Estimating 3D keypoints of an object has achieved considerable interest, especially in computer graphics and ma-chine vision. the complexity of the problem increases when the object is noisy, decimated, or partially o...
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In this paper, a new probabilistic path planning algorithm is described. the algorithm has been developed for assembly planning purposes, but however it can also be used in similar scenarios. Most assembly planning al...
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ISBN:
(纸本)9781617387197
In this paper, a new probabilistic path planning algorithm is described. the algorithm has been developed for assembly planning purposes, but however it can also be used in similar scenarios. Most assembly planning algorithms apply the so called assembly-by-disassembly strategy, therewith planning starts from the goal position of parts and tries to remove single parts or group of parts. Such problems are characterized by the appearance of many narrow passages. thus, we have developed an probabilistic algorithm able to find paths even if many of such passages exist. the idea of our path planner emanates from the particle In each iteration, it propagates new samples, discards bad evaluated samples and assigns higher weights to good examples. the evaluation functions propagates the samples to explore free space as well as to condensate on the border of obstacles, which leads samples to pass narrow passages. We have evaluated our path planning algorithm with different examples and compared it to the well-known RRT and PRMplanners. We could achieve good execution times for realistic industrial assembly tasks.
LiDAR semantic segmentation provides 3D semantic information about the environment, an essential cue for intelligent systems, such as autonomous vehicles, during their decision making processes. Unfortunately, the ann...
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ISBN:
(纸本)9789897585227
LiDAR semantic segmentation provides 3D semantic information about the environment, an essential cue for intelligent systems, such as autonomous vehicles, during their decision making processes. Unfortunately, the annotation process for this task is very expensive. To overcome this, it is key to find models that generalize well or adapt to additional domains where labeled data is limited. this work addresses the problem of unsupervised domain adaptation for LiDAR semantic segmentation models. We propose simple but effective strategies to reduce the domain shift by aligning the data distribution on the input space. Besides, we present a learningbased module to align the distribution of the semantic classes of the target domain to the source domain. Our approach achieves new state-of-the-art results on three different public datasets, which showcase adaptation to three different domains.
the seven-degree-of-freedom (7dof) collaborative robot is a type of nonlinear system with multiple inputs, multiple outputs, parameter uncertainties, external disturbances and unmodeled dynamics. Due to the external d...
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this paper describes a knowledge integration framework for robotics, whose goal is to represent, store, adapt, and distribute knowledge across engineering platforms. the architecture abstracts the components as data s...
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ISBN:
(纸本)9781617387197
this paper describes a knowledge integration framework for robotics, whose goal is to represent, store, adapt, and distribute knowledge across engineering platforms. the architecture abstracts the components as data sources, where data are available in the automationML data exchange format. automationML is an on-going standard initiative that aims at unifying data representation and APIs used by engineering tools. A triplification procedure converts native formats used by data sources into RDF triples and then exposes them via a SPARQL endpoint. the triplification step has been implemented for the CAEX top level and logic data parts of automationML, where the conversion uses XSLT rules.
Wearable robots, such as powered prostheses and active exoskeletons, often rely on electric motors for actuation. Emulating biological joint angle and torque profiles requires special sensors, high peak power and adva...
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ISBN:
(纸本)9781509032877
Wearable robots, such as powered prostheses and active exoskeletons, often rely on electric motors for actuation. Emulating biological joint angle and torque profiles requires special sensors, high peak power and advanced real-time controls. Safety is paramount and fail-safe circuits are required to detect and correct problematic situations. A smaller, lighter circuit can lead to a more efficient and affordable robot. Few commercial motor drivers accommodate all of these requirements. In this paper we present FlexSEA-Execute (Figure 1), the advanced motion controller part of FlexSEA, the FLEXible, Scalable Electronics Architecture designed for wearable robotic applications. At 36cm(3) and 34.8g, this PSoC-based design integrates a 8A/25A (continuous/pulse) brushed/brushless motor driver, a safety co-processor, multi-drop RS-485, a strain gauge amplifier, a 6-axis inertial motion unit (IMU), USB, and a programmable expansion connector.
the prospect of using humanoid robots in practical applications attracts an important research effort and the latest steps forward in robot technology show many remarkable achievements where design aspects, control sy...
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the prospect of using humanoid robots in practical applications attracts an important research effort and the latest steps forward in robot technology show many remarkable achievements where design aspects, control systems and software evolution regarding humanoid machines have been realised. While aiming to improve humanoid robots' overall performance, it is required that they could work for a long time spending minimum energy without losing their kinematic skills. In this direction, a new kind of non-linear actuator, SMART, based on quasi-resonance principle, has been developed by the Industrial automation Institute to improve the overall performance of biped locomotion.
Aspects of the mechatronic design and prototyping of a robot designed and realized withthe quasiholonomy property are discussed here. After an overview of the motivation and applications of the project at hand, we sh...
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ISBN:
(纸本)9781424406012
Aspects of the mechatronic design and prototyping of a robot designed and realized withthe quasiholonomy property are discussed here. After an overview of the motivation and applications of the project at hand, we show how we faced the challenges encountered in the mechatronic design and implementation of the prototype. the actuation system and power supply dimensioning are then described, along withthe selection of the on-board control unit and programming of the real-time operating system. Advantages of quasiholonomic robotic systems are substantiated.
the design method capable of considering the influence factors related to control and structural design systems under conditions that simultaneously satisfy multi-objective performances over boththe systems is invest...
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Medical imaging data is crucial in robotics-assisted diagnostics and interventions, particularly in neurology. Ensuring the security and privacy of this sensitive data is increasingly challenging in the context of rob...
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