AIMC Topic: Computer Simulation

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Prediction-for-CompAction: navigation in social environments using generalized cognitive maps.

Biological cybernetics
The ultimate navigation efficiency of mobile robots in human environments will depend on how we will appraise them: merely as impersonal machines or as human-like agents. In the latter case, an agent may take advantage of the cooperative collision av...

Adaptive Neural Network Dynamic Surface Control for a Class of Time-Delay Nonlinear Systems With Hysteresis Inputs and Dynamic Uncertainties.

IEEE transactions on neural networks and learning systems
In this paper, an adaptive neural network (NN) dynamic surface control is proposed for a class of time-delay nonlinear systems with dynamic uncertainties and unknown hysteresis. The main advantages of the developed scheme are: 1) NNs are utilized to ...

New exponential synchronization criteria for time-varying delayed neural networks with discontinuous activations.

Neural networks : the official journal of the International Neural Network Society
This paper investigates the problem of exponential synchronization of time-varying delayed neural networks with discontinuous neuron activations. Under the extended Filippov differential inclusion framework, by designing discontinuous state-feedback ...

Autoshaped choice in artificial neural networks: implications for behavioral economics and neuroeconomics.

Behavioural processes
An existing neural network model of conditioning was used to simulate autoshaped choice. In this phenomenon, pigeons first receive an autoshaping procedure with two keylight stimuli X and Y separately paired with food in a forward-delay manner, inter...

Universal Memcomputing Machines.

IEEE transactions on neural networks and learning systems
We introduce the notion of universal memcomputing machines (UMMs): a class of brain-inspired general-purpose computing machines based on systems with memory, whereby processing and storing of information occur on the same physical location. We analyt...

On extracting design principles from biology: II. Case study-the effect of knee direction on bipedal robot running efficiency.

Bioinspiration & biomimetics
Comparing the leg of an ostrich to that of a human suggests an important question to legged robot designers: should a robot's leg joint bend in the direction of running ('forwards') or opposite ('backwards')? Biological studies cannot answer this que...

On extracting design principles from biology: I. Method-General answers to high-level design questions for bioinspired robots.

Bioinspiration & biomimetics
When millions of years of evolution suggest a particular design solution, we may be tempted to abandon traditional design methods and copy the biological example. However, biological solutions do not often translate directly into the engineering doma...

Ultra-fast escape maneuver of an octopus-inspired robot.

Bioinspiration & biomimetics
We design and test an octopus-inspired flexible hull robot that demonstrates outstanding fast-starting performance. The robot is hyper-inflated with water, and then rapidly deflates to expel the fluid so as to power the escape maneuver. Using this ro...

Confined swimming of bio-inspired microrobots in rectangular channels.

Bioinspiration & biomimetics
Controlled swimming of bio-inspired microrobots in confined spaces needs to be understood well for potential use in medical applications in conduits and vessels inside the body. In this study, experimental and computational studies are performed for ...

To err is robotic, to tolerate immunological: fault detection in multirobot systems.

Bioinspiration & biomimetics
Fault detection and fault tolerance represent two of the most important and largely unsolved issues in the field of multirobot systems (MRS). Efficient, long-term operation requires an accurate, timely detection, and accommodation of abnormally behav...