32 citations · 95 across the 14 of their papers we have counts for
6 papers · 1 filter
Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification
Hao Wang, Yassine Qamsane, James Moyne +1
Machine-part interaction classification is a key capability required by Cyber-Physical Systems (CPS), a pivotal enabler of Smart Manufacturing (SM). While previous relevant studies…
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation
Efe C. Balta, Kira Barton, Dawn M. Tilbury +2
Learning-based control methods utilize run-time data from the underlying process to improve the controller performance under model mismatch and unmodeled disturbances. This is bene…
Iterative learning control with discrete-time nonlinear nonminimum phase models via stable inversion
Isaac A Spiegel, Nard Strijbosch, Tom Oomen +1
Output reference tracking can be improved by iteratively learning from past data to inform the design of feedforward control inputs for subsequent tracking attempts. This process i…
Receding Horizon Iterative Learning Control for Continuously Operated Systems
Maxwell Wu, Mitchell Cobb, James Reed +3
This paper presents an iterative learning control (ILC) scheme for continuously operated repetitive systems for which no initial condition reset exists. To accomplish this, we deve…
Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference
Aishwarya Unnikrishnan, Joey Wilson, Lu Gan +4
This paper reports on a dynamic semantic mapping framework that incorporates 3D scene flow measurements into a closed-form Bayesian inference model. Existence of dynamic objects in…
Robust Task Scheduling for Heterogeneous Robot Teams under Capability Uncertainty
Bo Fu, William Smith, Denise Rizzo +3
This paper develops a stochastic programming framework for multi-agent systems where task decomposition, assignment, and scheduling problems are simultaneously optimized. The frame…