research
∙
05/15/2023
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs
In numerous robotics and mechanical engineering applications, among othe...
share
research
∙
05/18/2022
Neural ODE Control for Trajectory Approximation of Continuity Equation
We consider the controllability problem for the continuity equation, cor...
research
∙
02/25/2022
A blob method for inhomogeneous diffusion with applications to multi-agent control and sampling
As a counterpoint to classical stochastic particle methods for linear di...
research
∙
09/20/2020
Multi-Robot Target Search using Probabilistic Consensus on Discrete Markov Chains
In this paper, we propose a probabilistic consensus-based multi-robot se...
research
∙
06/29/2020
Using Reinforcement Learning to Herd a Robotic Swarm to a Target Distribution
In this paper, we present a reinforcement learning approach to designing...
research
∙
11/29/2017
PDE-Based Optimization for Stochastic Mapping and Coverage Strategies using Robotic Ensembles
This paper presents a novel partial differential equation (PDE)-based fr...
research
∙
03/21/2017
