My research interests are in the area of machine learning for speech, language, and sound processing. I am particularly interested in multimodality and unsupervised ...
Patrick MacAlpine and Peter Stone.
Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion. Nate Kohl and Peter Stone.
In reinforcement learning (RL), a reward function that aligns exactly with a task's true performance metric is often sparse. For example, a true task metric might encode a reward of 1 upon success and ...
Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways. Jinsoo Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, and Peter Stone. In Proceedings of the 2023 IEEE ...
In RoboCup, the problem of quickly and accurately processing visual data continues to pose a significant challenge. The Aldebaran Nao, currently used by the Standard Platform League, has two cameras ...
Exploiting full-body dynamics in feedback control can enhance the balancing capability of a legged system using various techniques such as Whole-Body Control (WBC) or Centroidal Momentum control.
PhD student Yeonju Ro received the 2024 IBM PhD Fellowship award in December with an endowment of $40,000.
There will be five projects for this class, each emphasizing a different set of important skills. You will begin by writing a shell. Your other projects will exercise your knowledge of threads, user ...
In the multi-robot human guidance problem, a centralized controller makes use of multiple robots to provide navigational assistance to a human in order to reach a goal location. Previous work used ...
Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram ...
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