A selection of engineering work — The cases below span robotics, embedded systems, validation, and automation. Although the technologies differ, they share the same approach: identify architectural bottlenecks, reduce complexity, and build solutions that scale.
An ageing robotic installation required expensive custom hardware and significant maintenance effort.
Redesigned the overall system architecture, simplifying the interaction between mechanics, electronics, and firmware.
Validation became a bottleneck as the number of robotic test benches increased.
Designed a distributed execution framework to schedule and balance tests across multiple benches.
Traditional embedded interfaces expose individual peripherals and low-level APIs, causing host applications to become tightly coupled to firmware implementations.
Designed a lightweight RPC framework mapping Python and C functions through a common communication layer to abstract hardware details for resource-constrained devices.
A robot end-effector moving in local workpiece coordinates required a controller capable of supporting dynamic workpiece switching and varying robot degrees of freedom (DoF).
Designed a kinematic abstraction supporting 1 to 6 axes with chained coordinate transformations to guarantee application versatility.
Existing torque sensors lacked precision and required specialized, high-maintenance mechanical integration.
Patented a multi-reflection optical system capturing nanometer-scale shaft twist via a compact sensor array.
Traditional robotic systems rely on rigid, fixed structures that cannot adapt dynamically to evolving shapes or changing environments.
Researched advanced system modeling and control strategies for decentralized, self-reconfiguring modular robotics.
Modeling and controlling scalable, under-actuated robotic chains introduces non-linear dynamics that standard kinematic solvers cannot handle.
Developed an advanced kinematics and dynamics model for scalable tendon-driven multibody systems to enable predictive planning.
Clinical trials restrict patients to controlled lab settings, limiting the realism and duration of physiological data gathering.
Engineered a low-power wireless body sensor network providing unobtrusive, high-accuracy skin temperature profiling over several weeks.
High-end robotic arm solutions met the required throughput targets but exceeded the client's budget by 5 times.
Replaced expensive multi-axis arms with 1-DoF linear guides and custom self-extruding suction pick-and-place units.
