Robotics
Autonomous systems designed to enhance human capabilities and solve challenging physical problems.
Our Approach to Robotics
DAIDALUS is developing robotic systems that extend human capabilities while taking on tasks too dangerous or demanding for people. We envision adaptable platforms that can work alongside humans in manufacturing, construction, and hazardous environments.
Our robotics focus creates systems with the versatility to build other technologies, the intelligence to learn from experience, and the reliability to operate in challenging environments.
Core Capabilities
- Advanced manipulation and locomotion
- Environmental perception and adaptation
- Human-robot collaboration frameworks
- Task learning and optimization
- Multi-robot coordination
- Hardened systems for extreme environments
- Manufacturing process automation
- Robotic assembly optimization
Our work integrates physical capability with artificial intelligence to create robots that augment human potential rather than simply replacing human labor.
Transformative Vision
The next generation of robotics requires systems that can adapt to unstructured environments and collaborate effectively with humans. DAIDALUS is developing technologies that enable this transformation:
Versatile Manufacturing Systems
Robotic platforms that can rapidly reconfigure for different production tasks, enabling efficient manufacturing of complex products.
Environmental Adaptation
Systems that can perceive, understand, and navigate challenging environments from construction sites to disaster zones.
Collaborative Intelligence
Robots that work seamlessly with human teams, understanding intent, communicating clearly, and safely sharing workspaces.
Robotics Technology Innovation
Modular Robotics
Reconfigurable systems that adapt to different tasks through interchangeable components and rapid tool-switching capabilities.
Perception Systems
Advanced sensor fusion and environmental understanding enabling robots to operate effectively in unstructured and dynamic environments.
Adaptive Learning
Machine learning frameworks that enable robots to improve their performance through experience and demonstrate novel approaches to challenges.
Human-Robot Teaming
Collaborative frameworks enabling intuitive interaction between humans and robotic systems for enhanced productivity and safety.
Applications
Advanced Manufacturing
Adaptable robotic systems that can rapidly reconfigure for different manufacturing tasks, enabling efficient production of complex components.
Extreme Environment Operations
Hardened robotic platforms designed for deployment in hazardous conditions from disaster zones to space exploration.