Yusuf Badriawan
Robotics Software Engineer | Reinforcement Learning | LLM | Simulation
- 5.00
- Rating
- 2
- Followers
Key Achievements
✅ Seamless Real-World Navigation: The robot now autonomously navigates dynamic spaces, avoiding obstacles and reaching destinations with precision—powered by ROS 2 Nav2 and our tuned path-planning algorithms.
✅ End-to-End AI Integration: Combining ChatGPT-4o, RAG, and Whisper, the robot answers contextual queries (e.g., “Where’s the lobby?”) and executes navigation tasks in one fluid workflow.
Demo Highlights
1️⃣ Natural Language Interaction: Asked the robot for department info, and it responded instantly with accurate, AI-retrieved details.
2️⃣ Voice-Guided Navigation: Commanded, “Take me to Teleconference Room ”—the robot mapped the optimal path, dodged obstacles, and arrived autonomously.
3️⃣ Intuitive UI Feedback: The onboard interface displayed interactive prompts for users.
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Autonomous Excavator using YOLO and Reinforcement learning
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Voice-Guided Autonomous Robot Navigation with AI Integration
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DQN Reinforcement Learning for Robot Navigation
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