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
- Team Leadership: Lead and mentor a team, managing tasks and deliverables.
- Machine Learning Integration: Apply machine learning to improve navigation and mapping systems.
- Cross-functional Collaboration: Work with hardware, software, and control teams to integrate navigation solutions.
- Algorithm Development: Develop and optimize real-time localization and mapping algorithms.
- Sensor Fusion: Combine data from multiple sensors to enhance accuracy and reliability.
- Performance Optimization: Optimize algorithms for efficiency and real-time performance on embedded platforms
- Evaluation and Validation: Test and validate navigation systems in both simulated and real-world environments.
- Research and Innovation: Stay updated on advancements in machine learning and robotic navigation, contributing to research and publications.
- Documentation: Document processes and share knowledge to promote continuous improvement.
Expertise
- Proven experience as a lead engineer or similar role, focusing on navigation and path planning for robotics or autonomous systems.
- Proficiency in programming languages such as C++, Python, and ROS (Robot Operating System).
- Strong understanding of SLAM (Simultaneous Localization and Mapping), path planning algorithms, and sensor fusion techniques.