activity
20182026
most citedOnline terrain estimation for autonomous vehicles on deformable terrains

57 citations · 65 across the 16 of their papers we have counts for

collaborators

16 papers

cs.RO2026

High-Speed, All-Terrain Autonomy: Ensuring Safety at the Limits of Mobility

James R. Baxter, Bogdan I. Epureanu, Paramsothy Jayakumar +1

A novel local trajectory planner, capable of controlling an autonomous off-road vehicle on rugged terrain at high-speed is presented. Autonomous vehicles are currently unable to sa…

cs.CE2025

Variational quantum and neural quantum states algorithms for the linear complementarity problem

Saibal De, Oliver Knitter, Rohan Kodati +3

Variational quantum algorithms (VQAs) are promising hybrid quantum-classical methods designed to leverage the computational advantages of quantum computing while mitigating the lim…

quant-ph2024

An application of continuous-variable gate synthesis to quantum simulation of classical dynamics

Sam Cochran, James Stokes, Paramsothy Jayakumar +1

Although quantum computing holds promise to accelerate a wide range of computational tasks, the quantum simulation of quantum dynamics as originally envisaged by Feynman remains th…

cs.RO2023

ConvBKI: Real-Time Probabilistic Semantic Mapping Network with Quantifiable Uncertainty

Joey Wilson, Yuewei Fu, Joshua Friesen +5

In this paper, we develop a modular neural network for real-time {\color{black}(> 10 Hz)} semantic mapping in uncertain environments, which explicitly updates per-voxel probabilist…

math.NA2022

Tensor-Train Compression of Discrete Element Method Simulation Data

Saibal De, Eduardo Corona, Paramsothy Jayakumar +1

We propose a framework for discrete scientific data compression based on the tensor-train (TT) decomposition. Our approach is tailored to handle unstructured output data from discr…

cs.RO2022★ 1 cited

Convolutional Bayesian Kernel Inference for 3D Semantic Mapping

Joey Wilson, Yuewei Fu, Arthur Zhang +5

Robotic perception is currently at a cross-roads between modern methods, which operate in an efficient latent space, and classical methods, which are mathematically founded and pro…