Route following is defined as the ability to repeat the same route after having traversed it once under the control of a human operator. This paper presents a fast and robust appearance based route following algorithm...
ISBN:
(纸本)9780958758390
Route following is defined as the ability to repeat the same route after having traversed it once under the control of a human operator. This paper presents a fast and robust appearance based route following algorithm that utilises only monocular panoramic vision and odometry in large scale outdoor environments. Extensive experimental results have shown robustness against lighting variations and occlusion not yet demonstrated in the literature. The cumulative distance traveled by the robot in these experiments exceeds 20km and the longest repeated route is 732 meters.
In many robotic applications it is required to manipulate a specific rigid object whose CAD model is known a priori, but its position and orientation in space are unknown. This category of tasks includes piercing, pai...
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For complex robotic tasks (manipulation, locomotion, haptics, ...), the lack of knowledge of precise interaction models, the difficulties to precisely measure the task associated physical quantities (force, speed, ......
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ISBN:
(纸本)9781577353164
For complex robotic tasks (manipulation, locomotion, haptics, ...), the lack of knowledge of precise interaction models, the difficulties to precisely measure the task associated physical quantities (force, speed, ...) in real time and the non-collocation of sensors and transducers have negative effects on performance and stability of robots when using simple force or simple movement controllers. To cope with these issues, some researchers proposed a new approach named «interaction control» that refers to regulation of the robot's dynamic behavior at its ports of interaction with the environment. Interaction control involves specifying a dynamic relationship between motion and force, and implementing a control law that attempts to minimize deviation from this relationship [1]. The implementation of machines able to precisely control interaction with its environment begins with the use of actuators specially designed for that purpose. To that effect, a new compact implementation design for high performance actuators that are especially adapted for integration in robotic mechanisms is presented, this design making use of a mechanical differential as central element. Differential coupling between an intrinsically high impedance transducer and an intrinsically low impedance spring element provides the same benefits as serial coupling [4]. However differential coupling allows new interesting design implementations possibilities, especially for rotational actuators.
In this paper, we present a prototype robotic system that captures, processes and fuses speech, vision and laser-depth data to more accurately interpret and perform simple tasks in a domestic environment. We can never...
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ISBN:
(纸本)9780958758390
In this paper, we present a prototype robotic system that captures, processes and fuses speech, vision and laser-depth data to more accurately interpret and perform simple tasks in a domestic environment. We can never assume that any one of these inputs are completely accurate, but by using a combination, a more accurate interpretation could be found. For each speech, gesture recognition and object recognition input, an associated probability of correctness is calculated. Using these probabilities, a predefined associative map between specific words and gestures, and contextual information, we update the associated probability until some threshold has been reached. This contextual information includes the history of recently uttered phrases, as well as the information about known objects in the environment. Once an interpretation, complete or otherwise, is found, a response is formulated. This system has been developed using a Mitsubishi Heavy Industries robot, Wakamaru, as a platform.
Spartacus is our robot entry in the 2005 AAAI Mobile Robot Challenge, making a robot attend the National Conference on Artificial Intelligence. Designing robots that are capable of interacting with humans in real-life...
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Fault diagnosis and failure prognosis of critical dynamic systems, such as aircraft and industrial processes, rely on degradation or fatigue models and measurements typically acquired on-line in real-time. Such sensor...
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ISBN:
(纸本)9781577353478
Fault diagnosis and failure prognosis of critical dynamic systems, such as aircraft and industrial processes, rely on degradation or fatigue models and measurements typically acquired on-line in real-time. Such sensor data must be pre-processed in order to remove artifacts and improve the signal-to-noise ratio. Furthermore, they must be processed appropriately so that useful information in compact form can be extracted and used to detect incipient failures and predict the remaining useful life of failing components. We present a methodology to select an optimum feature vector from a list of candidate features, prioritize and rank them to meet set performance objectives. The enabling technologies include genetic programming tools, data fusion and model-based approaches for feature selection and extraction. We will suggest a multi-core processing environment for the efficient and expedient implementation of these technologies. Performance metrics are defined to assess the efficacy of the methodology. Typical examples from aircraft systems are used to demonstrate the proposed techniques.
In this paper a System-on-a-Chip (SoC) for the path following task of autonomous non-holonomic mobile robots is presented. The SoC consists of a digital fuzzy logic processor and a flow control program that runs under...
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In this paper a System-on-a-Chip (SoC) for the path following task of autonomous non-holonomic mobile robots is presented. The SoC consists of a digital fuzzy logic processor and a flow control program that runs under the Xilinx Microblaze™ soft processor core. The fuzzy processor implements a fuzzy path tracking algorithm introduced by the authors. The system was tied to an actual P3-DX8 robot and field experiments have been performed in order to assess the overall performance. Quantization problems and limitations imposed by the system configuration are also discussed.
The function of natural immune system is to protect the living organisms against invaders/pathogens. Artificial Immune System (AIS) is a computational intelligence paradigm inspired by the natural immune system. Diver...
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Knowledge elicitation is difficult for expert systems that are based on probability theory. The elicitation of probabilities for a probabilistic model requires a lot of time and interaction between the knowledge engin...
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Initially introduced as a model-free control design method, in today practice fuzzy control is dominantly used as yet another nonlinear control technique based either on a linear or nonlinear model of a process. This ...
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Initially introduced as a model-free control design method, in today practice fuzzy control is dominantly used as yet another nonlinear control technique based either on a linear or nonlinear model of a process. This paper addresses the stability assessment of a fuzzy logic control system based only on the partial knowledge of a controlled process. Lyapunov stability conditions are derived and analyzed by using fuzzy numbers and fuzzy arithmetic. The experimental results obtained for a non-stable second-order system confirmed that this approach could be successfully implemented. Some questions, addressed in the paper, remained open for further investigation.
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