Interaction between robots and animals in mixed societies is really a big challenge and an absolutely new research field. This kind of research is basis for further research that can be applied in agriculture and may be one day for a better interaction with the most sophisticated animal: human.
This is a first challenge of building very small robots that can be compatible with animals. Secondly it is of interest to study perception and sensors for bio-interaction. Finally the behavior aspects are very important for collective robotics. The exact goals are:
• Behavioral model. To propose a formal behavioral model, this applies to mixed societies, and studies its properties. It will formalize the behavior in a programming language.
• Interpretation and real worlds: the mixed societies. To provide a validation of behavioral model, i.e. show that it gives an understanding of the computational capabilities of animal societies.
• Controlling the global behavior of the society. To control mixed societies.
• Towards some general methodology. To provide a general methodology for the study and control mixed societies. For instance it will answer such questions as “are there typically configuration patterns that support a priori behavioral organization of mixed societies”.
• Relevance of our results to qualify of life and management of living resources. The evidence of the relevance of result to other configurations of mixed societies will be provided.
Blog about Robotics Introduction, news of the robot, information about the robot, sharing knowledge about the various kinds of robots, shared an article about robots, and others associated with the robot
Robots and Animals in Mixed Societies
Interaction between robots and animals in mixed societies is really a big challenge and an absolutely new research field. During many years researchers over the world have developed robots that are mechanically inspired by animals or robots that uses biologic actuators but only few robots that interacts with animals and none which tries to be accepted in the society as another animal.
This kind of research is basis for further research that can be applied in agriculture and may be one day for a better interaction with the most sophisticated animal: humans.
The exact goals are described below:
• Behavioral model. It will propose a formal behavioral model, which applies to mixed societies, and study its properties.
• Interpretation and “real” worlds: the mixed-societies. It will provide a validation of the behavioral model. i.e. show that it gives an understanding of the computational capabilities of animal societies.
• Controlling the global behavior of society. It will control mixed societies. We will show that it is actually feasible to change the global behavior of a mixed society and a demonstration will be provided on “real” mixed society.
• Toward some general methodology. It will provide a general methodology for the study and control of mixed society.
• Relevance of our results to quality of life and management of living resources. The evidence of the relevance of the results to other configurations of mixed societies will be provided.
This kind of research is basis for further research that can be applied in agriculture and may be one day for a better interaction with the most sophisticated animal: humans.
The exact goals are described below:
• Behavioral model. It will propose a formal behavioral model, which applies to mixed societies, and study its properties.
• Interpretation and “real” worlds: the mixed-societies. It will provide a validation of the behavioral model. i.e. show that it gives an understanding of the computational capabilities of animal societies.
• Controlling the global behavior of society. It will control mixed societies. We will show that it is actually feasible to change the global behavior of a mixed society and a demonstration will be provided on “real” mixed society.
• Toward some general methodology. It will provide a general methodology for the study and control of mixed society.
• Relevance of our results to quality of life and management of living resources. The evidence of the relevance of the results to other configurations of mixed societies will be provided.
Robot Hardware for Remote Control Vehicles
Beobot is the product of the emerging power of open source software as well as the entry into the market of consumer grade robotic devices that previously only existed in industrial as well as scientific applications. For instance, servomotors are now widely used in remote control (RC) hobby vehicles. Given of the nature RC racing, these servos must be cheap, durable and have ample torque for their size. Additionally, the motors used to run RC cars have become more powerful allowing for the construction of larger lower cost RC vehicles. The Beobot is based upon such a vehicle. The Traxxas E-Maxx RC car was one of the largest electric RC cars on the market. It is a 4-wheel drive truck that is able to reach speeds over 35 MPH, and is servo controlled. This provides as easy interface to computer control.
Additionally, it should be noted that many RC cars including gasoline powered RC cars are also servo controlled. Thus, with some creative judgment, the base component vehicle could take on many forms. At this point: we should also note the imitations of using off the shelf servos.
The design of a robot is of course more than taking a computer and dropping it on a drive train. The choice of the computer is also important. The server market of computers has created an ideal computer form for our robot called PICMG.
Additionally, it should be noted that many RC cars including gasoline powered RC cars are also servo controlled. Thus, with some creative judgment, the base component vehicle could take on many forms. At this point: we should also note the imitations of using off the shelf servos.
The design of a robot is of course more than taking a computer and dropping it on a drive train. The choice of the computer is also important. The server market of computers has created an ideal computer form for our robot called PICMG.
Miniature Water Strider Robot
Adapting highly efficient, multi-functional, and sub-optimal biological system working principles to synthetic technologies is one of the current challenges of engineering design. Biologically inspired systems and robots can enable us to understand nature in more depth, and also provide alternative means of developing smart and advanced novel robotic mechanisms.
Conventional macro scale locomotive systems on water rely on the buoyancy force, which is proportional to volume submerged under the surface of the water. However, when the floating object is scaled down to millimeter sizes by a ratio of I/L, buoyancy force decreases by I/L3. Then, surface forces such as repulsive surface tension forces that are proportional to I/L start to dominate the buoyancy force. Water striders use this scaling effect to stay and walk on water without breaking the water surface. Therefore, this unique locomotion mechanism on water has very little drag and enables highly maneuverable and fast motion.
Recently, the unique characteristics of the water strider have been studied and understood, including the super-hydrophobicity of the legs and its static and dynamic locomotion behaviors. These features suggest a new mechanism that will enable miniature robots to walk on water. Another advantage of utilizing surface tensions as the primary source of locomotion on this robot is its added mobility on and accessibility to shallow water, where boat-like designs are limited by the device displacing water underneath the surface for movements.
Conventional macro scale locomotive systems on water rely on the buoyancy force, which is proportional to volume submerged under the surface of the water. However, when the floating object is scaled down to millimeter sizes by a ratio of I/L, buoyancy force decreases by I/L3. Then, surface forces such as repulsive surface tension forces that are proportional to I/L start to dominate the buoyancy force. Water striders use this scaling effect to stay and walk on water without breaking the water surface. Therefore, this unique locomotion mechanism on water has very little drag and enables highly maneuverable and fast motion.
Recently, the unique characteristics of the water strider have been studied and understood, including the super-hydrophobicity of the legs and its static and dynamic locomotion behaviors. These features suggest a new mechanism that will enable miniature robots to walk on water. Another advantage of utilizing surface tensions as the primary source of locomotion on this robot is its added mobility on and accessibility to shallow water, where boat-like designs are limited by the device displacing water underneath the surface for movements.
Effective Robot Home Applications for Hobbyists
The evolution of robotic seems in many ways to mirror the evolution of the computer. Today robots can be found in many businesses and practically every major research institutions. However, the promise of the common robot envisioned by many prognosticators and authors to exist in the homes and lives of the average person has yet to be fully realized in the same way the personal computer has come to be as ubiquitous as the refrigerator. As such we believe that the next logical step in the evolution of robotic is to place robots in hand of hobbyists. Additionally, these robots must be powerful and flexible enough to spur this next step. It has thus designed a powerful, durable yet relatively low cost robot that relies almost exclusively on off the shelf parts.
While the usage of off the shelf parts and an open source design principle makes the assembly of the hardware components easier, it is also necessary that software implementation be easy to understand, as well as effective enough that the hobbyists can create robotic applications that are useful in the home. This is analogues to computer programmers writing simple programs to balance their checkbook in the early days of home computing. While such application may not have been efficient for their time, it created the foundation for idealistic development that would lead to the spreadsheet and the useful home applications that came later. As such, we are developing a comprehensive open source toolkit based upon biological principles to bring powerful software applications to the end user hobbyist to experiment with in the hopes of creating highly useful home and real world applications.
Biological Designs for Motor Control
It would like to emulate animal design features in an autonomous robot. Significant physical design feature includes energy source and density; sensors and density; and the density; robustness; and flexibility of neuronal axons or wires. It is inspired by computational design because of its unrivaled flexibility, fault tolerance, and power to manage vast arrays of sensory information and novel tasks. Biological systems physical design falls short of current technologies in the communication speeds between computing elements. Neural axons conduct their digital signals or action potentials at speeds less than 120 meters per second. The maximum rate of action potentials on the axon is low, less than 500 Hz, and there are substantial delays. These biological short-comings lead to long delays in any neuron control loop.
However biological systems show that an enormously powerful, robust and adaptive system can be constructed despite neurons inherent delays. The human brain is unparalleled for flexible motion control, planning and abstract cognition. The vast numbers of sensors, the number of parallel neurons used to process information, individual neuron’s complex processing capabilities, and a highly-evolved architecture all compensate for the delays. These assets construct a highly distributed, adaptable, and robust system of computational elements for internal model-based prediction, control, and communication.
However biological systems show that an enormously powerful, robust and adaptive system can be constructed despite neurons inherent delays. The human brain is unparalleled for flexible motion control, planning and abstract cognition. The vast numbers of sensors, the number of parallel neurons used to process information, individual neuron’s complex processing capabilities, and a highly-evolved architecture all compensate for the delays. These assets construct a highly distributed, adaptable, and robust system of computational elements for internal model-based prediction, control, and communication.
Robots Design Base on Biological and Neurobiological
Biological designs and neurobiological controls continue to inspire technological development. Biology provides working example and conceptual proofs that push the engineering envelope. The human form and its augmentation are major sources of technological innovation. Engineering helps we interpret biological adaptations observed in nature. Many of our major historical advances, such as tools, telescopes, and writing, are derived from technologies improving action, augmenting perception, and providing cognitive aids to the individual. These advances have increased the speed, power, spatial range, appropriateness, and precision human actions and perceptions.
During the last two decades, biologically inspired robotics developed into a burgeoning field exploring the ideas of artificial life and adaptive behaviors. It won’t be long before robotic lobsters, cockroaches, flies, lamprey, and tuna enter the commercial market. It hopes these efforts lead to the ultimate robot able to mimic aspects of human action, perception and cognition in remote or hazardous environments such as deep space or radiation spills.
These approaches reveal the inner workings of the most flexible and sophisticated motor controllers in existence. They also provide novel and important insights into biological organization, which can be translated into engineering designs. The framework provides a common language for neuroscientists, engineers and computer scientists to collaborate into the code development of robotic neuroprosthetic and neural network components.
During the last two decades, biologically inspired robotics developed into a burgeoning field exploring the ideas of artificial life and adaptive behaviors. It won’t be long before robotic lobsters, cockroaches, flies, lamprey, and tuna enter the commercial market. It hopes these efforts lead to the ultimate robot able to mimic aspects of human action, perception and cognition in remote or hazardous environments such as deep space or radiation spills.
These approaches reveal the inner workings of the most flexible and sophisticated motor controllers in existence. They also provide novel and important insights into biological organization, which can be translated into engineering designs. The framework provides a common language for neuroscientists, engineers and computer scientists to collaborate into the code development of robotic neuroprosthetic and neural network components.
Subscribe to:
Posts (Atom)
