Results 181 to 190 of about 875,908 (286)

UTact: Underwater Vision‐Based Tactile Sensor with Geometry Reconstruction and Contact Force Estimation

Advanced Robotics Research, EarlyView.
Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang, Zonghao Zuo, Haoxuan Wang, Bin Liu, Yilidusi Yilihamu, Li Wen   +5 more
wiley   +1 more source

Principal fitted component framework for robust support vector regression based on bounded loss: A simulation study with potential applications. [PDF]

PLoS One
Tahir A, Ilyas M.
europepmc   +1 more source

Constructing an Intelligent Model Based on Support Vector Regression to Simulate the Solubility of Drugs in Polymeric Media. [PDF]

Pharmaceuticals (Basel), 2022
Senceroglu S, Ayari MA, Rezaei T, Faress F, Khandakar A, Chowdhury MEH, Jawhar ZH.   +6 more
europepmc   +1 more source

Sparse support vector regression based on orthogonal forward selection for the generalised kernel model

, 2006
Chen, S., Harris, C.J., Lowe, D., Wang, X.X.   +3 more
core   +1 more source

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

Resonance frequency prediction of dielectric antennas for liquid sensing via support vector regression. [PDF]

Sci Rep
Bazgir M, Sheikhi A, Dowlatshahi MB.
europepmc   +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

Twin support vector regression for characterizing uncertainty in surface reconstruction. [PDF]

Sci Rep
Yu S, Miao J, Qin F.
europepmc   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

Support vector regression model for the prediction of buildings' maximum seismic response based on real monitoring data. [PDF]

Sci Rep
Tao D, Fang S, Liu H, Lu J, Wang J, Ma Q.   +5 more
europepmc   +1 more source