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03/20/2023
Opportunities and Challenges to Integrate Artificial Intelligence into Manufacturing Systems: Thoughts from a Panel Discussion
Rapid advances in artificial intelligence (AI) have the potential to sig...
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11/07/2022
Learning Task Requirements and Agent Capabilities for Multi-agent Task Allocation
This paper presents a learning framework to estimate an agent capability...
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09/21/2022
Convolutional Bayesian Kernel Inference for 3D Semantic Mapping
Robotic perception is currently at a cross-roads between modern methods ...
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07/07/2022
A Model-based Multi-agent Framework to Enable an Agile Response to Supply Chain Disruptions
Due to the COVID-19 pandemic, the global supply chain is disrupted at an...
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03/14/2022
MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments
This work addresses a gap in semantic scene completion (SSC) data by cre...
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01/25/2022
Simultaneous Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty
This work presents a framework for multi-robot tour guidance in a partia...
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12/08/2021
Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification
Machine-part interaction classification is a key capability required by ...
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08/06/2021
Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference
This paper reports on a dynamic semantic mapping framework that incorpor...
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06/23/2021
Robust Task Scheduling for Heterogeneous Robot Teams under Capability Uncertainty
This paper develops a stochastic programming framework for multi-agent s...
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10/22/2020