Michael Bowman

According to our database, Michael Bowman authored at least 32 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Intent-based Task-Oriented Shared Control for Intuitive Telemanipulation.

Michael Bowman, Jiucai Zhang, Xiaoli Zhang

J. Intell. Robotic Syst., December, 2024

2023

Dimension-Specific Shared Autonomy for Handling Disagreement in Telemanipulation.

Michael Bowman, Xiaoli Zhang

IEEE Robotics Autom. Lett., March, 2023

A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand Manipulation.

Lingfeng Tao, Jiucai Zhang, Michael Bowman, Xiaoli Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

WE-Filter: Adaptive Acceptance Criteria for Filter-based Shared Autonomy.

Michael Bowman, Xiaoli Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Forming Real-World Human-Robot Cooperation for Tasks With General Goal.

Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang

IEEE Robotics Autom. Lett., 2022

Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-Autonomous Telemanipulation.

Lingfeng Tao, Michael Bowman, Xu Zhou, Jiucai Zhang, Xiaoli Zhang

J. Intell. Robotic Syst., 2022

Transferability-based Chain Motion Mapping from Humans to Humanoids for Teleoperation.

Matthew Stanley, Yunsik Jung, Michael Bowman, Lingfeng Tao, Xiaoli Zhang

CoRR, 2022

Physics-Guided Hierarchical Reward Mechanism for LearningBased Multi-Finger Object Grasping.

Yunsik Jung, Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang

CoRR, 2022

2021

Learn Task First or Learn Human Partner First: A Hierarchical Task Decomposition Method for Human-Robot Cooperation.

Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Robot-Enhanced Telepresence of Remote Teachers for Effective Distance Learning.

Haozhe An, Michael Bowman, Songpo Li, Xiaoli Zhang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

Dynamic Pre-Grasp Planning when Tracing a Moving Object Through a Multi-Agent Perspective.

Michael Bowman, Xiaoli Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Inference of Manipulation Intent in Teleoperation for Robotic Assistance.

Songpo Li, Michael Bowman, Hamed Nobarani, Xiaoli Zhang

J. Intell. Robotic Syst., 2020

Forming Human-Robot Cooperation for Tasks with General Goal using Evolutionary Value Learning.

Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang

CoRR, 2020

Robust Robot-assisted Tele-grasping Through Intent-Uncertainty-Aware Planning.

Michael Bowman, Songpo Li, Xiaoli Zhang

CoRR, 2020

A General Arbitration Model for Robust Human-Robot Shared Control with Multi-Source Uncertainty Modeling.

Songpo Li, Michael Bowman, Xiaoli Zhang

CoRR, 2020

An Intent-based Task-aware Shared Control Framework for Intuitive Object Telemanipulation.

Michael Bowman, Xiaoli Zhang

CoRR, 2020

Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-autonomous Telemanipulation.

Lingfeng Tao, Michael Bowman, Xu Zhou, Xiaoli Zhang

CoRR, 2020

Learn Task First or Learn Human Partner First? Deep Reinforcement Learning of Human-Robot Cooperation in Asymmetric Hierarchical Dynamic Task.

Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang

CoRR, 2020

2019

Intent-Uncertainty-Aware Grasp Planning for Robust Robot Assistance in Telemanipulation.

Michael Bowman, Songpo Li, Xiaoli Zhang

Proceedings of the International Conference on Robotics and Automation, 2019

2010

Solving the Class Responsibility Assignment Problem in Object-Oriented Analysis with Multi-Objective Genetic Algorithms.

Michael Bowman, Lionel C. Briand, Yvan Labiche

IEEE Trans. Software Eng., 2010

2009

Guest Editorial.

Abdulrahman Yarali, Saifur Rahman, Michael Bowman

J. Commun., 2009

2007

Are We There Yet?

George Rice, Michael Bowman

J. Inf. Technol. Educ., 2007

An undergraduate rootkit research project: How available? How hard? How dangerous?

Michael Bowman, Heath D. Brown, Paul Pitt

Proceedings of the 4th Annual Conference on Information Security Curriculum Development, 2007

Multi-Objective Genetic Algorithm to Support Class Responsibility Assignment.

Michael Bowman, Lionel C. Briand, Yvan Labiche

Proceedings of the 23rd IEEE International Conference on Software Maintenance (ICSM 2007), 2007

2001

An Innovative Application from the DARPA Knowledge Bases Programs: Rapid Development of a Course-of-Action Critiquer.

Gheorghe Tecuci, Mihai Boicu, Michael Bowman, Dorin Marcu

AI Mag., 2001

Application of Disciple to decision making in complex and constrained environments.

Michael Bowman, Gheorghe Tecuci, Marion G. Ceruti

Proceedings of the IEEE International Conference on Systems, 2001

2000

An experiment in agent teaching by subject matter experts.

Gheorghe Tecuci, Mihai Boicu, Michael Bowman, Dorin Marcu, Ping Shyr

Int. J. Hum. Comput. Stud., 2000

Disciple-COA: From Agent Programming to Agent Teaching.

Mihai Boicu, Gheorghe Tecuci, Dorin Marcu, Michael Bowman, Ping Shyr, Florin Ciucu, Cristian Levcovici

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Rapid Development of a High Performance Knowledge Base for Course of Action Critiquing.

Gheorghe Tecuci, Mihai Boicu, Dorin Marcu, Michael Bowman, Florin Ciucu, Cristian Levcovici

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

A Methodology for Modeling and Representing Expert Knowledge that Supports Teaching-Based Intelligent Agent Development.

Michael Bowman, Gheorghe Tecuci, Mihai Boicu

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999

An Integrated Shell and Methodology for Rapid Development of Knowledge-Based Agents.

Gheorghe Tecuci, Mihai Boicu, Kathryn Wright, Seok Won Lee, Dorin Marcu, Michael Bowman

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

The Disciple Integrated Shell and Methodology for Rapid Development of Knowledge-Based Agents.

Mihai Boicu, Kathryn Wright, Dorin Marcu, Seok Won Lee, Michael Bowman, Gheorghe Tecuci

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999