Peter Simon Sapaty

A new concept of flexible organization for distributed robotized systems

The concept presented for the management of distributed dynamic systems is based on installing in all system components of a universal intelligent module interpreting special high-level language, in which any centralized or distributed control can be expressed. The mission scenario in the language, starting from any interpreter, is collectively executed by their network. The interpreters perform appropriate operations in nodes, while passing other parts of the scenario, together with intermediate data, to other interpreters in a coordinated manner. This process covers the system at runtime, and sets up distributed command and control infrastructures providing the overall integrity and goal orientation. This approach allows us to manage robotized systems in unpredictable and hostile environments, with possible failures of components. The language description and programming examples in it are provided.

Intelligent management of distributed dynamic sensor networks

A universal solution for the management of dynamic sensor networks will be presented, covering both networking and application layers. A network of intelligent modules, overlaying the sensor network, collectively interprets mission scenarios in a special high-level language, which can start from any nodes and cover the network at runtime. The spreading scenarios are extremely compact, which may be useful for energy-saving communications. The code will be exhibited for distributed collection and fusion of sensor data, and also for tracking mobile targets by scattered and communicating sensors.

Meeting the World Challenges with Advanced System Organizations

We have been witnessing numerous world crises and disasters—from ecological to military to economic, with global dynamics likely to be increasing further. The paper highlights known holistic and gestalt principles mainly used for a single brain, extending them to any distributed systems which may need high integrity and performance in reaction to unpredictable situations. A higher organizational layer is proposed enabling any distributed resources to behave as an organism having global “consciousness” and pursuing global goals. This “over-operability” layer is established by implanting into key system points the same copy of a universal intelligent module, which can communicate with other such modules and interpret collectively global mission scenarios presented in a special Distributed Scenario Language. The behavioral scenarios can be injected from any module, and then self-replicate, self-modify, and self-spread throughout the system to be managed, tasking individual components, activating distributed resources, and establishing runtime infrastructures supporting system’s integrity. Existing and prospective applications are outlined and discussed, confirming the paradigm’s suitability for solving world problems.

Intelligent management of distributed sensor networks

A universal solution for management of dynamic sensor networks will be presented, covering both networking and application layers. A network of intelligent modules, overlaying the sensor network, collectively interprets mission scenarios in a special high-level language, which can start from any nodes and cover the network at runtime. The spreading scenarios are extremely compact, which may be useful for energy saving communications. The code will be exhibited for distributed collection and fusion of sensor data, also for tracking mobile targets by scattered and communicating sensors.

Distributed Technology for Global Control

A flexible, ubiquitous, and universal solution for management of distributed dynamic systems will be presented. It allows us to grasp complex systems on a higher than usual, semantic level, penetrating their infrastructures, also creating and modifying them, while establishing local and global dominance over the system organizations and coordinating their behavior in the way needed. The approach may allow the systems to maintain high runtime integrity and automatically recover from indiscriminate damages, preserving global goal orientation and situation awareness in unpredictable and hostile environments.

Grasping Spatial Integrity in Distributed Unmanned Systems

Due to the increased complexity of tasks delegated to unmanned systems their collective use is becoming of paramount importance for performing any reasonable jobs. An approach is offered where integral group behaviors are achieved automatically rather than set up manually. Missions in a high-level Distributed Scenario Language can be executed jointly by communicating interpreters embedded in key system units. Robotic scenarios like reconnaissance, camp security, convoy, mule and explosive ordnance disposal oriented on different numbers of cooperating units are demonstrated. The approach allows us to effectively manage any teams, from manned to purely unmanned, regardless of the number of components in them. Other researched applications of the technology are outlined as well as its relation to gestalt philosophy, where the whole dominates over parts, defining their sense and even existence. The paradigm discussed may also be considered as a universal globally programmable distributed super-machine operating with both information and physical matter, ruling the world covered by it at runtime.

Emergent societies: advanced IT support of crisis relief missions

A novel distributed control ideology and technology is described for the management of advanced crisis relief missions. The approach is based on the installation of a universal “social” module in massively wearable electronic devices, such as laptops and mobile phones, which can collectively interpret a spatial scenario language, exchange high-level program code (waves) and data, and control other modules in parallel. This can dynamically integrate any scattered post-disaster human and technical resources into an operable distributed system capable of solving autonomously complex survivability, relief, and reconstruction problems.

Universal Distributed Brain for Mobile Multi-Robot Systems

The paper describes a new concept for the creation of a universal distributed brain for mobile multi-robot systems. This brain spatially interprets a special high-level language in which mission scenarios can be efficiently formulated and implemented, with cooperative work of robots being a derivative of the parallel interpretation process. Due to universal nature of the scenario language proposed, which navigates in a unity of physical and virtual worlds and operates with both information and physical matter, the approach may form a new basis for the development and massive production of advanced distributed multi-robot systems.

Spatial Grasp Model

The chapter describes the Spatial Grasp Model based on distributed spatial patterns self-matching the distributed worlds and its key element—recursive Spatial Grasp Language, SGL, in which all such patterns are expressed in a parallel wavelike mode, with unlimited scenario mobility in distributed spaces. SGL directly operates with physical, virtual, and executive worlds and their any combinations, also with pure computations within the same universal recursive syntax which allows the language to be extended easily for new classes of distributed applications. Elementary scenarios in SGL and main ideas of its networked interpretation are presented too.

Some Theoretical Background

The chapter contains some philosophical and theoretical background of the presented approach which includes biology-inspired General Systems Theory, System Dynamics with computer simulated multi-loop network models, Brain Waves and Consciousness phenomena, Gestalt Psychology grasping the whole first with parts having sense only in the context of the whole, Memetics similar to genetics but in information and social areas, also currently dominant interoperability principles of organization of civil and especially military systems and the necessity and urgency of higher organizational levels like Over-operability coined by the author.