188 citations
- Mitsubishi Electric (United States)US9 papers
- Mitsubishi Electric (Japan)JP2 papers
- University of California, Los AngelesUS2 papers
- Beijing Institute of TechnologyCN1 paper
- Boston UniversityUS1 paper
- Chongqing University of Posts and TelecommunicationsCN1 paper
- Institute of Electrical and Electronics EngineersUS1 paper
- Shandong UniversityCN1 paper
- Tulane UniversityUS1 paper
- University of California, BerkeleyUS1 paper
- University of Illinois Urbana-ChampaignUS1 paper
- University of KansasUS1 paper
11 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…