Your Twin learns with you

30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Peter Stone

Professor

University of Texas at Austin
Country flagUnited States

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

About

Dr. Peter Stone is an Associate Professor at The University of Texas at Austin in the United States. His research focuses on artificial intelligence with a particular emphasis on reinforcement learning, robotics, and social navigation. Recent publications include works on adaptive planning, vision-based reinforcement learning for competitive environments, and large-scale datasets for robot manipulation. He is recognized for his contributions to understanding the challenges and opportunities within the field of autonomous systems.

Articles (11)

Year:

2026

Year:

2025

Year:

2025

Year:

2025

A major goal in robotics is to enable intelligent mobile robots to operate smoothly in shared human-robot environments. One of the most fundamental capabilities in service of this goal is competent navigation in this “social” context. As a result, there has been a recent surge of research on social navigation; and especially as it relates to the handling of conflicts between agents during social navigation. These developments introduce a variety of models and algorithms, however as this research area is inherently interdisciplinary, many of the relevant papers are not comparable and there is no shared standard vocabulary. This survey aims at bridging this gap by introducing such a common language, using it to survey existing work, and highlighting open problems. It starts by defining the boundaries of this survey to a limited, yet highly common type of social navigation—conflict avoidance. Within this proposed scope, this survey introduces a detailed taxonomy of the conflict avoidance components. This survey then maps existing work into this taxonomy, while discussing papers using its framing. Finally, this article proposes some future research directions and open problems that are currently on the frontier of social navigation to aid ongoing and future research.

Year:

2024

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Collaborators (4)

Justin Hart

Assistant Professor of Practice

University of Texas at Austin

UNITED STATES
View details

Mariam Faied

Associate Chair

University of Detroit Mercy

UNITED STATES
View details

Joydeep Biswas

Associate Professor

University of Texas at Austin

UNITED STATES
View details

Amna Mazen

Assistant Professor

Michigan Technological University

UNITED STATES
View details