most citedAny-Angle Pathfinding for Multiple Agents Based on SIPP Algorithm

8 citations · 16 across the 4 of their papers we have counts for

collaborators

5 papers

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.AI2017

Applying MAPP Algorithm for Cooperative Path Finding in Urban Environments

Anton Andreychuk, Konstantin Yakovlev

The paper considers the problem of planning a set of non-conflict trajectories for the coalition of intelligent agents (mobile robots). Two divergent approaches, e.g. centralized a…

cs.AI20178 cited

Any-Angle Pathfinding for Multiple Agents Based on SIPP Algorithm

Konstantin Yakovlev, Anton Andreychuk

The problem of finding conflict-free trajectories for multiple agents of identical circular shape, operating in shared 2D workspace, is addressed in the paper and decoupled, e.g.,…

cs.RO20178 cited

Towards Autonomous UAV Landing Based on Infrared Beacons and Particle Filtering

Vsevolod Khithov, Alexander Petrov, Igor Tishchenko +1

Autonomous fixed-wing UAV landing based on differential GPS is now a mainstream providing reliable and precise landing. But the task still remains challenging when GPS availability…