Mikhail Kurenkov — accepted AI-conference papers

2022

NFOMP: Neural Field for Optimal Motion Planner of Differential Drive Robots With Nonholonomic Constraints

Mikhail Kurenkov, Andrei Potapov, Alena Savinykh, Evgeny Yudin, Evgeny Kruzhkov, Pavel A. Karpyshev +1

RA-L 2022

Optimal motion planning is one of the most critical problems in mobile robotics. On the one hand, classical sampling-based methods propose asymptotically optimal solutions to this problem. However, these planners cannot achieve smooth and short trajectories in reasonable calculation time. On the oth

Cited by 26 Source ↗Scholar ↗

2020

WareVision: CNN Barcode Detection-Based UAV Trajectory Optimization for Autonomous Warehouse Stocktaking

Ivan Kalinov, Alexander Petrovsky, Valeriy Ilin, Egor Pristanskiy, Mikhail Kurenkov, Vladimir Ramzhaev +2

RA-L 2020

This letter presents a heterogeneous Unmanned Aerial Vehicle (UAV)-based robotic system for real-time barcode detection and scanning using Convolutional Neural Networks (CNN). The proposed approach improves the UAV's localization using scanned barcodes as landmarks in a real warehouse with low-light

Cited by 72 Source ↗Scholar ↗