The Continuum Robotics Laboratory designs and builds continuum robots—joint‑less, flexible machines that can navigate confined spaces, manipulate objects in complex environments, and follow curvilinear paths that traditional robots cannot. Their research focuses on bio‑inspired designs that enable robots to operate in tight or irregular settings, such as medical minimally invasive tools or inspection devices for constrained infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional robotic manipulators rely on discrete joints, limiting their ability to navigate narrow, curved pathways and manipulate objects within confined or irregular environments. This constraint hampers applications such as infrastructure inspection, soft‑material handling, and tasks requiring high adaptability.
Solution
Continuum Robotics Laboratory develops joint‑less, continuously flexible robots that emulate natural adaptable forms. By employing tendon‑driven and concentric‑tube architectures, these robots can extend, bend, and twist to follow curvilinear trajectories while maintaining controllable stiffness. The laboratory’s research focuses on improving accuracy, repeatability, and load‑bearing capacity through advanced modeling, shape estimation, and multi‑robot coordination. Demonstrated prototypes include an extensible section continuum robot and a teleoperated concentric‑tube system, showcasing the ability to operate in tight spaces and delicate contexts beyond the reach of conventional robots.
Target Audience
Primary users are researchers and engineers in robotics, industrial inspection, and soft‑material handling who require highly adaptable manipulators for confined or complex environments.
Features
- Tendon‑driven continuum backbone enabling smooth, continuous curvature without discrete joints
- Extensible sections that adjust length on‑demand for variable reach
- Teleoperated concentric‑tube design for precise navigation in constrained pathways
- Integrated shape‑estimation algorithms using extended Kalman filtering for real‑time pose feedback
- Stiffness modulation techniques to balance flexibility with load‑bearing requirements
- Modular architecture supporting multi‑robot configurations to enhance overall performance