The main areas of interest of the TC can be summarized as follows:
- Modeling and Control of MRS:
- Modeling of MRS
Tradeoffs between simplicity and completeness: modeling dynamics or just kinematics, modeling the sensing and interaction structure and medium, etc. - Design and Use of the Heterogeneity of MRS
In terms of sensing, motion and computation capabilities - Bio-Inspired MRS and Swarm Intelligence/Robotics
- Optimal Control and Optimization Methods for MRS
- Control Architectures and Scalability for MRS
Centralized vs. decentralized, etc. - General Control Objectives for MRS
Formation control, flocking, coverage, force control, etc. - Distributed Perception and Estimation in MRS
Perceiving, understanding and merging different pieces of local information
- Modeling of MRS
- Planning and Decision Making for MRS:
- Motion Planning and Coordination for MRS
Centralized vs. decentralized vs. hybrid, etc. - Task Planning, Allocation, and Cooperative Execution for MRS
Centralized, decentralized, real time, on/off line - Cooperative Decision Making in MRS
- Physical Interaction in/with MRS
Among robots, with the environment, with humans - Cooperative/Collective Learning in MRS
- AI of Large Scale Systems
- Motion Planning and Coordination for MRS
- Applications of MRS, Technological and Methodological Issues:
- Industrial/Societal Real-world Applications of MRS
- Mechatronic Design of MRS
- Operating Systems and Cloud Technology for MRS
- Software Platforms and Realistic Simulation Tools for MRS
- Communication in MRS
- Principled Experimental Methodologies for MRS
- MRS for Cooperative Manipulation
- MRS in Unstructured Environments
Urban environments, search & rescue operations, etc. - Micro/Nano Scale MRS
- Performance Evaluation and Benchmarking in MRS