Machine Learning with Robotics

A comprehensive survey of reinforcement learning for robot behavior. Weighs model-based against model-free methods and highlights the key challenges and successes.

Jens Kober J. Andrew Bagnell and Jan Peters

Presents a neural network approach to mobile robot navigation with a focus on obstacle avoidance. Learns motion decisions from human choices in varied situations.

Yiyang Chen, Chuanxin Cheng, Yueyuan Zhang, Xinlin Li and Lining Sun

Introduces machine learning to young students through robots and playful, hands-on activities. Uses a neural network playground to make the ideas tangible.

Viktoriya Olari, Kostadin Cvejoski and Oyvind Eide

Shows how a robot can learn to recognize human emotions from multiple signals during interaction. A look at making social robots more responsive to people.

Chuang Yu and Adriana Tapus