Interesting Engineering

New adaptive system lets robots replicate human touch with far less training data

Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.
Tech Xplore on MSN

Adaptive motion system helps robots achieve human-like dexterity with minimal data

Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
IEEE

A Comparative Analysis of Human Activity Recognition Using Machine Learning and Deep Learning Techniques

Abstract: Human activity recognition (HAR) constitutes a significant subfield of artificial intelligence, addressing diverse problems such as improving human health and advancing innovative technology ...
Frontiers

Human intention recognition by deep LSTM and transformer networks for real-time human-robot collaboration

Humanoid and Cognitive Robotics Laboratory, Department of Automatics, Biocybernetics, and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia Collaboration between humans and robots is essential for ...
techxplore

AI gets a private tutor for learning human preferences more accurately

No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent? Conventional comparison learning, designed to help AI understand human preferences, ...
IEEE

Emotion Recognition from EEG Signals Using a Hybrid Deep Learning Approach

Abstract: In recent years, the rise of advanced machine learning techniques has led to an increase in research on brain-computer interfaces. It’s considered a multifaceted challenge to develop ...