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Robotics & AI

FABY – The Telepresence Robot

Autonomous Telepresence for Remote Collaboration in Education

Autonomous

Navigation

Bidirectional

Communication

<200ms

Latency

24/7

Availability

Project Overview

  • A telepresence robot prototype enabling bidirectional face-to-face communication, allowing faculty to remotely guide students in lab experiments from anywhere in the world.
  • Features autonomous navigation, path planning, and simultaneous localization for indoor environments with dynamic obstacles.
  • The human-robot interface answers general questions about its purpose, ongoing research projects, and lab information.
  • Future roadmap includes campus-wide navigation to assist students, visitors, and industry professionals.

Challenges

Indoor Navigation

Navigating dynamically changing indoor environments with obstacles like people and equipment required robust SLAM and path planning.

Real-Time Communication

Maintaining low-latency, high-quality bidirectional video and audio for a seamless face-to-face experience.

Autonomous Obstacle Avoidance

The robot needed to detect and avoid obstacles in real-time while following planned paths in crowded lab spaces.

Human-Robot Interaction

Designing an intuitive interface for both remote faculty and on-site students to interact naturally with the robot.

Autonomous Navigation System

  • SLAM (Simultaneous Localization and Mapping) for real-time indoor mapping and position tracking.
  • Path planning algorithms for efficient route calculation in predefined environments.
  • Dynamic obstacle avoidance using LiDAR and depth sensors for safe navigation.
  • Predefined environment mapping with adaptive re-routing for layout changes.

Telepresence Communication

  • Bidirectional video and audio streaming via an integrated display and camera system.
  • Low-latency WebRTC-based communication for real-time face-to-face interaction.
  • Remote control interface allowing faculty to navigate the robot to specific lab stations.
  • Built-in microphone array and speaker for clear audio in noisy lab environments.

Human-Robot Interface

  • Conversational AI for answering general queries about lab projects, schedules, and robot purpose.
  • Touch-screen interface on the robot for on-site student interaction.
  • Web-based remote dashboard for faculty to control navigation and communication.
  • Gesture and voice command support for hands-free operation.

Future Vision

  • Campus-wide navigation to assist students, visitors, and industry professionals beyond the lab.
  • Software and hardware abstractions for modular deployment across different building layouts.
  • Integration with university systems for automated lab tour scheduling and visitor guidance.
  • Multi-robot fleet management for simultaneous telepresence sessions across departments.

Use Cases

  • Remote Faculty Lab Assistance: Faculty guide students through experiments from anywhere in the world.
  • Lab Tours & Demonstrations: Automated tours for visitors and prospective students.
  • Research Collaboration: Remote researchers participate in on-site experiments via the robot.
  • Campus Navigation: Future expansion to guide people across the campus.

Technology Stack

ROSSLAMLiDARWebRTCPythonComputer VisionDepth SensorsEmbedded Systems

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