Skip to main content
Northwestern University

General Autonomous Robotics

Autonomous systems use sensory data, artificial intelligence, machine learning, and motion planning and control to make real-time decisions about how to act in changing environments.

Research Topics

Programmable vibrating plate inducing friction to manipulate how an object slides across its surface.

Dynamic and nonprehensile manipulation

Three researchers surrounding a fluidized bed filled with granular material in the robotics lab.

Legged locomotion

Simulation tracking of an underactuated fish-robot's locomotion.

Control synthesis and embodied intelligence

Drawing of Sawyer robot and it's learned motion-trajectories.

Physical information and active learning

Simulation of a human puppet in three different positions/poses.

Scalable algorithms for physical systems

Four-fingered robotic hand holding a Northwestern waterbottle.

Multi-fingered manipulation

Flow chart of a cyber-physical control model.

Control of cyber-physical systems in uncertain environments

We develop algorithms that help complex cyberphysical systems to anticipate future uncertainty.

Three robotic carts stationary on the robotic laboratory floor.

Collaborative manipulation

Back to top