Matthias Scheutz

Matthias Scheutz

Tufts University

H-index: 57

North America-United States

About Matthias Scheutz

Matthias Scheutz, With an exceptional h-index of 57 and a recent h-index of 41 (since 2020), a distinguished researcher at Tufts University, specializes in the field of Artificial intelligence, robotics, human-robot interaction, natural language understanding, computational modeling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Assessing the Effects of Various Physiological Signal Modalities on Predicting Different Human Cognitive States

A neurosymbolic cognitive architecture framework for handling novelties in open worlds

Toward Competent Robot Apprentices: Enabling Proactive Troubleshooting in Collaborative Robots

Oh, Now I See What You Want: Learning Agent Models with Internal States from Observations

Human trust in the context of autonomous robots

Systems and Methods Enabling Online One-Shot Learning and Generalization by Intelligent Systems of Task-Relevant Features and Transfer to a Cohort of Intelligent Systems

NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds

Systems and methods for ensuring safe, norm-conforming and ethical behavior of intelligent systems

Matthias Scheutz Information

University

Position

Professor of Computer Science and Cognitive Science

Citations(all)

12366

Citations(since 2020)

6323

Cited By

8397

hIndex(all)

57

hIndex(since 2020)

41

i10Index(all)

237

i10Index(since 2020)

148

Email

University Profile Page

Tufts University

Google Scholar

View Google Scholar Profile

Matthias Scheutz Skills & Research Interests

Artificial intelligence

robotics

human-robot interaction

natural language understanding

computational modeling

Top articles of Matthias Scheutz

Title

Journal

Author(s)

Publication Date

Assessing the Effects of Various Physiological Signal Modalities on Predicting Different Human Cognitive States

bioRxiv

Ayca Aygun

Thuan Duc Nguyen

Matthias Scheutz

2024

A neurosymbolic cognitive architecture framework for handling novelties in open worlds

Artificial Intelligence

Shivam Goel

Panagiotis Lymperopoulos

Ravenna Thielstrom

Evan Krause

Patrick Feeney

...

2024/6/1

Toward Competent Robot Apprentices: Enabling Proactive Troubleshooting in Collaborative Robots

Machines

Christopher Thierauf

Theresa Law

Tyler Frasca

Matthias Scheutz

2024/1/18

Oh, Now I See What You Want: Learning Agent Models with Internal States from Observations

Panagiotis Lymperopoulos

Matthias Scheutz

2024/5/6

Human trust in the context of autonomous robots

Joseph B Lyons

Matthias Scheutz

Sarah A Jessup

2024/1/12

Systems and Methods Enabling Online One-Shot Learning and Generalization by Intelligent Systems of Task-Relevant Features and Transfer to a Cohort of Intelligent Systems

2023/5/9

NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds

arXiv preprint arXiv:2401.03546

Shivam Goel

Yichen Wei

Panagiotis Lymperopoulos

Matthias Scheutz

Jivko Sinapov

2024/1/7

Systems and methods for ensuring safe, norm-conforming and ethical behavior of intelligent systems

2024/1/2

Robots in healthcare as envisioned by care professionals

arXiv preprint arXiv:2206.00776

Fran Soljacic

Meia Chita-Tegmark

Theresa Law

Matthias Scheutz

2022/6/1

A Multi-Robot Architecture Framework for Effective Robot Teammates in Mixed-Initiative Teams

Matthias Scheutz

Bradley Oosterveld

John Peterson

Eric Wyss

Evan Krause

2024

Dialogue-based Task Instructions and Modifications for Industrial Robots

Automation, Robotics & Communications for Industry 4.0/5.0

M Scheutz

B Oosterveld

J Peterson

E Wyss

2024/2/7

The Resilience Game: A New Formalization of Resilience for Groups of Goal-Oriented Autonomous Agents

Michael A Goodrich

Jennifer Leaf

Julie A Adams

Matthias Scheutz

2023/5/30

On The Failure of Invariant Risk Minimization and an Effective fix via Classification Error Control

Thuan Nguyen

Matthias Scheutz

Shuchin Aeron

2023/9/17

Improving Human-Robot Team Performance with Proactivity and Shared Mental Models

Gwendolyn Edgar

Matthew McWilliams

Matthias Scheutz

2023/5/30

Encoding semantic attributes-Towards explainable AI in industry

Sarah Schneider

Doris Antensteiner

Daniel Soukup

Matthias Scheutz

2023/7/5

Understanding the spirit of a norm: Challenges for norm‐learning agents

AI Magazine

Thomas Arnold

Matthias Scheutz

2023/12

Barycentric-alignment and reconstruction loss minimization for domain generalization

IEEE Access

Boyang Lyu

Thuan Nguyen

Prakash Ishwar

Matthias Scheutz

Shuchin Aeron

2023/5/16

Investigating a generalization of probabilistic material implication and Bayesian conditionals

Michael Jahn

Matthias Scheutz

2023/7/2

Generalizing probabilistic material implication and Bayesian conditionals

International Journal of Approximate Reasoning

Michael Jahn

Matthias Scheutz

2023/11/1

Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments

arXiv preprint arXiv:2302.14208

Tung Thai

Ming Shen

Mayank Garg

Ayush Kalani

Nakul Vaidya

...

2023/2/28

See List of Professors in Matthias Scheutz University(Tufts University)