Bilevel Optimization for Just-in-Time Robotic Kitting and Delivery via Adaptive Task Segmentation and Scheduling

Author:

Tung Yi-Shiuan1,Bishop Kayleigh1,Hayes Bradley1,Roncone Alessandro1

Affiliation:

1. University of Colorado Boulder,Department of Computer Science,Boulder,CO,U.S.A.,80309

Funder

Arm

Office of Naval Research

Publisher

IEEE

Reference26 articles.

1. Tell me how you kit, i’ll tell you how you think;jeanson;Human Mental Workload Models and Applications - Second International Symposium H-WORKLOAD 2018,2018

2. Under-standing and exploring operator needs in mixed model assembly;joundi;EISMS19 Workshop on Research and Practice Challenges for Engineering Interactive Systems while Integrating Multiple Stakeholders Viewpoints,2019

3. Robot Operating System (ROS): The Complete Reference;koubaa,2017

4. An online scheduling algorithm for human-robot collaborative kitting

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1. Recency Bias in Task Performance History Affects Perceptions of Robot Competence and Trustworthiness;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Workspace Optimization Techniques to Improve Prediction of Human Motion During Human-Robot Collaboration;Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

3. Optimization of the Energy Consumption for Robotic Kitting in the Automotive Industry;Lecture Notes in Networks and Systems;2024

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