activity
20132022
most citedSDP-based Joint Sensor and Controller Design for Information-regularized Optimal LQG Control

8 citations · 21 across the 18 of their papers we have counts for

collaborators

27 papers

eess.SY2022

Upper Bounds for Continuous-Time End-to-End Risks in Stochastic Robot Navigation

Apurva Patil, Takashi Tanaka

We present an analytical method to estimate the continuous-time collision probability of motion plans for autonomous agents with linear controlled Ito dynamics. Motion plans genera…

math.OC20221 cited

Chance-Constrained Stochastic Optimal Control via Path Integral and Finite Difference Methods

Apurva Patil, Alfredo Duarte, Aislinn Smith +2

This paper addresses a continuous-time continuous-space chance-constrained stochastic optimal control (SOC) problem via a Hamilton-Jacobi-Bellman (HJB) partial differential equatio…

eess.SY2022

Attack Impact Evaluation by Exact Convexification through State Space Augmentation

Hampei Sasahara, Takashi Tanaka, Henrik Sandberg

We address the attack impact evaluation problem for control system security. We formulate the problem as a Markov decision process with a temporally joint chance constraint that fo…

cs.IT20221 cited

Continuous-Time Channel Gain Control for Minimum-Information Kalman-Bucy Filtering

Takashi Tanaka, Vrushabh Zinage, Valery Ugrinovskii +1

We consider the problem of estimating a continuous-time Gauss-Markov source process observed through a vector Gaussian channel with an adjustable channel gain matrix. For a given (…

cs.RO2021

Dynamic Allocation of Visual Attention for Vision-based Autonomous Navigation under Data Rate Constraints

Ali Reza Pedram, Riku Funada, Takashi Tanaka

This paper considers the problem of task-dependent (top-down) attention allocation for vision-based autonomous navigation using known landmarks. Unlike the existing paradigm in whi…

cs.AI2021

Simultaneous Perception-Action Design via Invariant Finite Belief Sets

Michael Hibbard, Takashi Tanaka, Ufuk Topcu

Although perception is an increasingly dominant portion of the overall computational cost for autonomous systems, only a fraction of the information perceived is likely to be relev…