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Robotics at NC State

Robotics at the College of Engineering brings together control, AI, human interaction and systems integration from fundamentals to application. 

NC State University’s College of Engineering aims to be a national leader in robotics innovation, focusing on AI-enabled, hands-on and collaborative robotics.

Robotics Research Areas

NC State currently has faculty working in robotics across multiple departments. Their work is summarized across core disciplines and research thrusts.

Advanced and Safe Autonomy, Perception and Control for Robotics

Control, Autonomy & Learning

Focused on foundational theories and algorithms for intelligent, safe and adaptive autonomous robots. Includes advanced control algorithms, reinforcement learning, deep learning for control, game theory, multi-agent coordination, cyber-physical security, safe autonomy, and adaptive control and locomotion control for legged and humanoid robots and embodied AI for robots acting as intelligent physical agents.

Sensing & Perception for Robotics

Core technologies enabling robots to understand, interpret and navigate the world. Includes computer vision, multimodal sensing, SLAM, perception for manipulation, acoustic sensing, tactile sensing, sensor fusion, and perception for field environments.

Trustworthy, Safe & Resilient Robotics

Ensuring robots operate reliably, transparently and securely in high-stakes settings. Includes explainable robotics, formal verification, dependable multi-robot systems, adversarial robustness and cybersecurity of robotic platforms and networks. Includes ethical frameworks for responsible robotic decision-making and deployment.

Application-Focused Robotics

Human Health, Interaction & Rehabilitation Robotics

Robotics that augment, restore, or enhance human capability. Includes wearable exoskeletons, soft/hybrid assistive devices, neurorobotics, neuromorphic interfaces, medical robotics, rehabilitation robotics, robotic prosthetics, haptic robotics and physical human robot interaction. includes robots designed for human environments, such as humanoid robots, social robots, and collaborative legged systems built for shared physical spaces.

White four-wheeled box-like robot with vertical camera mount in the middle. Robot is in front of a large field of mature corn. A late in the day sunset is behind a partly cloudy sky in the background.
This image shows the autonomous robot, with multiple tiers of PhenoStereo cameras, that are part of the AngleNet system.

Field, Agricultural & Environmental Robotics

Robots that operate in natural, outdoor, controlled or unstructured environments. Includes agricultural robotics, livestock monitoring, environmental sensing platforms, field autonomy, resilient locomotion, legged robots and quadrupeds for uneven terrain, and weather-robust aerial/ground systems.

Aerial, Connected & Networked Robotic Systems

Autonomous aerial vehicles and robots that rely on advanced communication networks. Includes UAVs, multi-robot swarms, networked autonomy, V2X/IoBT, collaborative sensing, multi-agent robotics systems and large-scale trajectory planning (e.g., AERPAW).

Robotics for Manufacturing, Automation & Logistics

Robots that support high-precision manufacturing, supply chain efficiency and human-robot collaboration in industrial settings. Includes warehouse automation, last-mile delivery robotics and robotics for advanced manufacturing workflows.

Human-Centered Robotics

Robotic prosthetic arm and wrist connected to two tubes and syringes.

Human-Centered Robotics and Human-Robot Interaction

Robotic systems intentionally designed around human needs, capabilities, and behavior. Includes human-robot interaction (HRI), shared autonomy, human trust, cognitive engineering, ergonomics, robots designed for human environments such as humanoid systems, and collaborative or assistive robots operating in workplaces, homes and public spaces.

Humanoid, Legged & Bio-Inspired Mobility

Focused on robots designed for human-scale interaction and robust mobility. Includes humanoid robots, bipeds, quadrupeds, bio-inspired locomotion, compliant legs, dynamic balancing and high-mobility platforms for human environments and complex terrain.

Education, Materials and Manufacturing for Robotics

A soft robot and a caterpillar on the branch of a green plant. The caterpillar is on the bottom of the branch and the soft robot is on the top or opposite side of the branch.
A soft robot and a caterpillar on the branch of a green plant.

Micro, Nano, Soft Robotics

Focused on small-scale perception and actuation, soft interfaces, and new material paradigms. Robots and mechanisms leveraging new materials and mechanically intelligent structures. Includes micro/nanorobots, biologically inspired actuators, ultrasoft polymers, hydrogel actuators, physical AI and soft robotic systems for delicate interaction.

AI-Driven Materials Discovery & Self-Driving Labs

Robotics-enabled autonomous experiments and high-throughput scientific discovery. Includes self-driving labs, AI-orchestrated multi-robot workflows, autonomous synthesis platforms and closed-loop materials optimization.

Robotics Education, Software & Workforce Development

Develops reliable software tools and training programs for future robotics engineers. Includes software engineering for robotics, formal testing and verification, hands-on curriculum development, and statewide robotics workforce pipelines.

Illustration of caterpillar-like soft robot.

Videos

Participating Faculty

a faculty member and a student kneel next to a small four-wheeled robot in a lab workshop setting; two other students are in the background working-one on the left and one on the right
  • Biomedical Engineering (BME)
  • Civil, Construction, and Environmental Engineering (CCEE)
    • Kevin Han
    • Ali Hajbabaei
  • Electrical and Computer Engineering (ECE)
    • Max Cohen
    • Sevgi Gurbuz
    • Edgar Lobaton
    • Mihail Sicitiu
    • Aranya Chakrabortty
    • Ismail Guvenc
    • Aritra Mitra
  • Mechanical and Aerospace Engineering (MAE)
  • Computer Science (CSC)
  • Industrial and Systems Engineering (ISE)
    • HUMAN SYSTEMS AND ERGONOMICS, especially humans interacting with technologies
      • Karen Chen
        • Human systems and ergonomics 
      • Renran Tian
        • Human systems and ergonomics 
      • Xu Xu
        • Human systems and ergonomics
    • MANUFACTURING, AUTOMATION AND ROBOTICS
      • Jingyan Dong
        • Nano manufacturing; has been one of our teachers of automation
      • Ola Harrysson
        • Advanced manufacturing, some of which involves automation and robotics
      • Yuan-Shin Lee
        • Manufacturing processes; has been one of our teachers of automation
      • Fred Livingston
        • Robotics, automation and manufacturing; currently our lead instructor for robotics and automation
    • LOGISTICS AND CONNECTIONS WITH ROBOTICS
      • Leila Hajibabai
        • Logistics including last-mile where robots may be involved
      • Michael Kay
        • Logistics and material handling; warehouse material handling involves robotics
  • Materials Science and Engineering (MSE)
  • Chemical and Biomolecular Engineering (CBE)
    • Milad Abolhasani
    • Lilian Hsiao
    • Orlin Velev
    • Richard Spontak
    • Wentao Tang

Student Robotics Clubs

NC State University offers several student-led clubs focusing on designing, building and researching robotics.