Helbling Robotics Lab

The Helbling Robotics Research Lab focuses on the design of autonomous insect-scale robotic platforms capable of sustained operation in complex real-world environments. I joined the lab during my first semester of senior year and began working on one of the lab’s three robotic platforms, Gammabot, where I am designing and developing a dynamic braking mechanism for the robot. Gammabot is an insect-scale flapping-wing robot that skims along the air–water interface, leveraging centimeter-scale fluid–structure interactions to enable controlled interfacial locomotion.

Final Report

Below is the final report for my senior design project. The remainder of this page summarizes the work and results detailed in the paper. My Systems M.Eng project picks up where this paper leaves off; current progress will be added later in the semester.

Summary

Complete Experimental Prototype
Complete Experimental Prototype

Analysis and Modeling

The braking behavior is modeled using a quadratic drag framework, in which the braking force scales with the square of velocity and the projected wetted area of the brake. This formulation leads to an exponential decay of velocity as a function of distance traveled along the water surface. Rather than explicitly modeling every hydrodynamic effect, a single lumped drag constant, (K), is used to capture the combined influence of brake geometry, wetted area, fluid properties, and unmodeled losses. This approach allows braking performance to be characterized using a single physically meaningful parameter that can be directly extracted from experimental data and compared across different brake depths. The full analytical derivation underlying this model is provided in the accompanying report.

Prototype Design and CAD

The braking mechanism was designed to mount directly to the existing Gammabot chassis while allowing rapid adjustment of brake immersion depth. A pin-slot architecture enables discrete depth settings without redesigning the surrounding structure, facilitating efficient experimental iteration.

Full CAD Assembly
Full CAD assembly of the braking system
Brake Plate CAD
Brake plate CAD geometry
Brake Schematic
Brake mounting schematic

Fabrication & Assembly

All brake components were fabricated from carbon-fiber–resin laminate stock using laser cutting. This manufacturing method enabled precise control over geometry while maintaining low mass and high stiffness. Laser parameters were tuned to ensure clean edges and consistent hole dimensions for the pin-slot mechanism.

Laser Cutting Brake Plate
Laser cutting brake plate

Assembly was performed under magnification due to the small scale of the components. Hydrophobic coatings were locally removed prior to adhesive bonding to ensure reliable joints. The brake plate and mounting brackets were then installed sequentially to achieve the desired immersion depth.

Coating Removal
(a) Remove coating
Glue Application
(b) Apply glue
Bracket Placement
(c) Place pin-slot brackets

Experimental Setup

Experiments were conducted in a shallow water tank with the magnetic rail spanning the test region. A magnetic test rail is used to constrain the robot to one-dimensional motion while minimizing friction during braking experiments. Diamagnetic levitation supports the robot and provides lateral stability, allowing measured deceleration to be attributed primarily to hydrodynamic drag. The robot was accelerated using a controlled air impulse before entering the braking region. High-speed video was used to track robot position, from which velocity–distance data were extracted for analysis.

Top Rail View
Inside-view of magnetic rail
Side Rail View
Side-view of magnetic rail

Results

5mm Brake Depth Data
5 mm brake depth data
2mm Brake Depth Data
2 mm brake depth data
No Brake Data
No-brake baseline data
All Trials Normalized
All trials with normalized velocity

Conclusions and Next Steps

The results demonstrate that a compact, passive water brake can significantly improve stopping performance for an interfacial robot. While experimental drag constants did not fully meet analytical targets due to speed and setup limitations, observed trends strongly support the underlying model. Current work is now focusing on achieving higher initial velocities and implementing an actuated braking mechanism to enable on-demand deployment and improved control authority.