activity
20162026
most citedVoxblox: Incremental 3D Euclidean Signed Distance Fields for On-Board MAV Planning

652 citations · 1.1k across the 17 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.RO2023

To Fuse or Not to Fuse: Measuring Consistency in Multi-Sensor Fusion for Aerial Robots

Christian Lanegger, Helen Oleynikova, Michael Pantic +2

Aerial vehicles are no longer limited to flying in open space: recent work has focused on aerial manipulation and up-close inspection. Such applications place stringent requirement…

cs.RO2023

Learning to Fly Omnidirectional Micro Aerial Vehicles with an End-To-End Control Network

Eugenio Cuniato, Olov Andersson, Helen Oleynikova +2

Overactuated tilt-rotor platforms offer many advantages over traditional fixed-arm drones, allowing the decoupling of the applied force from the attitude of the robot. This expands…

cs.RO2023★ 2 cited

cuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation

Balakumar Sundaralingam, Siva Kumar Sastry Hari, Adam Fishman +9

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 t…

cs.RO2023★ 1 cited

nvblox: GPU-Accelerated Incremental Signed Distance Field Mapping

Alexander Millane, Helen Oleynikova, Emilie Wirbel +4

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, o…

cs.RO2023★ 48 cited

COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry

Patrick Pfreundschuh, Helen Oleynikova, Cesar Cadena +2

We present COIN-LIO, a LiDAR Inertial Odometry pipeline that tightly couples information from LiDAR intensity with geometry-based point cloud registration. The focus of our work is…