activity
20202023
most citedTiny-YOLO object detection supplemented with geometrical data

25 citations · 25 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2023

Benchmarking the Full-Order Model Optimization Based Imitation in the Humanoid Robot Reinforcement Learning Walk

Ekaterina Chaikovskaya, Inna Minashina, Vladimir Litvinenko +4

When a gait of a bipedal robot is developed using deep reinforcement learning, reference trajectories may or may not be used. Each approach has its advantages and disadvantages, an…

cs.RO2021

RoboKit-MV: an Educational Initiative

Azer Babaev, Ilya Osokin, Ilya Ryakin +5

In this paper, we present a robot model and code base for affordable education in the field of humanoid robotics. We give an overview of the software and hardware of a robot that w…

cs.RO2021

Starkit: RoboCup Humanoid KidSize 2021 Worldwide Champion Team Paper

Egor Davydenko, Ivan Khokhlov, Vladimir Litvinenko +3

This article is devoted to the features that were under development between RoboCup 2019 Sydney and RoboCup 2021 Worldwide. These features include vision-related matters, such as d…

cs.RO2020

Planning to Score a Goal in Robotic Football with Heuristic Search

Ivan Khokhlov, Vladimir Litvinenko, Ilya Ryakin +1

This paper considers a problem of planning an attack in robotic football (RoboCup). The problem is reduced to finding a trajectory of the ball from its current position to the oppo…

cs.CV2020★ 25 cited

Tiny-YOLO object detection supplemented with geometrical data

Ivan Khokhlov, Egor Davydenko, Ilya Osokin +4

We propose a method of improving detection precision (mAP) with the help of the prior knowledge about the scene geometry: we assume the scene to be a plane with objects placed on i…