua Zou, Jie Zhang, Jiang Su, Xinming Du, Yaping Lu, Tianci Zhou, Yingtong Zhou, Minglong Tang, Bin Li, Xue Zhou, Qihao Wei, Qiulong Yan, Fanxin Zeng   +26 more
wiley   +1 more source