Our mission
At Humanoid we strive to create the world's leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.
Vision
In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries.
The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization.
Solution
As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed.
By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.
Responsibilities
- Implement integration related to Robot Operating System (ROS), simulation environments, and Machine Learning (ML) algorithms.
- Coordinate with software engineers, robotics specialists, ML engineers, and simulation experts for seamless integration of software and ML components.
- Oversee development and implementation of control algorithms and techniques.
- Collaborate with hardware and ML teams to ensure compatibility and functionality of components with the control system.
- Ensure adherence to best practices and standards in software development, integration, and ML model deployment.
- Provide technical guidance, mentorship, and support to team members.
- Collaborate with other teams to understand and address cross-functional integration requirements.
- Develop virtual environments for testing and training the robot, including simulated ML-driven scenarios.
- Stay updated with the latest advancements in robotics, ROS, simulation technologies, and Machine Learning methodologies.
Expertise
- Proficiency in Robot Operating System (ROS) and simulation environments.
- Strong background in robotics, control systems, and software development.
- Experience in leading integration efforts for complex robotic systems.