5 papers
Strong Duality and Dual Ascent Approach to Continuous-Time Chance-Constrained Stochastic Optimal Control
Apurva Patil, Alfredo Duarte, Fabrizio Bisetti +1
The paper addresses a continuous-time continuous-space chance-constrained stochastic optimal control (SOC) problem where the probability of failure to satisfy given state constrain…
Model Predictive Path Integral Control for Roll-to-Roll Manufacturing
Christopher Martin, Apurva Patil, Wei Li +2
Roll-to-roll (R2R) manufacturing is a continuous processing technology essential for scalable production of thin-film materials and printed electronics, but precise control remains…
Path Integral Methods for Synthesizing and Preventing Stealthy Attacks in Nonlinear Cyber-Physical Systems
Apurva Patil, Kyle Morgenstein, Luis Sentis +1
This paper studies the synthesis and mitigation of stealthy attacks in nonlinear cyber-physical systems (CPS). To quantify stealthiness, we employ the Kullback-Leibler (KL) diverge…
Task Hierarchical Control via Null-Space Projection and Path Integral Approach
Apurva Patil, Riku Funada, Takashi Tanaka +1
This paper addresses the problem of hierarchical task control, where a robotic system must perform multiple subtasks with varying levels of priority. A commonly used approach for h…
Fast End-to-End Generation of Belief Space Paths for Minimum Sensing Navigation
Lukas Taus, Vrushabh Zinage, Takashi Tanaka +1
We revisit the problem of motion planning in the Gaussian belief space. Motivated by the fact that most existing sampling-based planners suffer from high computational costs due to…