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Alexander Millane

7 accepted papers

2024

nvblox: GPU-Accelerated Incremental Signed Distance Field Mapping

ICRA 2024poster

Dense, volumetric maps are essential to enable robot navigation and interaction with the environment. To achieve low latency, dense maps are typically computed onboard the robot, often on computationally constrained hardware. Previous works leave a gap between CPU-based systems for robotic mapping w…

Cited by 28SourceScholar
2023

CuRobo: Parallelized Collision-Free Robot Motion Generation

ICRA 2023poster

This paper explores the problem of collision-free motion generation for manipulators by formulating it as a global motion optimization problem. We develop a parallel optimization technique to solve this problem and demonstrate its effectiveness on massively parallel GPUs. We show that combining simp…

Cited by 74SourceScholar
2021

Voxplan: A 3D Global Planner using Signed Distance Function Submaps

ICRA 2021poster

The ability to safely navigate through complex and cluttered environments is required for a wide range of robotics applications. This paper introduces a framework to compute safe global paths in maps represented as collections of 3D Signed Distance Function (SDF) submaps. Such maps are able to maint…

Cited by 3SourceScholar
2020

Voxgraph: Globally Consistent, Volumetric Mapping Using Signed Distance Function Submaps

RA-L 2020

Globally consistent dense maps are a key requirement for long-term robot navigation in complex environments. While previous works have addressed the challenges of dense mapping and global consistency, most require more computational resources than may be available on-board small robots. We propose a

Cited by 109SourcecodeScholar
2019

Free-Space Features: Global Localization in 2D Laser SLAM Using Distance Function Maps

IROS 2019poster

In many applications, maintaining a consistent map of the environment is key to enabling robotic platforms to perform higher-level decision making. Detection of already visited locations is one of the primary ways in which map consistency is maintained, especially in situations where external positi…

Cited by 17SourceScholar
2019

Obstacle-aware Adaptive Informative Path Planning for UAV-based Target Search

ICRA 2019poster

Target search with unmanned aerial vehicles (UAVs) is relevant problem to many scenarios, e.g., search and rescue (SaR). However, a key challenge is planning paths for maximal search efficiency given flight time constraints. To address this, we propose the Obstacle-aware Adaptive Informative Path Pl…

Cited by 74SourceScholar
2018

C-blox: A Scalable and Consistent TSDF-based Dense Mapping Approach

IROS 2018poster

In many applications, maintaining a consistent dense map of the environment is key to enabling robotic platforms to perform higher level decision making. Several works have addressed the challenge of creating precise dense 3D maps from visual sensors providing depth information. However, during oper…

Cited by 68SourcecodeScholar