80 citations · 167 across the 25 of their papers we have counts for
13 papers · 1 filter
Incorporating Data Uncertainty in Object Tracking Algorithms
Anish Muthali, Forrest Laine, Claire Tomlin
Methodologies for incorporating the uncertainties characteristic of data-driven object detectors into object tracking algorithms are explored. Object tracking methods rely on measu…
Towards cyber-physical systems robust to communication delays: A differential game approach
Shankar A. Deka, Donggun Lee, Claire J. Tomlin
Collaboration between interconnected cyber-physical systems is becoming increasingly pervasive. Time-delays in communication channels between such systems are known to induce catas…
Multi-Task Learning with Sequence-Conditioned Transporter Networks
Michael H. Lim, Andy Zeng, Brian Ichter +5
Enabling robots to solve multiple manipulation tasks has a wide range of industrial applications. While learning-based approaches enjoy flexibility and generalizability, scaling th…
Discretizing Dynamics for Maximum Likelihood Constraint Inference
Kaylene C. Stocking, David L. McPherson, Robert P. Matthew +1
Maximum likelihood constraint inference is a powerful technique for identifying unmodeled constraints that affect the behavior of a demonstrator acting under a known objective func…
Lax Formulae for Efficiently Solving Two Classes of State-Constrained Optimal Control Problems
Donggun Lee, Claire J. Tomlin
This paper presents Lax formulae for solving the following optimal control problems: minimize the maximum (or the minimum) cost over a time horizon, while satisfying a state constr…
Hamilton-Jacobi Equations for Two Classes of State-Constrained Zero-Sum Games
Donggun Lee, Claire J. Tomlin
This paper presents Hamilton-Jacobi (HJ) formulations for two classes of two-player zero-sum games: one with a maximum cost value over time, and one with a minimum cost value over…