
Embodied AI builds safe, intuitive robotic systems that enable human-friendly interaction through soft manipulators and integrated AI models. The company develops the Helix Manipulator, a commercial soft manipulator offering over nine degrees of actuation and ~1 meter of workspace, based on a patented Trimmed Helicoid structure for precision manipulation. Embodied AI also produces Visual Language Action models and other foundation AI models that translate human instructions into robot behavior. The company sells primarily to research institutions and robotics or AI-focused companies, positioning itself in the soft robotics and human-robot interaction market.

Embodied AI builds safe, intuitive robotic systems that enable human-friendly interaction through soft manipulators and integrated AI models. The company develops the Helix Manipulator, a commercial soft manipulator offering over nine degrees of actuation and ~1 meter of workspace, based on a patented Trimmed Helicoid structure for precision manipulation. Embodied AI also produces Visual Language Action models and other foundation AI models that translate human instructions into robot behavior. The company sells primarily to research institutions and robotics or AI-focused companies, positioning itself in the soft robotics and human-robot interaction market.
Headquarters: Lausanne, Switzerland
Flagship product: Helix — commercial soft manipulator (9+ degrees of actuation, ~1 m workspace, ~1 cm precision; SDKs in Python/MATLAB/ROS2)
Core AI: Visual-Language-Action (VLA) foundation models that translate language into robot actions
Founding team: Francesco Stella; Kai Junge; Max Polzin; Prof. Josie Hughes; Prof. Cosimo Della Santina
Funding signal: Seed: CHF 150,000 from Venture Kick (Jan 2025); company states it has raised over CHF 1M in non-dilutive funding
Safe, intuitive human-robot interaction and soft robotic manipulation for research and robotics/AI teams.
2023
Robotics Engineering
CHF 150,000
Seed award/round including CHF 150k from Venture Kick (listed on company and third-party profiles).
“Venture Kick (seed/award)”
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We show four master thesis projects for the coming semester, both as an academic project (collaboration with EPFL CREATE Lab), and led solely by Embodied AI.
However, if a project is appealing to you / fits your skillset for an internship, please feel free to reach out, and indicate your preferences.
Simulated environments serve as a backbone for robot learning, testing controllers, and robot Sim-to-real of a tendon-driven compliant humanoid development without the need of the real hardware. While traditional robots are commonplace in simulation, novel hardware is not yet standardized in simulated environments.
In this project, you will work on developing a simulation of a tendon-driven compliant humanoid robot using the Isaac Sim environment. Starting from the robotic arms, you will gradually expand towards a full mobile-robot (N.B.: The humanoid here refers to a torso connected to a wheeled base, so legged locomotion is not considered in this project).
Directions of the project (not all are part of the scope of the project, but depending on the progress, this can be varied):
Useful skills / prior experience to have:
(Planned as a joint project with the CREATE Lab and Embodied AI, however conversion into an industry-led thesis is possible upon discussion.)
As capable humanoid robots become omnipresent, the ability to effectively operate one is a critical step towards putting such systems into performing useful tasks. Teleoperation serves as a key step towards immediate operation of such robots alongside a tool for data collection for learning based controllers.
In this project, you will explore and develop teleoperation interfaces for a lightweight, tendon-driven humanoid robot. Starting from a leader-follower arm design, we will explore the possibilities of other control inputs and feedback mechanisms that can be implemented.
Directions of the project (not all are part of the scope of the project, but depending on the progress, this can be varied):
Useful skills / prior experience to have:
(Planned as a joint project with the CREATE Lab and Embodied AI, however conversion into an industry-led thesis is possible upon discussion.)
Learning based controllers (specifically those based on imitation learning) present a promising direction towards autonomous applications in real world situations. Despite these advances, robots struggle on a number of fronts: long horizon tasks, recovery, large task adaptations, etc.
For practical deployment, an intermediate step is considered human-supervised semi-autonomy, where a robot is able to execute small segments of autonomous tasks, which are coordinated by a human. In this project, you will explore how to blend cutting edge learning algorithms with teleoperation.
Directions of the project (not all are part of the scope of the project, but depending on the progress, this can be varied):
Useful skills / prior experience to have:
(Planned as a joint project with the CREATE Lab and Embodied AI, however conversion into an industry-led thesis is possible upon discussion.)
The head of a humanoid has a unique dual function of practicality and aesthetics/feel. Cameras and other interfaces must be controlled for the robot’s operation, while the subtle motion of the head should communicate its intentions to surrounding humans through its motion (or otherwise).
In this project, you will prototype and iterate on the head of a humanoid robot in development. This includes the two aspects mentioned above. More specifically, you will perform component selection / implementation such as cameras and servo motors that enable the animatronic motions. Furthermore you will explore possible ways of controlling the head in a ‘Disney / star-wars droid’ like movements for effective non-verbal communication.
Useful skills / prior experience to have:
(Planned as an industry-led thesis project, however, conversion into a joint thesis with the CREATE Lab and Embodied A is possible upon discussion.)