Robotics@SNU

Research
- Design and Development of
   FLEA

- Omegabot: Inchworm inspired
   robot

- Large deformable morphing
   structure:Flytrap-inspired
   robot

- 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
   navigation

- 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
   Reduction

- Probabilistic Optimal Planning
   Algorithm for Minimum
   upstream Motions

- Automated Plug-In Recharging
   System for Hybrid Electric
   Vehicle
Wireless sensor network
Wireless sensor networks (WSNs) consist of a large number of sensor nodes that measure properties of interests of their local environment. The sensor nodes communicate and share information with neighbor nodes in order to enhance their limited measurement or decision capabilities. WSNs have been considered for various monitoring and control applications such as target detection, recognition, localization, biomedical applications, home and office applications , and structural health monitoring. These applications require in common a capability to efficiently process the distributed information, utilizing the restricted resource. We investigate efficient learning algorithms for WSNs that can accurately estimate quantities of interests despite a large amount of data, limited communication capacity, and low computation power.

For more information, visit the lab webpage.

jhp9395@robotics.snu.ac.kr, 02-880-7149