Papers were solicited for all aspects of theories, applications, and case
studies related to computational intelligence in robotics and automation.
Topics include but are not limited to:
- Robot control with neural networks, fuzzy systems, and neuro-fuzzy systems
- Neural net based hand-eye coordination
- Mobile robot navigation
- Sensor referenced planning and control
- Applications to man-machine systems and telerobotics.
- Skill acquisition, learning, and transfer
- Behavior based control
- Sensor planning and intelligent sensor placement
- Society of robots with artificial life
- Visual servoing
- Pattern recognition
- Recurrent nets and dynamics
- Neuro-fuzzy systems
- Automatic target recognition
- Reactive and interactive task planning
- Sensor integration and fusion with neural and fuzzy information processing
- Neural networks for legged locomotion
- Visual information processing
- Computational intelligence in assembly
- Scheduling and optimization with neural, fuzzy, and evolutionary
computation
- Biologically inspired robotics
- Active vision
- Robot-human communication and coordination
- Multiple cooperative robots
- Reinforcement learning over time
- Virtual and visualized reality
- Learning for planning and scheduling
- Mobile robot localization and planning
- Automatic programming by demonstration
- GENERAL INFORMATION:
- Prof. Antti Koivo
School of Electrical Engineering
Purdue University
West Lafayette, IN 47907-1285
Email:
koivo@ecn.purdue.edu
Tel: (317) 494-3436
Fax: (317) 494-0880
Last updated May 7, 1996 by Michael C. Nechyba
(austrian@ri.cmu.edu)