- Design and Development of

- Omegabot: Inchworm inspired

- Large deformable morphing

- Wearable robotic hand
- Hands on surgical robot:
   Shared control system
- Situation Understanding for
   Smart Devices

- Wireless Camera Sensor
   Networks Technology

- Mobile Sensor Networks:
   Algorithms and Applications
- Whole-Body Control Framework
    for Humanoid Robot

- Walking Pattern Generation for
   Humanoid Robot

- Robot Hand Control
- Quadruped Robot Control with
   Whole-Body Control Framework

- Human Gait Analysis using
   3D Motion Capture
- Coordination of multiple robots
- Flocking and consensus
- Vision-based guidance and

- Online collision avoidance for
   mobile robots

- Wireless sensor network
- Aerial Manipulation
- Haptics/VR
- Autonomous Mobility
- Telerobotics
- Mechanics/Control
- Industrial Control
- Mobile Manipulation
- Simultaneous Visual and
   Inertia Calibration

- Mechanics of Closed Chains
- Motion Optimization via
   Nonlinear Dimension

- Probabilistic Optimal Planning
   Algorithm for Minimum
   upstream Motions

- Automated Plug-In Recharging
   System for Hybrid Electric
Mobile Sensor Networks: Algorithms and Applications

In order to address societal issues with growing importance, such as environment protection, efficient management of resources, and security, it is necessary to collect and process sensing data in real-time, potentially under dynamic and unstructured environment. While wireless sensor networks can provide some solutions, they are not adaptive enough to handle dynamic changes in environment. Mobility in a sensor network can increase its sensing coverage both in space and time and robustness against dynamic changes in the environment and have received extensive attention recently.

The goals of this project are to develop the core technology for mobile sensor networks and prototype applications and to present new possibilities using mobile sensor networks technology.

This project is funded by the National Research Foundation (NRF).

For more information, visit the lab webpage. , 02-880-7149