5 citations · 8 across the 8 of their papers we have counts for
8 papers · 1 filter
Prometheus: Universal, Open-Source Mocap-Based Teleoperation System with Force Feedback for Dataset Collection in Robot Learning
S. Satsevich, A. Bazhenov, S. Egorov +4
This paper presents a novel teleoperation system with force feedback, utilizing consumer-grade HTC Vive Trackers 2.0. The system integrates a custom-built controller, a UR3 robotic…
Echo: An Open-Source, Low-Cost Teleoperation System with Force Feedback for Dataset Collection in Robot Learning
Artem Bazhenov, Sergei Satsevich, Sergei Egorov +2
In this article, we propose Echo, a novel joint-matching teleoperation system designed to enhance the collection of datasets for manual and bimanual tasks. Our system is specifical…
ViewVR: Visual Feedback Modes to Achieve Quality of VR-based Telemanipulation
A. Erkhov, A. Bazhenov, S. Satsevich +6
The paper focuses on an immersive teleoperation system that enhances operator's ability to actively perceive the robot's surroundings. A consumer-grade HTC Vive VR system was used…
MissionGPT: Mission Planner for Mobile Robot based on Robotics Transformer Model
Vladimir Berman, Artem Bazhenov, Dzmitry Tsetserukou
This paper presents a novel approach to building mission planners based on neural networks with Transformer architecture and Large Language Models (LLMs). This approach demonstrate…
HyperSurf: Quadruped Robot Leg Capable of Surface Recognition with GRU and Real-to-Sim Transferring
Sergei Satsevich, Yaroslav Savotin, Danil Belov +7
This paper introduces a system of data collection acceleration and real-to-sim transferring for surface recognition on a quadruped robot. The system features a mechanical single-le…
DogSurf: Quadruped Robot Capable of GRU-based Surface Recognition for Blind Person Navigation
Artem Bazhenov, Vladimir Berman, Sergei Satsevich +4
This paper introduces DogSurf - a newapproach of using quadruped robots to help visually impaired people navigate in real world. The presented method allows the quadruped robot to…
CognitiveDog: Large Multimodal Model Based System to Translate Vision and Language into Action of Quadruped Robot
Artem Lykov, Mikhail Litvinov, Mikhail Konenkov +6
This paper introduces CognitiveDog, a pioneering development of quadruped robot with Large Multi-modal Model (LMM) that is capable of not only communicating with humans verbally bu…
LLM-MARS: Large Language Model for Behavior Tree Generation and NLP-enhanced Dialogue in Multi-Agent Robot Systems
Artem Lykov, Maria Dronova, Nikolay Naglov +6
This paper introduces LLM-MARS, first technology that utilizes a Large Language Model based Artificial Intelligence for Multi-Agent Robot Systems. LLM-MARS enables dynamic dialogue…