25 citations · 25 across the 7 of their papers we have counts for
7 papers
Adaptive MPC-based quadrupedal robot control under periodic disturbances
Elizaveta Pestova, Ilya Osokin, Danil Belov +1
Recent advancements in adaptive control for reference trajectory tracking enable quadrupedal robots to perform locomotion tasks under challenging conditions. There are methods enab…
Quadrupedal Robot Skateboard Mounting via Reverse Curriculum Learning
Danil Belov, Artem Erkhov, Elizaveta Pestova +3
The aim of this work is to enable quadrupedal robots to mount skateboards using Reverse Curriculum Reinforcement Learning. Although prior work has demonstrated skateboarding for qu…
Optimizing energy consumption for legged robot by adapting equilibrium position and stiffness of a parallel torsion spring
Danil Belov, Artem Erkhov, Farit Khabibullin +5
This paper is dedicated to the development of a novel adaptive torsion spring mechanism for optimizing energy consumption in legged robots. By adjusting the equilibrium position an…
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…
A note on stabilizing reinforcement learning
Pavel Osinenko, Grigory Yaremenko, Ilya Osokin
Reinforcement learning is a general methodology of adaptive optimal control that has attracted much attention in various fields ranging from video game industry to robot manipulato…
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…
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…