activity
20232026
most citedA Robust Localization Solution for an Uncrewed Ground Vehicle in Unstructured Outdoor GNSS-Denied Environments

1 citations · 2 across the 12 of their papers we have counts for

collaborators

13 papers

cs.RO2026

VCTP: Vehicle-Conditioned Terrain Planning for Off-Road Navigation

Akshay Naik, Ramavarapu S. Sreenivas, Dustin Nottage +1

A vehicle's heading affects both the surfaces beneath its tires and its pitch and roll. We present Vehicle-Conditioned Terrain Planning (VCTP), which retains these relationships by…

cs.RO2026

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling

Akshay Naik, Ramavarapu S. Sreenivas, Dustin Nottage +1

Underwater dead reckoning estimates vehicle position when vision is unavailable and external positioning cannot be assumed. A single set of filter parameters can work well in many…

cs.LG2026

LDLT L-Lipschitz Network Weight Parameterization Initialization

Marius F. R. Juston, Ramavarapu S. Sreenivas, Dustin Nottage +1

We analyze initialization dynamics for LDLT-based -Lipschitz layers by deriving the exact marginal output variance when the underlying parameter matrix $W_0\in \mathbb…

cs.LG2025

LDLT -Lipschitz Network: Generalized Deep End-To-End Lipschitz Network Construction

Marius F. R. Juston, Ramavarapu S. Sreenivas, Dustin Nottage +1

Deep residual networks (ResNets) have demonstrated outstanding success in computer vision tasks, attributed to their ability to maintain gradient flow through deep architectures. S…

eess.SY2025

Safety Monitor for Off-Road Planning with Uncertainty Bounded Bekker Costs

Akshay Naik, Ramavarapu S. Sreenivas, William R. Norris +3

Reliable off-road autonomy requires operational constraints so that behavior stays predictable and safe when soil strength is uncertain. This paper presents a runtime assurance saf…

cs.RO2025

Hybrid Terrain-Aware Path Planning: Integrating VD-RRT* Exploration and VD-D* Lite Repair

Akshay Naik, William R. Norris, Dustin Nottage +1

Autonomous ground vehicles operating off-road must plan curvature-feasible paths while accounting for spatially varying soil strength and slope hazards in real time. We present a c…

cs.RO2025

In-Situ Soil-Property Estimation and Bayesian Mapping with a Simulated Compact Track Loader

W. Jacob Wagner, Ahmet Soylemezoglu, Katherine Driggs-Campbell

Existing earthmoving autonomy is largely confined to highly controlled and well-characterized environments due to the complexity of vehicle-terrain interaction dynamics and the par…

eess.SY2025

APECS: Adaptive Personalized Control System Architecture

Marius F. R. Juston, Alex Gisi, William R. Norris +2

This paper presents the Adaptive Personalized Control System (APECS) architecture, a novel framework for human-in-the-loop control. An architecture is developed which defines appro…

cs.LG2025

1-Lipschitz Network Initialization for Certifiably Robust Classification Applications: A Decay Problem

Marius F. R. Juston, Ramavarapu S. Sreenivas, William R. Norris +2

This paper discusses the weight parametrization of two standard 1-Lipschitz network architectures, the Almost-Orthogonal-Layers (AOL) and the SDP-based Lipschitz Layers (SLL). It e…

cs.LG2025

L-Lipschitz Gershgorin ResNet Network

Marius F. R. Juston, William R. Norris, Dustin Nottage +1

Deep residual networks (ResNets) have demonstrated outstanding success in computer vision tasks, attributed to their ability to maintain gradient flow through deep architectures. S…

cs.RO2024

Cooperative Modular Manipulation with Numerous Cable-Driven Robots for Assistive Construction and Gap Crossing

Kevin Murphy, Joao C. V. Soares, Justin K. Yim +3

Soldiers in the field often need to cross negative obstacles, such as rivers or canyons, to reach goals or safety. Military gap crossing involves on-site temporary bridges construc…

cs.RO2023★ 1 cited

In Situ Soil Property Estimation for Autonomous Earthmoving Using Physics-Infused Neural Networks

W. Jacob Wagner, Ahmet Soylemezoglu, Dustin Nottage +1

A novel, learning-based method for in situ estimation of soil properties using a physics-infused neural network (PINN) is presented. The network is trained to produce estimates of…

cs.RO2023★ 1 cited

A Robust Localization Solution for an Uncrewed Ground Vehicle in Unstructured Outdoor GNSS-Denied Environments

W. Jacob Wagner, Isaac Blankenau, Maribel DeLaTorre +2

This work addresses the challenge of developing a localization system for an uncrewed ground vehicle (UGV) operating autonomously in unstructured outdoor Global Navigation Satellit…