2.5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Mitsubishi Electric (United States)US67 papers
- Mitsubishi Electric (Japan)JP14 papers
- Johns Hopkins UniversityUS12 papers
- Boston UniversityUS9 papers
- Carnegie Mellon UniversityUS6 papers
- Georgia Institute of TechnologyUS6 papers
- Massachusetts Institute of TechnologyUS6 papers
- University of KansasUS6 papers
- Harvard UniversityUS5 papers
- Princeton UniversityUS5 papers
- Nagoya UniversityJP4 papers
- New York UniversityUS4 papers
159 papers
Tactile Tool Manipulation
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan +1
Humans can effortlessly perform very complex, dexterous manipulation tasks by reacting to sensor observations. In contrast, robots can not perform reactive manipulation and they mo…
Tailored Presolve Techniques in Branch-and-Bound Method for Fast Mixed-Integer Optimal Control Applications
Rien Quirynen, Stefano Di Cairano
Mixed-integer model predictive control (MI-MPC) can be a powerful tool for modeling hybrid control systems. In case of a linear-quadratic objective in combination with linear or pi…
Latent Iterative Refinement for Modular Source Separation
Dimitrios Bralios, Efthymios Tzinis, Gordon Wichern +2
Traditional source separation approaches train deep neural network models end-to-end with all the data available at once by minimizing the empirical risk on the whole training set.…
Adversarial Bi-Regressor Network for Domain Adaptive Regression
Haifeng Xia, Pu Perry Wang, Toshiaki Koike-Akino +3
Domain adaptation (DA) aims to transfer the knowledge of a well-labeled source domain to facilitate unlabeled target learning. When turning to specific tasks such as indoor (Wi-Fi)…
Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse
James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras
We develop a new class of model-free deep reinforcement learning algorithms for data-driven, learning-based control. Our Generalized Policy Improvement algorithms combine the polic…
Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization
Yuki Shirai, Devesh K. Jha, Arvind Raghunathan +1
Generalizable manipulation requires that robots be able to interact with novel objects and environment. This requirement makes manipulation extremely challenging as a robot has to…
Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries
Hao Tu, Scott Moura, Yebin Wang +1
Mathematical modeling of lithium-ion batteries (LiBs) is a primary challenge in advanced battery management. This paper proposes two new frameworks to integrate physics-based model…
Automated Controller Calibration by Kalman Filtering
Marcel Menner, Karl Berntorp, Stefano Di Cairano
This paper proposes a method for calibrating control parameters. Examples of such control parameters are gains of PID controllers, weights of a cost function for optimal control, f…
A Rate Splitting Strategy for Uplink CR-NOMA Systems
Hongwu Liu, Zhiquan Bai, Hongjiang Lei +3
In uplink non-orthogonal multiple access (NOMA) channels, the existing cooperative successive interference cancellation (SIC) and power control (PC) schemes lack the capability of…
On The Compensation Between Magnitude and Phase in Speech Separation
Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux
Deep neural network (DNN) based end-to-end optimization in the complex time-frequency (T-F) domain or time domain has shown considerable potential in monaural speech separation. Ma…
Optimal Control for Quantum Metrology via Pontryagin's principle
Chungwei Lin, Yanting Ma, Dries Sels
Quantum metrology comprises a set of techniques and protocols that utilize quantum features for parameter estimation which can in principle outperform any procedure based on classi…
Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models
Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski +2
In this paper, we consider the use of black-box Gaussian process (GP) models for trajectory tracking control based on feedback linearization, in the context of mechanical systems.…
Fast and High-Quality Blind Multi-Spectral Image Pansharpening
Lantao Yu, Dehong Liu, Hassan Mansour +1
Blind pansharpening addresses the problem of generating a high spatial-resolution multi-spectral (HRMS) image given a low spatial-resolution multi-spectral (LRMS) image with the gu…
DNN-assisted optical geometric constellation shaped PSK modulation for PAM4-to-QPSK format conversion gateway node
Takahiro Kodama, Toshiaki Koike-Akino, David S. Millar +2
An optical gateway to convert four-level pulse amplitude modulation to quadrature phase shift keying modulation format having shaping gain was proposed for flexible intensity to ph…
Model Order Reduction for Water Quality Dynamics
Shen Wang, Ahmad F. Taha, Ankush Chakrabarty +2
A state-space representation of water quality dynamics describing disinfectant (e.g., chlorine) transport dynamics in drinking water distribution networks has been recently propose…
Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application
Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello +3
In this paper, we present a Model-Based Reinforcement Learning (MBRL) algorithm named \emph{Monte Carlo Probabilistic Inference for Learning COntrol} (MC-PILCO). The algorithm reli…
Stability Analysis of Discrete-Time Linear Complementarity Systems
Arvind U. Raghunathan, Jeffrey T. Linderoth
A Discrete-Time Linear Complementarity System (DLCS) is a dynamical system in discrete time whose state evolution is governed by linear dynamics in states and algebraic variables t…
Graph Cross Networks with Vertex Infomax Pooling
Maosen Li, Siheng Chen, Ya Zhang +1
We propose a novel graph cross network (GXN) to achieve comprehensive feature learning from multiple scales of a graph. Based on trainable hierarchical representations of a graph,…
Distributed Coding of Quantized Random Projections
Maxim Goukhshtein, Petros T. Boufounos, Toshiaki Koike-Akino +1
In this paper we propose a new framework for distributed source coding of structured sources, such as sparse signals. Our framework capitalizes on recent advances in the theory of…
On The Convergence of Euler Discretization of Finite-Time Convergent Gradient Flows
Siqi Zhang, Mouhacine Benosman, Orlando Romero
In this study, we investigate the performance of two novel first-order optimization algorithms, namely the rescaled-gradient flow (RGF) and the signed-gradient flow (SGF). These al…
Exploiting Linear Substructure In LRKFs (Extended)
M. Greiff, K. Berntorp, A. Robertsson
We exploit knowledge of linear substructure in the linear-regression Kalman filters (LRKFs) to simplify the problem of moment matching. The theoretical results yield quantifiable a…
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction
Mo Han, Ozan Ozdenizci, Ye Wang +2
Recent developments in biosignal processing have enabled users to exploit their physiological status for manipulating devices in a reliable and safe manner. One major challenge of…
Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning
Shen Zhang, Fei Ye, Bingnan Wang +1
The rapid development of artificial intelligence and deep learning has provided many opportunities to further enhance the safety, stability, and accuracy of industrial Cyber-Physic…
Two-Dimensional Non-Line-of-Sight Scene Estimation from a Single Edge Occluder
Sheila W. Seidel, John Murray-Bruce, Yanting Ma +3
Passive non-line-of-sight imaging methods are often faster and stealthier than their active counterparts, requiring less complex and costly equipment. However, many of these method…