← Search

Ross L. Hatton

17 accepted papers

2025

Geometric Design and Gait Co-Optimization for Soft Continuum Robots Swimming at Low and High Reynolds Numbers

ICRA 2025

Recent advancements in soft actuators have enabled soft continuum swimming robots to achieve higher efficiency and more closely mimic the behaviors of real marine animals. However, optimizing the design and control of these soft continuum robots remains a significant challenge. In this paper, we pre

Cited by 1SourceScholar
2024

Towards Geometric Motion Planning for High-Dimensional Systems: Gait-Based Coordinate Optimization and Local Metrics

ICRA 2024poster

Geometric motion planning offers effective and interpretable gait analysis and optimization tools for locomoting systems. However, due to the curse of dimensionality in coordinate optimization, a key component of geometric motion planning, it is almost infeasible to apply current geometric motion pl…

Cited by 7SourceScholar
2022

Motion Planning for Agile Legged Locomotion using Failure Margin Constraints

IROS 2022poster

The complex dynamics of agile robotic legged locomotion requires motion planning to intelligently adjust footstep locations. Often, bipedal footstep and motion planning use mathematically simple models such as the linear inverted pendulum, instead of dynamically-rich models that do not have closed-f…

Cited by 2SourceScholar
2021

Learning Spring Mass Locomotion: Guiding Policies With a Reduced-Order Model

RA-L 2021

In this letter, we describe an approach to achieve dynamic legged locomotion on physical robots which combines existing methods for control with reinforcement learning. Specifically, our goal is a control hierarchy in which highest-level behaviors are planned through reduced-order models, which desc

Cited by 62SourceScholar
2020

Planning for the Unexpected: Explicitly Optimizing Motions for Ground Uncertainty in Running

ICRA 2020poster

We propose a method to generate actuation plans for a reduced order, dynamic model of bipedal running. This method explicitly enforces robustness to ground uncertainty. The plan generated is not a fixed body trajectory that is aggressively stabilized: instead, the plan interacts with the passive dyn…

Cited by 22SourceScholar
2016

Geometric Swimming on a Granular Surface

RSS 2016poster

Snake robots can contact their environments along their whole bodies. This distributed contact makes them versatile and robust locomotors, but also makes controlling them a chal- lenging problem involving high-dimensional configuration spaces, with no direct way to break their motion down into “dr…

Cited by 51SourcePDFScholar