Results 51 to 60 of about 1,499,547 (353)
GelSight: High-Resolution Robot Tactile Sensors for Estimating Geometry and Force
Italian National Conference on Sensors, 2017 Tactile sensing is an important perception mode for robots, but the existing tactile technologies have multiple limitations. What kind of tactile information robots need, and how to use the information, remain open questions.
Wenzhen Yuan, Siyuan Dong, E. Adelson
semanticscholar +1 more source
FEBS Letters, EarlyView.Spinal muscular atrophy (SMA) is a genetic disease affecting motor neurons. Individuals with SMA experience mitochondrial dysfunction and oxidative stress. The aim of the study was to investigate the effect of an antioxidant and neuroprotective substance, ergothioneine (ERGO), on an SMNΔ7 mouse model of SMA.
Francesca Cadile +8 more
wiley +1 more source
Pattern Classification Using Quantized Neural Networks for FPGA-Based Low-Power IoT Devices
Sensors, 2022 With the recent growth of the Internet of Things (IoT) and the demand for faster computation, quantized neural networks (QNNs) or QNN-enabled IoT can offer better performance than conventional convolution neural networks (CNNs).
Manas Ranjan Biswal +5 more
doaj +1 more source
FEBS Letters, EarlyView.Single‐cell RNA sequencing reveals an opposite role of SLPI in basal tumors based on metastatic spread, along with shared activation of specific regulons in cancer cells and mature luminal lactocytes, as well as downregulation of MALAT1 and NEAT1 in the latter.
Pietro Ancona +4 more
wiley +1 more source
Scientific ReportsThis paper presents a novel robotic exoskeleton that is exceptionally lightweight and compact, while providing effective gait assistance. To maximize the system’s assistance-to-weight/size ratio, the design focuses on two key aspects of human gait ...
Bokman Lim +5 more
doaj +1 more source
Hierarchical Decomposed-Objective Model Predictive Control for Autonomous Casualty Extraction
IEEE Access, 2021 In recent years, several robots have been developed and deployed to perform casualty extraction tasks. However, the majority of these robots are overly complex, and require teleoperation via either a skilled operator or a specialised device, and often ...
Roni Permana Saputra +4 more
doaj +1 more source
Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours [PDF]
IEEE International Conference on Robotics and Automation, 2015 Current model free learning-based robot grasping approaches exploit human-labeled datasets for training the models. However, there are two problems with such a methodology: (a) since each object can be grasped in multiple ways, manually labeling grasp ...
Lerrel Pinto, A. Gupta
semanticscholar +1 more source
Molecular Oncology, EarlyView.Non‐thermal plasma treatment of melanoma cells induced epithelial‐mesenchymal transition (EMT) in a dose‐dependent fashion. This report highlights the critical need to further investigate potential adverse effects of non‐thermal plasma for cancer therapy and to optimize treatment parameters for clinical translation. Despite the promising results of non‐
Eline Biscop +10 more
wiley +1 more source
SICOT-J, 2017 Robots have been successfully used in commercial industry and have enabled humans to perform tasks which are repetitive, dangerous and requiring extreme force. Their role has evolved and now includes many aspects of surgery to improve safety and precision.
Shenoy, R, Nathwani, D
openaire +6 more sources
Exploration of Mehrabian’s communication model with an android
Scientific ReportsMultimodal emotional expressions play an essential role in real-life communication. Mehrabian and colleagues suggested that facial expressions may have the greatest emotional impact, followed by vocal and verbal expressions.
Wataru Sato +2 more
doaj +1 more source