Nikos Aspragathos
Uid: 1070
Expertise: Motion planning and robot control based on Artificial Intelligence, using Genetic Algorithms, Neural Networks, Agent Theory and Computational Geometry including: i) motion planning of redundant or non-redundant robots moving in environments cluttered with obstacles, ii) trajectory generation under accuracy constraints, iii) optimal single and multiple mobile robots motion planning in environments cluttered with obstacles iv) combined scheduling and motion planning of mobile robots and manipulators under obstacle and other constraints.
Control of robots and mechatronic systems including: robots with elastic joints, control for grasping of fragile objects based on Fuzzy Logic and tactile feedback, intelligent control for handling of non-rigid materials, hybrid adaptive and sliding mode force/position control, strategies for robot fine motion in contact with the environment - application in assembly automation, manipulation of microparts towards microassembly automation, and intelligent control systems for rehabilitation.
Design of mechatronic production systems and products. Optimal performance of current industrial manipulators and design and operation of reconfigurable robots.
Facility: Laboratory facilities include three industrial robotic manipulators, one lightweight 7DOF robot, one convertible mobile platform with a mounted 6 DOF manipulator and laser scanner, two small mobile robots, several small mobile robots developed by the group and a wide range of sensor systems (force/torque, vision, tactile etc.).
Priority: Robot Motion Planning
Robotics Control
Motion planning and robot control based on Artificial Intelligence
Computer-Aided Design
Computer Graphics
Artificial Intelligence and Autonomous Robots
Artificial Intelligence in Design and Control
Design of production systems and parts
Control of robots and mechatronic systems including: robots with elastic joints, control for grasping of fragile objects based on Fuzzy Logic and tactile feedback, intelligent control for handling of non-rigid materials, hybrid adaptive and sliding mode force/position control, strategies for robot fine motion in contact with the environment - application in assembly automation, manipulation of microparts towards microassembly automation, and intelligent control systems for rehabilitation.
Design of mechatronic production systems and products. Optimal performance of current industrial manipulators and design and operation of reconfigurable robots.
Facility: Laboratory facilities include three industrial robotic manipulators, one lightweight 7DOF robot, one convertible mobile platform with a mounted 6 DOF manipulator and laser scanner, two small mobile robots, several small mobile robots developed by the group and a wide range of sensor systems (force/torque, vision, tactile etc.).
Priority: Robot Motion Planning
Robotics Control
Motion planning and robot control based on Artificial Intelligence
Computer-Aided Design
Computer Graphics
Artificial Intelligence and Autonomous Robots
Artificial Intelligence in Design and Control
Design of production systems and parts
