A typical concern in robotics is to assess if it is possible to keep a robot inside a set of safe states, e.g., an autonomous car that must stay on the road. that is closely tied withthe problem of computing the viab...
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In India the number of two-wheelers is greater than the cardinal number of parking spots available, hence people tend to park their vehicles at undesignated spots and open spaces which increases the risk of damage to ...
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Brain Computer Interface (BCI) could be used as an effective tool for active engagement of patients in motor rehabilitation by enabling them to initiate the movement by sending the command to BCI directly via their br...
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ISBN:
(纸本)9781509032877
Brain Computer Interface (BCI) could be used as an effective tool for active engagement of patients in motor rehabilitation by enabling them to initiate the movement by sending the command to BCI directly via their brain. In this paper, we have developed a BCI using novel EEG analysis to control a Virtual Reality avatar and a Soft robotics rehabilitation device. this BCI is able identify and predict the upper limb movement. Autocorrelation analysis was done on EEG to study the complex oscillatory processes involved in motor command generation. Autocorrelation represented the interplay between oscillatory and decaying processes in EEG which change during voluntary movement. To investigate these changes, the exponential decay curve was fitted to the autocorrelation of EEG windows which captured the autocorrelation decay. It was observed that autocorrelation decays slower during voluntary movement and fast otherwise, thus, movement intention could be identified. this new method was translated into online signal processing for BCI to controlthe virtual avatar hand and soft robotic rehabilitation device by intending to move an upper limb. the soft robotic device placed on the joint between upper and the lower arm inflated and deflated resulting to extension and flexion of the arm providing proprioceptive feedback. Avatar arm viewed in virtual 3D environment with Oculus Rift also moved simultaneously providing a strong visual feedback.
A brief and historical overview of research and development in the field of artificial neural network based electronic nose system is presented. Electronic-nose devices have received considerable attention in the fiel...
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ISBN:
(纸本)9781424478132
A brief and historical overview of research and development in the field of artificial neural network based electronic nose system is presented. Electronic-nose devices have received considerable attention in the field of sensor technology during the past twenty years, largely due to the discovery of numerous applications derived from research in diverse fields of applied sciences. Electronic/artificial noses are being developed as systems for the automated detection and classification of odors, vapors, and gases. An electronic nose is generally composed of a chemical sensing system (e. g., sensor array or spectrometer) and a pattern recognition system (e. g., artificial neural network). We are developing electronic noses for the automated identification of volatile chemicals for environmental, medical applications, commercial industries, including the agricultural, biomedical, cosmetics, food, manufacturing, military, pharmaceutical, regulatory applications and various scientific research fields. this paper is a review of the major electronic nose technologies, developed since this specialized field was born and became prominent in the mid 1980s, and a summarization of some of the more important and useful applications that have been of greatest benefit to man.
In order to satisfy the requirement that Cartesian space trajectory planning requires high real-time calculation of inverse kinematics of the manipulator, the analytical solution method is used to calculate the invers...
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the concept of Deep Level Situation Understanding is proposed to realize human-like natural communication among agents (e.g., humans and robots/machines), where it consists of surface level understanding (such as gest...
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ISBN:
(纸本)9789898565716
the concept of Deep Level Situation Understanding is proposed to realize human-like natural communication among agents (e.g., humans and robots/machines), where it consists of surface level understanding (such as gesture/posture recognition, facial expression recognition, and speech/voice recognition), emotion understanding, intention understanding, and atmosphere understanding by applying customised knowledge of each agent and by taking considerations to careful attentions. It aims to not impose burden on humans in human-machine communication, to realize harmonious communication by excluding unnecessary troubles or misunderstandings among agents, and finally to create a peaceful, happy, and prosperous humans-robots society. A scenario is established to demonstrate several communication activities between a businessman and a secretary-robot/a human-boss/a waitress-robot/a human-partner/a therapy-robot (PARO) in one day.
As drivers approach a road intersection, they must decide whether to cross it or to come to a stop. For this purpose, drivers make a situation assessment and adapt their behaviour accordingly. When this task is perfor...
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ISBN:
(纸本)9781538695821
As drivers approach a road intersection, they must decide whether to cross it or to come to a stop. For this purpose, drivers make a situation assessment and adapt their behaviour accordingly. When this task is performed by a computer, the available information is partial and uncertain. Any decision requires the system to use this information as well as taking into account the behaviour of other drivers to avoid collisions. Common metrics such as collision rate can remain low in an interactive environment because of other driver's actions. Consequently, evaluation metrics must depend on other driving aspects. In this paper a decision-making mechanism and metrics to evaluate such a system at road intersection crossing are presented. For the former, a Partially Observable Markov Decision Process is used to model the system with respect to uncertainties in the behaviour of other drivers. For the latter, different key performance indicators are defined to evaluate the resulting behaviour of the system with different configurations and scenarios. the approach is demonstrated within an automotive grade simulator. It has showed at times, that whilst the vehicle can cross safely the intersection, it might not satisfy other key performance indicators related to highway code.
Cable driven parallel manipulator are known by their low costs and numerous applications. However despite of all research interests and developed methods they are not yet vastly used in action. the reason for this, is...
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ISBN:
(纸本)9781728101279
Cable driven parallel manipulator are known by their low costs and numerous applications. However despite of all research interests and developed methods they are not yet vastly used in action. the reason for this, is their limiting requirements for accurate assembly and installation process. the main goal of this paper is to propose a suitable control method by which the robot could appropriately be controlled, requiring no accurate calibrations or precise sensors. As it is well known, uncertainty in kinematics equations can lead to loose cables in redundant robots controlled through joint space controllers. In this paper a simple but very effective joint space controller is proposed that addresses the problem of loose cables by a wave based control method by employing a novel force feedback scheme. Indeed, a new conceptual framework for controlling deployable cable driven parallel manipulators is introduced by which such robots are greatly empowered at real-world scenarios. Finally, the performance of the proposed controller and its effectiveness is verified through some practical experiments showing that the proposed controller outperforms conventional cascade topologies in terms of much smoother tracking performance.
the proceedings contain 159 papers. the topics discussed include: learning to predict action based on b-ultrasound image information;gait planning and control of hexapod robot based on velocity vector;a review of bila...
ISBN:
(纸本)9780738133645
the proceedings contain 159 papers. the topics discussed include: learning to predict action based on b-ultrasound image information;gait planning and control of hexapod robot based on velocity vector;a review of bilateral teleoperation control strategies with soft environment;a swing-foot trajectory generation method for biped walking;adaptive admittance control based on linear quadratic regulation optimization technique for a lower limb rehabilitation robot;a three-dimensional path planning method of autonomous burrowing robot for lunar subsurface exploration;and ground reaction force estimation in robotic prosthesis using super-twisting extended state observer.
A method based on MD-H model is proposed to establish the geometric parameter error model of SCARA robot and carry out error compensation. In this paper, by analyzing the causes of robot positioning accuracy error, th...
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