Autonomous Robot

Software design is the hardest part of creating intelligent agents. Therefore agent architectures should be optimized as design tools. This paper presents an architectural synthesis between the three-layer architectures which dominate autonomous robotics and virtual reality, and a more agent-oriented approach to viewing behavior modules. We provide an approach, Behavior Oriented Design (BOD), for rapid, maintainable development. We demonstrate our approach by modeling primate learning.

This paper describes two humanoid robots developed in the Humanoid Robotics Institute, Waseda University. Hadaly-2 is intended to realize information interaction with humans by integrating environmental recognition with vision, conversation capability (voice recognition, voice synthesis), and gesture behaviors. It also possesses physical interaction functions for direct contact with humans and behaviors that are gentle and safe for humans. WABIAN is a robot with a complete human configuration that is capable of walking on two legs and ...

Separately, the Internet of Things (IoT) and Artificial Intelligence (AI) are groundbreaking advances. At the point when we consolidate AI and IoT, we get AIoT - the artificial intelligence of things. We can consider IoT gadgets as the digital sensory method whilst AI is the brain of a framework. In this article, we are analyzing about AIoT and analyzing about the applications and real time examples of AIoT method.

Separately, the Internet of Things (IoT) and Artificial Intelligence (AI) are groundbreaking advances. At the point when we consolidate AI and IoT, we get AIoT-the artificial intelligence of things. We can consider IoT gadgets as the digital sensory method whilst AI is the brain of a framework. In this article, we are analyzing about AIoT and analyzing about the applications and real time examples of AIoT method.

This paper presents a project whereby the Sony AIBO robot (ERS-220 model) was programmed to compose original music in real-time through direct interaction with its environment and people. It begins with a brief introduction to robotic applications in the arts and music. Then it introduces the technical issues encountered in realising the project (namely, AIBO’s functionality and musical intelligence) followed by the proposed solutions. It presents AIBO-Max, a new tool that we implemented for programming AIBO combining Max/MSP and R-Code, and the musical composition system that is used in association with AIBO behaviours to generate the music.

The autonomous robot discussed here was designed and built for the 2009 IEEE SoutheastCon Hardware Competition. The objective for the robot was to locate, pick up, sort and store beverage containers of different shape, size and weight as quickly as ...

— For meaningful interaction between a robot and a human, an autonomous robot must recognize whether the experienced situation is created by people or by the environment. Using only proprioceptive data from a mobile robotic platform, we discover that it is possible to distinguish sensory data patterns involving interaction. These patterns are obtained whilst navigating varying environments, both human populated and unpopulated. The paper reports the initial set of trials using Roball, a spherical mobile robot. Also described is the experimental methodology currently followed to validate the hypothesis that child interaction can be perceived directly from navigation sensors onboard a robotic platform.

3D imaging systems provide valuable information for autonomous robot navigation based on landmark detection in pipelines. This paper presents a method for using a time-of-flight (TOF) camera for detection and tracking of pipeline features such as junctions, bends and obstacles. Feature extraction is done by fitting a cylinder to images of the pipeline. Data in captured images appear to take a conic rather than cylindrical shape, and we adjust the geometric primitive accordingly. Pixels deviating from the estimated cylinder/cone fit are grouped into blobs. Blobs fulfilling constraints on shape and stability over time are then tracked. The usefulness of TOF imagery as a source for landmark detection and tracking in pipelines is evaluated by comparison to auxiliary measurements. Experiments using a model pipeline and a prototype robot show encouraging results.

The goal for real-time mobile robots is to travel the shortest path in minimal time while avoiding obstacles in a navigation environment. Autonomous navigation allows robots to plan this path without the need for human intervention. The path-planning problem has been shown to be NP-hard, thus this problem is often solved using heuristic optimization methods such as genetic algorithms. An important part of the genetic algorithm solution is the structure of the genotype that represents paths in the navigation environment. The genotype must represent a valid path, but still be simple to process by the genetic algorithm in order to reduce computational requirements. Unfortunately, many contemporary genetic path-planning algorithms use complex structures that require a significant amount of processing, which can affect the real-time response of the robot. This paper describes the development of a genotype structure that contains only the essential information for path planning, which all...

Separately, the Internet of Things (IoT) and Artificial Intelligence (AI) are groundbreaking advances. At the point when we consolidate AI and IoT, we get AIoT-the artificial intelligence of things. We can consider IoT gadgets as the digital sensory method whilst AI is the brain of a framework. In this article, we are analyzing about AIoT and analyzing about the applications and real time examples of AIoT method.

The paper describes a work in progress for modeling an emotion-based autonomous robot controller designed to coordinate the interaction with the environment. The robot courses of actions are conceptualized as consequences of collaborative multi-agent fuzzy decision making processes.

To hasten the process of saving lives after disasters in urban areas, autonomous robots are being looked to for providing mapping, hazard identification and casualty location. These robots need to maximise time in the field without having to recharge and without reducing productivity. This project aims to improve autonomous robot navigation through allowing comparison of algorithms with various weightings, in conjunction with the ability to vary physical parameters of the robot and other factors such as error thresholds/limits. The lack of a priori terrain data in disaster sites, means that robots have to dynamically create a representation of the terrain from received sensor range-data in order to path plan. To reduce the resources used, the affect of input data on the terrain model is analysed such that some points may be culled. The issues of identifying hazards within these models are considered with respect to the affect on safe navigation.

The Cognitive Controller (CoCo) is a new, three-tiered control architecture for autonomous agents that combines reactive and deliberative components. A behaviour-based reactive module ensures that the agent can gracefully handle the various real-time challenges of its environment, while a logic-based deliberative module endows the agent with the ability to ���think ahead���, performing more complex high-level tasks that require planning. A plan execution and monitoring module establishes an advisor-client relationship between the ...

As autonomous robots become more complex in their behavior, more sophisticated software architectures are required to support the ever more sophisticated robotics software. These software architectures must support complex behaviors involving adaptation and learning, implemented, in particular, by neural networks. We present in this paper a neural based schema [2] software architecture for the development and execution of autonomous robots in both simulated and real worlds. This architecture has been developed in the context of adaptive robotic agents, ecological robots [6], cooperating and competing with each other in adapting to their environment. The architecture is the result of integrating a number of development and execution systems: NSL, a neural simulation language; ASL, an abstract schema language; and MissionLab, a schema-based mission-oriented simulation and robot system. This work contributes to modeling in Brain Theory (BT) and Cognitive Psychology, with applications i...