01
Year 1
Research, Design and Motion Data Collection
In the first year, Triton Droids will focus on both foundational research and modular development in parallel. Specialized teams will work simultaneously on mechanical design, software architecture, AI models, and power management. Initial prototypes of key components such as limbs, joints, and power systems will be 3D printed and tested early. A strong focus will be placed on power optimization and the integration of modular components, ensuring compatibility from the outset. Alongside hardware development, the team will establish the software architecture using ROS and begin collecting data for AI models to power the robot’s decision-making abilities.
02
Year 2
Limb and Torso Prototyping, ROS stack
In Year 2, the focus shifts to assembling an early working prototype by integrating limbs, sensors, and AI systems. Multiple development tracks will continue in parallel, with teams working on improving limb mechanics, real-time sensor data processing, and refining control algorithms. By mid-year, the robot will have basic functionality such as walking, object manipulation, and simple interactions. Human-robot interaction tests will be conducted to ensure the design aligns with user needs. The power system and AI models will also be stress-tested to ensure the robot can handle extended periods of activity, with regular feedback loops from testing for continuous improvement.
03
Year 3
Advanced Development and System Refinement
Year 3 will focus on enhancing both the hardware and software to ensure the robot can perform more advanced tasks with precision. The mechanical design will be optimized for durability and efficiency, with improvements to joint flexibility, weight distribution, and power efficiency. AI models will be refined to handle complex tasks such as multi-object manipulation, path planning, and dynamic obstacle avoidance. This year will also introduce the integration of facial recognition, natural language processing (NLP) and LLM integration for better human-robot interaction. Extensive field testing will be conducted in diverse environments, such as uneven surfaces and cluttered spaces, to ensure the robot’s stability and adaptability. The year will end with a near-complete prototype that can perform tasks like carrying loads, interacting autonomously with users, and navigating real-world scenarios.
04
Year 4
Final Prototype and Deployment
In Year 4, the focus will be on finalizing the robot’s design and preparing it for public demonstration. The final prototype will be built based on the refined designs from Year 3, with a focus on seamless integration of all mechanical, electrical, and AI systems. Rigorous testing under a range of real-world conditions—such as weather changes, interaction with different objects, and long-duration operations—will be conducted to ensure reliability and robustness. The AI will be further optimized for real-time decision-making, and the robot will be able to execute complex tasks such as responding to voice commands, object sorting, and performing basic household chores. By the end of the year, the robot will be showcased in a public demonstration, highlighting its capabilities in both personal and industrial settings. All technical documentation will be completed, and commercialization strategies will be explored, including partnerships with industry stakeholders.
