Web-Gewu: A Browser-Based Interactive Playground for Robot Reinforcement Learning

• URL: http://arxiv.org/abs/2604.17050v1
• Date: Sat, 18 Apr 2026 16:08:48 GMT
• Title: Web-Gewu: A Browser-Based Interactive Playground for Robot Reinforcement Learning
• Abstract summary: Web-Gewu is an interactive robotics education platform built on a cloud-edge-client collaborative architecture.<n>The system offloads all physics simulation and reinforcement learning training to the edge node.<n>Web-Gewu provides a highly scalable, out-of-the-box, and barrier-free teaching infrastructure for embodied intelligence.
• Score: 3.337549990679896
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: With the rapid development of embodied intelligence, robotics education faces a dual challenge: high computational barriers and cumbersome environment configuration. Existing centralized cloud simulation solutions incur substantial GPU and bandwidth costs that preclude large-scale deployment, while pure local computing is severely constrained by learners' hardware limitations. To address these issues, we propose \href{http://47.76.242.88:8080/receiver/index.html}{Web-Gewu}, an interactive robotics education platform built on a WebRTC cloud-edge-client collaborative architecture. The system offloads all physics simulation and reinforcement learning (RL) training to the edge node, while the cloud server acts exclusively as a lightweight signaling relay, enabling extremely low-cost browser-based peer-to-peer (P2P) real-time streaming. Learners can interact with multi-form robots at low end-to-end latency directly in a web browser without any local installation, and simultaneously observe real-time visualization of multi-dimensional monitoring data, including reinforcement learning reward curves. Combined with a predefined robust command communication protocol, Web-Gewu provides a highly scalable, out-of-the-box, and barrier-free teaching infrastructure for embodied intelligence, significantly lowering the barrier to entry for cutting-edge robotics technology.

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