Managing the bandwidth requirements of a team of robots operating cooperatively is an ubiquitous and commonly overlooked problem, despite being a crucial issue in the successful deployment of robotic teams. As the tea...
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We present an approach to track a point cloud with a 3D camera system with low latency and/or high frame rate, based on ground truth provided by a second 3D camera system with higher latency and/or lower frame rate. I...
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We present an approach to track a point cloud with a 3D camera system with low latency and/or high frame rate, based on ground truth provided by a second 3D camera system with higher latency and/or lower frame rate. In particular, we employ human tracking based on Kinect cameras and combine it with higher frame-rate/lower latency of Time-of-Flight (ToF) cameras. We present the system setup, methods used and evaluation results showing a very high accuracy in combination with a latency reduction of up to factor 30.
Robots should avoid potential failure situations to safely execute their actions and to improve their performances. For this purpose, they need to build and use their experience online. We propose online learning-guid...
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Robots should avoid potential failure situations to safely execute their actions and to improve their performances. For this purpose, they need to build and use their experience online. We propose online learning-guided planning methods to address this problem. Our method includes an experiential learning process using Inductive Logic Programming (ILP) and a probabilistic planning framework that uses the experience gained by learning for improving task execution performance. We analyze our solution on a case study with an autonomous mobile robot in a multi-object manipulation domain where the objective is maximizing the number of collected objects while avoiding potential failures using experience. Our results indicate that the robot using our adaptive planning strategy ensures safety in task execution and reduces the number of potential failures.
There is a continuous research effort worldwide to improve the reliability, efficiency, and accuracy of numerical computations in various domains. One of the most promising research avenues is to exploit the structura...
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There is a continuous research effort worldwide to improve the reliability, efficiency, and accuracy of numerical computations in various domains. One of the most promising research avenues is to exploit the structural properties of the mathematical problems to be solved. This paper investigates some numerical algorithms for the solution of common and structured eigenproblems, which have many applications in automatic control (e.g., linear-quadratic optimization and H ∞ -optimization), but also in various areas of applied mathematics, physics, and computational chemistry. Of much interest is to find the eigenvalues and certain deflating sub-spaces, mainly those associated to the stable eigenvalues. Several simple examples are used to highlight the pitfalls which may appear in such numerical computations, using state-of-the-art solvers. Balancing the matrices and the use of condition numbers for eigenvalues are shown to be essential options in investigating the behavior of the solvers and problem sensitivity.
Cleaning accumulated dusts inside air ventilation ducts of underground facilities is an essential process to improve indoor air quality, especially at the underground facilities such as subway platforms. Therefore, va...
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Cleaning accumulated dusts inside air ventilation ducts of underground facilities is an essential process to improve indoor air quality, especially at the underground facilities such as subway platforms. Therefore, various autonomous mobile duct cleaning robots have been actively studied to be applied at the closed space of the ventilation duct. In this paper, the four wheeled skid steering mobile platform with rotating brusharms has been developed and proposed an effective skid steering control technique under changeable center of mass (CM) of the platform. The shifted CM of the platform and unstable disturbances acting on the rotating brushes from cleaning surfaces can change the dynamic steering characteristics of the platform. Therefore, this paper also proposes a new integrated backstepping and I-PD controller for stable trajectory tracking of the platform and proves the effects of the controller through simulations.
This paper presents details on the implementation of evolving Takagi-Sugeno-Kang (TSK) fuzzy models of a nonlinear process represented by the pendulum dynamics in the framework of the representative pendulum-crane sys...
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This paper presents details on the implementation of evolving Takagi-Sugeno-Kang (TSK) fuzzy models of a nonlinear process represented by the pendulum dynamics in the framework of the representative pendulum-crane systems. The pendulum angle is the output variable of the TSK fuzzy models that are obtained by online identification. The rule bases and the parameters of the TSK fuzzy models are continuously evolved by an online identification algorithm (OIA) that adds new rules with more summarization power and modifies the existing rules and parameters. The OIA is associated with an input selection algorithm that guides the modelling in terms of ranking the inputs according to their importance factors. Three TSK fuzzy models evolved by the OIA are exemplified. The performance of the new evolving TSK fuzzy models is illustrated by experimental results conducted on pendulum-crane laboratory equipment.
Welcome to the Proceeding of 2nd internationalconference on Information Technology Systems and Innovation (ICITSI) 2015. The internationalconference was held in Bandung, 16 – 17 November 2015 and continued in Bali,...
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Welcome to the Proceeding of 2nd internationalconference on Information Technology Systems and Innovation (ICITSI) 2015. The internationalconference was held in Bandung, 16 – 17 November 2015 and continued in Bali, 18 – 19 November 2015. ICITSI 2015 is hosted by School of Electrical Engineering and informatics, Institute of Technology Bandung, and sponsored by IEEE Indonesia Joint Chapter of control System Society/robotics & automation Society (CSS/RAS), and IEEE Indonesia Join Chapter of Education Society/Electron Devices Society/Power Electronics Society/Signal Processing Society.
robotics is considered to be a powerful tool for teaching STEM especially when employing white-box platforms to build and program robots. In this context, programming environments should be simple and understandable f...
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robotics is considered to be a powerful tool for teaching STEM especially when employing white-box platforms to build and program robots. In this context, programming environments should be simple and understandable for increasing the learning success and for easing the entry for teachers with non-informatics background. Furthermore, many robotics applications can also benefit from flexibility in the program deployment in contrast to the usual code-compile-download paradigm. To address these issues, this paper presents a flexible programming environment based on a layered robot control architecture, which involves the usage of mobile devices. Source code created on a smartphone or tablet can be downloaded to the robot controller, which organizes the programs having on-board compilation and execution environments. Besides, a versioning system adds to the comfort. The presented approach enables students to intuitively handle their robots, but can also be applied in more sophisticated scenarios where module-based flexible programming is required.
This paper presents a simple algorithm for controlling robot trajectory that accounts for the torsion angle of a castor wheel. We identify the dynamics of the castor wheel as a plant of the second order inertia and th...
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ISBN:
(纸本)9781479987023
This paper presents a simple algorithm for controlling robot trajectory that accounts for the torsion angle of a castor wheel. We identify the dynamics of the castor wheel as a plant of the second order inertia and then we successfully apply this information in the PWM (Pulse Width Modulation) regulator.
In this paper we discuss the concept of co-adaptation between a human operator and a machine interface and we summarize its application with emphasis on two different domains, teleoperation and assistive technology. T...
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In this paper we discuss the concept of co-adaptation between a human operator and a machine interface and we summarize its application with emphasis on two different domains, teleoperation and assistive technology. The analysis of the literature reveals that only in a few cases the possibility of a temporal evolution of the co-adaptation parameters has been considered. In particular, it has been overlooked the role of time-related indexes that capture changes in motor and cognitive abilities of the human operator. We argue that for a more effective long-term co-adaptation process, the interface should be able to predict and adjust its parameters according to the evolution of human skills and performance. We thus propose a novel approach termed progressive co-adaptation, whereby human performance is continuously monitored and the system makes inferences about changes in the users' cognitive and motor skills. We illustrate the features of progressive co-adaptation in two possible applications, robotic telemanipulation and active vision for the visually impaired.
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