Robotics Engineering

Design, build, and program autonomous robots and intelligent machines.

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FOUNDATIONS

Write robust, real-time control software using C++ and Python specifically tailored for robotic applications.

Apply linear algebra, calculus, and probability theory to model and solve robotic movement and uncertainty problems.

Build distributed robotic applications using the Robot Operating System (ROS) publish-subscribe architecture.

Integrate microcontrollers, custom circuits, and mechanical components to form the physical foundation of a robot.

Process and interpret data from diverse sensor modalities to perceive the physical environment.

Formulate mathematical models to map joint variables to end-effector positions and vice versa.

Design feedback loops to regulate robotic actuators and maintain desired states amidst disturbances.

Extract actionable features from camera feeds to enable visual tracking and object recognition.

Fuse noisy measurements from multiple sensors to maintain an accurate estimate of the robot's state.

Construct maps of unknown environments while simultaneously keeping track of the robot's location within them.

Deploy machine learning models to solve complex perception, grasping, and autonomous decision-making tasks.