activity
20172023
most citedTowards Autonomous UAV Landing Based on Infrared Beacons and Particle Filtering

8 citations · 26 across the 16 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.RO2019

Prioritized Multi-agent Path Finding for Differential Drive Robots

Konstantin Yakovlev, Anton Andreychuk, Vitaly Vorobyev

Methods for centralized planning of the collision-free trajectories for a fleet of mobile robots typically solve the discretized version of the problem and rely on numerous simplif…

cs.LG2019

GAN Path Finder: Preliminary results

Natalia Soboleva, Konstantin Yakovlev

2D path planning in static environment is a well-known problem and one of the common ways to solve it is to 1) represent the environment as a grid and 2) perform a heuristic search…

cs.CV2019

Real-time Vision-based Depth Reconstruction with NVidia Jetson

Andrey Bokovoy, Kirill Muravyev, Konstantin Yakovlev

Vision-based depth reconstruction is a challenging problem extensively studied in computer vision but still lacking universal solution. Reconstructing depth from single image is pa…

cs.RO2019

Combining Safe Interval Path Planning and Constrained Path Following Control: Preliminary Results

Konstantin Yakovlev, Anton Andreychuk, Juliya Belinskaya +1

We study the navigation problem for a robot moving amidst static and dynamic obstacles and rely on a hierarchical approach to solve it. First, the reference trajectory is planned b…

cs.AI2019

Multi-Agent Pathfinding with Continuous Time

Anton Andreychuk, Konstantin Yakovlev, Dor Atzmon +1

Multi-Agent Pathfinding (MAPF) is the problem of finding paths for multiple agents such that every agent reaches its goal and the agents do not collide. Most prior work on MAPF was…