While reinforcement learning algorithms have had great success in the fi...
In this work we study a well-known and challenging problem of Multi-agen...
Safe Interval Path Planning (SIPP) is a powerful algorithm for solving
s...
This paper addresses the kinodynamic motion planning for non-holonomic r...
Heuristic search algorithms, e.g. A*, are the commonly used tools for
pa...
Simultaneous localization and mapping (SLAM) is one of the key component...
Conflict-Based Search (CBS) is a widely used algorithm for solving
multi...
Safe navigation in uneven terrains is an important problem in robotic
re...
Multi-agent pathfinding (MAPF) is a challenging problem which is hard to...
We introduce POGEMA (https://github.com/AIRI-Institute/pogema) a sandbox...
Exploration is an important step in autonomous navigation of robotic sys...
Kinodynamic motion planning for non-holomonic mobile robots is a challen...
In this paper, we consider the problem of multi-agent navigation in part...
Multi-Agent Path Finding (MAPF) is a long-standing problem in Robotics a...
Avoiding collisions is the core problem in multi-agent navigation. In
de...
Running numerous experiments in simulation is a necessary step before
de...
Path finding is a well-studied problem in AI, which is often framed as g...
Conflict-Based Search (CBS) is a powerful algorithmic framework for opti...
Simultaneous localization and mapping, especially the one relying solely...
We study the problem of multi-agent navigation in static environments wh...
This paper considers a problem of planning an attack in robotic football...
Safe-interval path planning (SIPP) is a powerful algorithm for finding a...
Methods for centralized planning of the collision-free trajectories for ...
2D path planning in static environment is a well-known problem and one o...
Vision-based depth reconstruction is a challenging problem extensively
s...
We study the navigation problem for a robot moving amidst static and dyn...
MAPF is the problem of finding paths for multiple agents such that every...
Problem of finding 2D paths of special shape, e.g. paths comprised of li...
We study the problem of planning collision-free paths for a group of
hom...
The problem of planning a set of paths for the coalition of robots (agen...
The monocular vision-based simultaneous localization and mapping (vSLAM)...
We introduce and empirically evaluate two techniques aimed at enhancing ...
The paper considers the problem of planning a set of non-conflict
trajec...
Vision-based simultaneous localization and mapping (vSLAM) is a
well-est...
Behavior planning is known to be one of the basic cognitive functions, w...
In this paper we outline the approach of solving special type of navigat...
Path planning is typically considered in Artificial Intelligence as a gr...
Square grids are commonly used in robotics and game development as spati...