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Grasp Force Optimization as a Bilinear Matrix Inequality Problem: A Deep Learning Approach
Grasp force synthesis is a non-convex optimization problem involving constraints that are bilinear.
Reinforcement Learning-Based Bionic Reflex Control for Anthropomorphic Robotic Grasping exploiting Domain Randomization
In this study, we introduce an innovative bionic reflex control pipeline, leveraging reinforcement learning (RL); thereby eliminating the need for human intervention during control design.
Declarative Memory-based Structure for the Representation of Text Data
In the era of intelligent computing, computational progress in text processing is an essential consideration.
C3A: A Cognitive Collaborative Control Architecture For an Intelligent Wheelchair
Retention of residual skills for persons who partially lose their cognitive or physical ability is of utmost importance.
Machine Learning for E-mail Spam Filtering: Review,Techniques and Trends
We present a comprehensive review of the most effective content-based e-mail spam filtering techniques.
