80 citations · 173 across the 29 of their papers we have counts for
4 papers · 1 filter
Deep Learning-Based Semantic Segmentation of Microscale Objects
Ekta U. Samani, Wei Guo, Ashis G. Banerjee
Accurate estimation of the positions and shapes of microscale objects is crucial for automated imaging-guided manipulation using a non-contact technique such as optical tweezers. P…
Identifying the Influential Inputs for Network Output Variance Using Sparse Polynomial Chaos Expansion
Zhanlin Liu, Ashis G. Banerjee, Youngjun Choe
Sensitivity analysis (SA) is an important aspect of process automation. It often aims to identify the process inputs that influence the process output's variance significantly. Exi…
An Efficient Scheduling Algorithm for Multi-Robot Task Allocation in Assembling Aircraft Structures
Veniamin Tereshchuk, John Stewart, Nikolay Bykov +3
Efficient utilization of cooperating robots in the assembly of aircraft structures relies on balancing the workload of the robots and ensuring collision-free scheduling. We cast th…
Toward Ergonomic Risk Prediction via Segmentation of Indoor Object Manipulation Actions Using Spatiotemporal Convolutional Networks
Behnoosh Parsa, Ekta U. Samani, Rose Hendrix +4
Automated real-time prediction of the ergonomic risks of manipulating objects is a key unsolved challenge in developing effective human-robot collaboration systems for logistics an…