In this paper we will present our open-source robotics software RobWork. the main objective is not to provide a detailed description of our system and compare it to related projects, but to highlight selected features...
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ISBN:
(纸本)9781617387197
In this paper we will present our open-source robotics software RobWork. the main objective is not to provide a detailed description of our system and compare it to related projects, but to highlight selected features for which we will share our experiences and the considerations behind. the foundation on which we have made design decisions is not only from our own experiences and the 4 years of developing and applying RobWork in research applications. Equally important has also been the feedback from industrial collaborators, which have used the system and with whom we have discussed requirements, use-cases and prioritized the development. Last but not least we have received feedback from hundreds of students, which have used RobWork in their education.
Smooth Trajectories are essential for safe interaction in between human and a haptic interface. Different methods and strategies have been introduced to create such smooth trajectories. this paper studies the creation...
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ISBN:
(纸本)0780372727
Smooth Trajectories are essential for safe interaction in between human and a haptic interface. Different methods and strategies have been introduced to create such smooth trajectories. this paper studies the creation of human-like movements in haptic interfaces, based on the study of human arm motion. these motions are intended to retrain upper limb movements of patients that lose manipulation functions following stroke. We present a model that uses higher degree polynomials to define a trajectory and controlthe robot arm to achieve minimum jerk movements. It also studies different methods that can be driven from polynomials to create more realistic human-like movements for therapeutic purposes.
Swarm robotics is a field of research inspired from how a biological system coordinates in a distributed and decentralized fashion. this distributed autonomous control mechanism makes swarm robotics a better alternati...
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ISBN:
(纸本)9781467382861
Swarm robotics is a field of research inspired from how a biological system coordinates in a distributed and decentralized fashion. this distributed autonomous control mechanism makes swarm robotics a better alternative for mobile surveillance application. this paper presents a swarm intelligence algorithm to detect intrusion on a land under surveillance. the system consists of hundreds of robots governed by a set of decentralized control laws. Social Potential Field, a popular approach for distributed autonomous control, is used for the controlling motion of every robot in a swarm. Since intrusion is highly dynamic in nature, a parameter optimization approach using online gradient descent is introduced to make intrusion detection and response fast and effective. An artificial simulation environment consisting of Guard robots, Castle and Invader is created to verify the working of the proposed approach. Computer simulation results are presented for illustration and a comparison is made withthe results obtained when the system lacks the ability to adapt to the changing surrounding environment.
this paper deals withthe problem of torque ripple minimization of permanent magnet synchronous motor. the novelty of the presented approach lays in precisely maintain the level of the voltage source inverter DC volta...
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ISBN:
(纸本)9789897580390
this paper deals withthe problem of torque ripple minimization of permanent magnet synchronous motor. the novelty of the presented approach lays in precisely maintain the level of the voltage source inverter DC voltage demanded for proper operation of the motor. An additional voltage matching circuit with state feedback controller is introduced in order to control of the inverter DC voltage. In the proposed solution model of a plant (i.e. permanent magnet synchronous motor fed by voltage source inverter with additional voltage matching circuit) is non-linear and non-stationary. An adaptive state feedback controller is developed by using an artificial neural network, which approximates non-linear control gain surfaces. A simple adaptation algorithm based on 2 low-order low-pass filters is used. Simulation results illustrate the proposed approach in comparison to typical drive with voltage source inverter and stationary state feedback controller.
this paper presents a comparative study on various reaching laws within the sliding mode control approach for electrohydraulic active suspension systems under complex road conditions. Unlike traditional single bump pr...
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ISBN:
(纸本)9798350352481;9798350352474
this paper presents a comparative study on various reaching laws within the sliding mode control approach for electrohydraulic active suspension systems under complex road conditions. Unlike traditional single bump profiles, this study evaluates the performance of constant, exponential, and power reaching laws with scenarios involving a speed bump, a pothole, and a sidewalk. the objective is to enhance vehicle handling and passenger comfort. To address chattering in sliding mode controllers, we explore exponential and power reaching laws. Performance metrics for road holding and passenger comfort are compared withthose of a traditional PID control. Simulation results indicate that the exponential reaching law excels in both position and force control, potentially negating the need for hybrid control when used alone. However, hybrid control is necessary for constant rate or power rate reaching laws.
For small robots as used in service or humanoid robotics, miniature drive systems with high functional density are needed. A novel motor series with a very rugged design, high power density and a low slope of the n/M-...
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ISBN:
(纸本)9781617387197
For small robots as used in service or humanoid robotics, miniature drive systems with high functional density are needed. A novel motor series with a very rugged design, high power density and a low slope of the n/M-curve is presented. Encoder systems to be fitted withthe motor are also discussed: Magnetic single chip absolute encoders are compared to linear hall sensors with appropriate signal processing up to 3000 steps per revolution. Finally, a CANopen-compatible motion controller is shown that could be reduced in size to fit into an encoder housing, not protruding over the 22 mm diameter of the motor. With intelligent components tailored to each other, a miniature drive system with highest functional density can be created.
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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In this paper, a co-simulation framework is presented that seamlessly integrates design and simulation tools used for robotic systems from different vendors in addition to the designer own developed tools. this way th...
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ISBN:
(纸本)9781617387197
In this paper, a co-simulation framework is presented that seamlessly integrates design and simulation tools used for robotic systems from different vendors in addition to the designer own developed tools. this way the individual parts or components of the robotic system no longer need to be designed apart from each other. Furthermore, integrated cosimulation facilitates developing the integration methodology for the design, test and parameter optimization of these components. the presented framework is adopted to build and analyse the model of a six-legged space robot. the trajectory tracking and controller design of its joint actuators are also tuned based on it.
An adaptive fuzzy logic control scheme is developed for tracking a square trajectory by the endpoint of a two-link rigid joint space robot. the control strategy is based on a direct adaptive control scheme in which th...
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ISBN:
(纸本)9781457709142
An adaptive fuzzy logic control scheme is developed for tracking a square trajectory by the endpoint of a two-link rigid joint space robot. the control strategy is based on a direct adaptive control scheme in which the controller gains are adapted in real-time according to fuzzy logic systems such that the tracking errors between a reference model and the actual robot system outputs are brought to zero.
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.
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