3 papers
math.OC2025
Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control
Apurva Patil
Stochastic Optimal Control (SOC) problems arise in systems influenced by uncertainty, such as autonomous robots or financial models. Traditional methods like dynamic programming ar…
eess.SY2025
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…
cs.RO2025
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…