2 citations · 6 across the 7 of their papers we have counts for
8 papers
Safely: Safe Stochastic Motion Planning Under Constrained Sensing via Duality
Michael Hibbard, Abraham P. Vinod, Jesse Quattrociocchi +1
Consider a robot operating in an uncertain environment with stochastic, dynamic obstacles. Despite the clear benefits for trajectory optimization, it is often hard to keep track of…
Physical-Layer Security via Distributed Beamforming in the Presence of Adversaries with Unknown Locations
Yagiz Savas, Abolfazl Hashemi, Abraham P. Vinod +2
We study the problem of securely communicating a sequence of information bits with a client in the presence of multiple adversaries at unknown locations in the environment. We assu…
Constrained, Global Optimization of Functions with Lipschitz Continuous Gradients
Abraham P. Vinod, Arie Israel, Ufuk Topcu
We present two first-order, sequential optimization algorithms to solve constrained optimization problems. We consider a black-box setting with a priori unknown, non-convex objecti…
Convexified Open-Loop Stochastic Optimal Control for Linear Non-Gaussian Systems
Vignesh Sivaramakrishnan, Abraham P. Vinod, Meeko M. K. Oishi
We consider stochastic optimal control of linear dynamical systems with additive non-Gaussian disturbance. We propose a novel, sampling-free approach, based on Fourier transformati…
On-The-Fly Control of Unknown Smooth Systems from Limited Data
Franck Djeumou, Abraham P. Vinod, Eric Goubault +2
We investigate the problem of data-driven, on-the-fly control of systems with unknown nonlinear dynamics where data from only a single finite-horizon trajectory and possibly side i…
Near-Optimal Reactive Synthesis Incorporating Runtime Information
Suda Bharadwaj, Abraham P. Vinod, Rayna Dimitrova +1
We consider the problem of optimal reactive synthesis - compute a strategy that satisfies a mission specification in a dynamic environment, and optimizes a performance metric. We i…