Byung-Cheol Min

Associate Professor

Purdue University

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Byung-Cheol Min is an Associate Professor at Purdue University, United States. His research focuses on areas such as reinforcement learning, multi-robot systems, and multimodal predictive modeling in robotics. Recent publications include work on preference-based learning enhanced by crowdsourced models and methods for dynamic computational offloading in cloud robotics.

Articles (13)

Year:

2025

Year:

2025

Year:

2025

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Collaborators (4)

Ramviyas Nattanmai Parasuraman

KTH Royal Institute of Technology

SWEDEN

View details

Richard Voyles

Daniel C. Lewis Professor of the Polytechnic Institute

Purdue University

UNITED STATES

View details

Yogang Singh

Lecturer (Assistant Professor) in Automation, Control and Systems Engineering

Sheffield Hallam University

UNITED KINGDOM

View details

Sara McMillan

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Byung-Cheol Min

Research Interests

Explore related searches

Contact this professor

About

Articles (13)

PrefCLM: Enhancing Preference-Based Reinforcement Learning With Crowdsourced Large Language Models

Cognitive Load-Based Affective Workload Allocation for Multihuman Multirobot Teams

Multimodal Audio-Based Disease Prediction With Transformer-Based Hierarchical Fusion Network

A Deep Reinforcement Learning-Based Dynamic Computational Offloading Method for Cloud Robotics

Investigating the Effect of Deictic Movements of a Multi-Robot

Adaptive Workload Allocation for Multi-Human Multi-Robot Teams for Independent and Homogeneous Tasks

Evaluation of Sampling Methods for Robotic Sediment Sampling Systems

Maneuvering ability-based weighted potential field framework for multi-USV navigation, guidance, and control

Multipoint Rendezvous in Multirobot Systems

ROSbag-based Multimodal Affective Dataset for Emotional and Cognitive States

Smart Cloud: Scalable Cloud Robotic Architecture for Web-powered Multi-Robot Applications

The humanitarian flying warehouse

Two echelon vehicle routing problem with drones in last mile delivery

Collaborators (4)

Ramviyas Nattanmai Parasuraman

Richard Voyles

Yogang Singh

Sara McMillan

Make your next move.