Robotics & Control

Research Goals and Vision

The KAIST School of Electrical Engineering aims to advance the field of robotics and control by developing innovative technologies and methodologies. This research encompasses control theory, autonomous vehicles, human-robot interaction, drones and urban air mobility (UAM), humanoid and legged robots, Networked / Distributed Control Systems, data-driven control, fault-tolerant systems, and power management/battery systems. The department’s innovative research in these topics can be applied across various industries, including automotive, aerospace, healthcare, manufacturing, and urban transportation.

Key Research Areas

Control Theory

Advanced Control Algorithms : Developing robust and adaptive control algorithms to improve the performance and stability of dynamic systems.
Nonlinear and Optimal Control : Researching control strategies for nonlinear systems and optimizing control processes to achieve desired performance with minimal resources.

관련교수

FACULTIES

Autonomous Vehicles / Navigation

Vehicle Navigation Systems : Integrating multiple sensors, including LiDAR, cameras, and GPS, to enhance the situational awareness and decision-making capabilities of autonomous systems.
Sensor Integration : Designing and implementing navigation algorithms for autonomous vehicles to ensure accurate and safe navigation in various environments.

관련교수

FACULTIES

Human-Robot Interaction (HRI)

Collaborative Robots : Developing robots that can safely and effectively interact with humans in shared environments, including industrial and domestic settings.
Intuitive Interfaces : Creating intuitive interfaces and control systems that enable seamless communication and cooperation between humans and robots.

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FACULTIES

Drones / Urban Air Mobility (UAM)

Drone Navigation and Control : Enhancing the navigation and control systems of drones to improve their stability, reliability, and autonomy.
Urban Air Mobility Solutions : Researching the integration of drones into urban air mobility systems to provide efficient and safe transportation solutions.

관련교수

FACULTIES

Humanoid / Legged Robots

Locomotion and Balance : Developing control systems for humanoid and legged robots to achieve dynamic balance and efficient locomotion across various terrains.
Robotic Dexterity : Enhancing the dexterity and manipulation capabilities of humanoid robots to perform complex tasks in diverse environments.

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FACULTIES

Networked / Distributed Control Systems

Distributed Control : Researching control strategies for networked systems where multiple agents or devices operate collaboratively to achieve common goals.
Communication Protocols : Developing robust communication protocols to ensure reliable data exchange and synchronization among networked systems.

관련교수

FACULTIES

Data-driven Control

Machine Learning for Control : Applying machine learning techniques to develop predictive models and adaptive control strategies based on data collected from the system.
Real-time Data Processing : Implementing real-time data processing algorithms to enhance the responsiveness and accuracy of control systems.

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FACULTIES

Fault-tolerant Systems / Robust Control

Fault Detection and Diagnosis : Developing algorithms for the early detection and diagnosis of faults in control systems to prevent failures and maintain operational integrity.
Robust Control Techniques : Researching control methods that ensure system performance and stability under varying conditions and uncertainties.

관련교수

FACULTIES

Power Management / Battery Systems

Efficient Power Management : Developing power management systems to optimize energy consumption and extend the operational life of electric systems.
Advanced Battery Technologies : Researching advanced battery technologies to enhance the energy storage and power supply for various applications.

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FACULTIES

Recent related activities in Robotics & Control

See below for specifc ongoing research topics related to Robotics & Control of KAIST EE.

Research

Research Areas