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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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