3 papers
cs.RO2025
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…
cs.RO2025
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…
cs.RO2025
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…