8 citations · 26 across the 16 of their papers we have counts for
8 papers · 1 filter
Enhancing exploration algorithms for navigation with visual SLAM
Kirill Muravyev, Andrey Bokovoy, Konstantin Yakovlev
Exploration is an important step in autonomous navigation of robotic systems. In this paper we introduce a series of enhancements for exploration algorithms in order to use them wi…
Augmenting GRIPS with Heuristic Sampling for Planning Feasible Trajectories of a Car-Like Robot
Brian Angulo, Konstantin Yakovlev, Ivan Radionov
Kinodynamic motion planning for non-holomonic mobile robots is a challenging problem that is lacking a universal solution. One of the computationally efficient ways to solve it is…
Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments
Vasilii Davydov, Alexey Skrynnik, Konstantin Yakovlev +1
In this paper, we consider the problem of multi-agent navigation in partially observable grid environments. This problem is challenging for centralized planning approaches as they,…
Prioritized SIPP for Multi-Agent Path Finding With Kinematic Constraints
Zain Alabedeen Ali, Konstantin Yakovlev
Multi-Agent Path Finding (MAPF) is a long-standing problem in Robotics and Artificial Intelligence in which one needs to find a set of collision-free paths for a group of mobile ag…
Distributed Multi-agent Navigation Based on Reciprocal Collision Avoidance and Locally Confined Multi-agent Path Finding
Stepan Dergachev, Konstantin Yakovlev
Avoiding collisions is the core problem in multi-agent navigation. In decentralized settings, when agents have limited communication and sensory capabilities, collisions are typica…
MAOMaps: A Photo-Realistic Benchmark For vSLAM and Map Merging Quality Assessment
Andrey Bokovoy, Kirill Muravyev, Konstantin Yakovlev
Running numerous experiments in simulation is a necessary step before deploying a control system on a real robot. In this paper we introduce a novel benchmark that is aimed at quan…