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Capstone Project: Autonomous Humanoid for Voice-Commanded Tasks

Welcome to the Capstone Project! This is the culmination of your journey through the Physical AI & Humanoid Robotics Course. In this phase, you will apply all the knowledge and skills gained from Modules 1, 2, 3, and 4 to build a fully autonomous humanoid robot capable of understanding voice commands and executing complex tasks in a simulated environment.

1. Project Goal

The primary goal of the Capstone Project is to design, implement, and demonstrate an autonomous humanoid robot that can:

  1. Receive high-level voice commands from a human operator.
  2. Interpret these commands using natural language understanding.
  3. Plan and navigate through a simulated environment.
  4. Identify and locate specific objects.
  5. Perform manipulation tasks (e.g., picking and placing objects).

The project narrative is: "Autonomous Humanoid receiving voice → planning → navigation → object identification → manipulation"

2. Core Pipelines (Integration of Modules)

The Capstone Project requires the seamless integration of several key pipelines, each building upon the concepts learned in previous modules:

a) Voice Input Pipeline (Whisper -> LLM -> ROS 2 Actions)

This pipeline handles the human-robot interface, converting spoken commands into structured robotic instructions.

  • Voice-to-Text: Utilize a Speech-to-Text (STT) system (e.g., OpenAI Whisper, as explored in Module 4) to transcribe spoken language into text.
  • Language Understanding: Employ a Large Language Model (LLM, as explored in Module 4) to interpret the text, extract intent, and identify relevant entities (objects, locations).
  • ROS 2 Action Generation: Translate the LLM's output into a sequence of discrete ROS 2 actions or service calls that the robot can execute.

b) Cognitive Planning Pipeline

This pipeline is responsible for breaking down high-level commands into a series of actionable sub-tasks and ensuring their logical execution.

  • Task Decomposition: Transform an abstract command (e.g., "get me the cup") into a sequence of more specific actions (e.g., "navigate to table," "find cup," "grasp cup," "return cup").
  • State Management: Keep track of the robot's current state, the environment's state, and the progress of the overall task.
  • Decision Making: Make decisions at various points in the plan, such as re-planning if an obstacle is encountered or if an object is not found.

c) Navigation Pipeline (Isaac Sim + Nav2)

This pipeline enables the humanoid to move autonomously and safely within the simulated environment.

  • Localization & Mapping: Use techniques like Visual SLAM (Simultaneous Localization and Mapping), potentially from Isaac Sim's capabilities or external ROS 2 packages, to build a map of the environment and determine the robot's position within it.
  • Path Planning: Generate global and local paths to reach target locations while avoiding obstacles. ROS 2 Nav2 stack is a prime candidate for this.
  • Motion Control: Execute the planned paths by generating appropriate velocity commands for the robot's base.
  • Simulation Environment: All navigation will occur within Isaac Sim, leveraging its physics and rendering capabilities.

d) Object Identification and Manipulation Pipeline (URDF -> Controllers)

This pipeline focuses on the robot's ability to interact with objects in its environment.

  • Object Perception: Utilize vision systems (e.g., from Isaac ROS or other sources, as explored in Module 3 and 4) to detect, identify, and estimate the 3D pose of target objects.
  • Reachability Analysis: Determine if the robot's arm can reach the target object from its current position.
  • Grasping Strategy: Plan a stable grasp for the object, considering its geometry and the robot's gripper capabilities.
  • Manipulation Execution: Use the robot's URDF model and joint controllers to execute the planned reach and grasp actions.

3. Capstone Project Requirements

  • The robot MUST respond to at least three distinct high-level voice commands (e.g., "Pick and Place", "Explore Room", "Follow Me").
  • The robot MUST be able to navigate a predefined simulated environment in Isaac Sim to reach target locations.
  • The robot MUST accurately identify and localize at least two distinct objects.
  • The robot MUST successfully perform pick-and-place manipulation for at least one object.
  • All components MUST be integrated using ROS 2 communication mechanisms.
  • The entire system MUST run robustly in Isaac Sim.

4. Deliverables

  • A fully integrated ROS 2 system running in Isaac Sim.
  • Demonstration of the humanoid executing voice-commanded tasks.
  • Codebase for all pipelines.
  • Detailed docs/capstone/overview.mdx and docs/capstone/evaluation.mdx.

Conclusion

The Capstone Project brings together all the complex facets of Physical AI and Humanoid Robotics. Successfully completing this project will demonstrate a comprehensive understanding of ROS 2, advanced simulation, AI perception, natural language processing, and robot control. Good luck!