The Collaborative Future: Teaching Robots Through Mutual Understanding
A new framework enables robots and humans to learn from each other, building a shared understanding for more effective teamwork.
Science
Infinite Data for Robotic Hands
New simulation techniques are enabling robots to learn complex manipulation skills without needing endless real-world training.
Beyond Pairwise Relationships: Discovering Complex Causality
A new framework models higher-order interactions to reveal causal structures hidden from traditional methods.
Learning from Humans, for Robots
A new approach bridges the gap between human demonstrations and robotic control, even when humans and robots have different capabilities.
Brain-Inspired Networks Spot Anomalies with Greater Accuracy
New research explores how mimicking brain cell activity can improve the performance of anomaly detection systems.