Invited Session on Agent-Based Fuzzy Robotics
Aim and ObjectivesThere is a growing tendency to introduce agent and fuzzy formulism information into robotic systems. This tendency is visible in different forms within several areas of robotics. Future robotics is a multidisciplinary research area. Its central aim is to integrate traditional robotics, artificial intelligence, cognitive science and neuroscience etc. Research into robotics has traditionally emphasized low-level sensing and control tasks including sensory processing, path planning, and manipulator design and control. Future robotics is concerned with endowing robots and software agents with higher-level cognitive functions that enable them to reason, act and perceive in dynamic, incompletely known and unpredictable environments. The methods used should be flexible enough to combine the strengths of conventional programming with those of machine learning methods. This session will give research priority to agent and fuzzy methods and will also emphasize the link amongst agent community, robotics community and fuzzy community in computational intelligence. The perspective taken in this session is that there are possibly many ideas and formalisms that can be taken from agent and fuzzy communities, but that these should be evaluated from the point of view of robotics. This session aims at an in-depth understanding some of robotics problems through fuzzy and agent methodologies.
Authors are invited to submit their original and unpublished work in the areas including (but not limited to) the following:
- Agent/fuzzy based architecture
- Low-level robot sensing and signal processing
- High-level symbolic description
- Fuzzy qualitative techniques
- Fuzzy/agent learning
- Agent/fuzzy control
- Approximation reasoning
- Agent-based human robot interaction
Dr Dongbin Gu
Department of Computer Science,
University of Essex, UK Dr Honghai Liu
Institute of Industrial Research
University of Portsmouth, UK
