activity
20242026
most citedErgodic Trajectory Optimization on Generalized Domains Using Maximum Mean Discrepancy

2 citations · 2 across the 5 of their papers we have counts for

collaborators

8 papers

cs.RO2026

Time-Optimal Ergodic Retrieval

Christian Sulana, Christian Hughes, Ian Abraham

Retrieval tasks are a form of search task where a robot must explore, find an object, and return with it as quickly as possible. Recent work in ergodic control has demonstrated tim…

cs.RO2026

Asymptotically Optimal Ergodic Coverage on Generalized Motion Fields

Christian Hughes, Yilang Liu, Yanis Lahrach +6

Autonomous robotic exploration in remote and extreme environments allows scientists to model complex transport phenomena and collective behaviors described by continuously deformin…

cs.RO2026

Stein Variational Uncertainty-Adaptive Model Predictive Control

Hrishikesh Sathyanarayan, Ian Abraham

We propose a Stein variational distributionally robust controller for nonlinear dynamical systems with latent parametric uncertainty. The method is an alternative to conservative w…

cs.RO2026

Infinite-Horizon Ergodic Control via Kernel Mean Embeddings

Christian Hughes, Ian Abraham

This paper derives an infinite-horizon ergodic controller based on kernel mean embeddings for long-duration coverage tasks on general domains. While existing kernel-based ergodic c…

cs.RO2025

Search at Scale: Improving Numerical Conditioning of Ergodic Coverage Optimization for Multi-Scale Domains

Yanis Lahrach, Christian Hughes, Ian Abraham

Recent methods in ergodic coverage planning have shown promise as tools that can adapt to a wide range of geometric coverage problems with general constraints, but are highly sensi…

cs.RO2024★ 2 cited

Ergodic Trajectory Optimization on Generalized Domains Using Maximum Mean Discrepancy

Christian Hughes, Houston Warren, Darrick Lee +2

We present a novel formulation of ergodic trajectory optimization that can be specified over general domains using kernel maximum mean discrepancy. Ergodic trajectory optimization…

cs.RO2024

Stein Variational Ergodic Search

Darrick Lee, Cameron Lerch, Fabio Ramos +1

Exploration requires that robots reason about numerous ways to cover a space in response to dynamically changing conditions. However, in continuous domains there are potentially in…

cs.RO2024

RAnGE: Reachability Analysis for Guaranteed Ergodicity

Henry Berger, Ian Abraham

This paper investigates performance guarantees on coverage-based ergodic exploration methods in environments containing disturbances. Ergodic exploration methods generate trajector…