To exactly detect the water ice of the South Pole of the moon, a lunar regolith in-situ analysis payload deploying a mass spectrometer is proposed for China future lunar exploration missions. In order to receive the l...
To exactly detect the water ice of the South Pole of the moon, a lunar regolith in-situ analysis payload deploying a mass spectrometer is proposed for China future lunar exploration missions. In order to receive the lunar regolith sample from a robotic arm with a soil sampler and transfer it into a furnace for further analysis, a sample manipulation mechanism is required during the above work flow. To solve the problems of adapting the sampler’s docking accuracy, receiving and transferring two different types of lunar soil sample under times of in-situ analysis, etc., a sample repetitive manipulation mechanism (SRMM) is proposed in this paper. By using a floating adjustable docking components and a flexible hopper, two types of encapsulated regolith sample and bulk material sample can be received with minimal sample loss, respectively. In order to receive and transfer two types of samples multiple times, two sample receiving methods have been designed that can be repeatedly transferred. A worm and worm wheel combined with a ball screw is designed in SRMM. To verify the above mechanism design, validation experiments were conducted. It indicates that this novel SRMM can be deployed in the future mission after further environmental tests.
One of the fundamental requirements for the success of a manipulation task is the capacity to handle the interaction between manipulator and environment. However, there are many uncertain factors during the interactio...
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ISBN:
(纸本)9781665405362
One of the fundamental requirements for the success of a manipulation task is the capacity to handle the interaction between manipulator and environment. However, there are many uncertain factors during the interaction, such as the shape of objects, contact stiffness, and external interference. The performance of force control pursues fast-response and robustness, but it is not an effective solution to apply the traditional impedance control to track force in an uncertain environment. Herein, an adaptive force control architecture is proposed, which has the capability to compensate for environmental uncertainties. Simulations and experiments of tracking constant/variable desired force in constant/variable stiffness environment and on an unknown shape surface are carried out. The proposed approach is contrasted with some classic methods in the indexes of overshoot, transient response, tracking error, and robustness. The results comparison confirms that the proposed control law is superior in fast-response and robustness in uncertain environments.
Miniature piezoelectric actuators (MPAs) have been extensively investigated owing to their gram-scale mass, sub-micrometer resolution, and milliwatt-range power consumption. However, improving their output characteris...
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With the increase of defunct satellites, the orbit resource of the Earth is becoming more and more shortage. As one of the key technologies, the capture of non-cooperative targets has become a research hotspot. Due to...
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Heavy-load transfer robots are widely used in automobile production and machinery manufacturing to improve production *** order to meet the needs of large billet transfer,a 4-DOF transfer robot is designed in this pap...
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Heavy-load transfer robots are widely used in automobile production and machinery manufacturing to improve production *** order to meet the needs of large billet transfer,a 4-DOF transfer robot is designed in this paper,which consists of parallel four-bar *** Jacobian matrix referring to the mapping matrix from the joint velocity to the operating space velocity of the transfer robot can be solved by the differential-vector *** mean value of the Jacobian matrix condition number in the workspace is used as the global performance index of the robot velocity and the optimization *** constraint condition is established based on the actual working *** the linkage length optimization is carried out to decrease the length of the linkage and to increase the global performance index of *** total length of robot rods is reduced by 6.12%.The global performance index of velocity is improved by 45.15%.Taking the optimized rod length as the mechanism parameter,the distribution of the motion space of the transfer robot is ***,the results show that the proposed method for establishing the Jacobian matrix of the lower-mobility robot and for the optimization of the rods based on the velocity global performance index is accurate and *** workspace distribution of the robot meets the design requirements.
Bioinspired superhydrophobic surfaces have attracted many industrial and academic interests in recent *** by unique superhydrophobicity and anisotropic friction properties of snake scale surfaces,this study explores t...
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Bioinspired superhydrophobic surfaces have attracted many industrial and academic interests in recent *** by unique superhydrophobicity and anisotropic friction properties of snake scale surfaces,this study explores the feasibility to produce a bionic superhydrophobic stainless steel surface via laser precision engineering,which allows the realization of directional superhydrophobicity and dynamic control of its water *** mechanism of water sliding on hierarchical snake scale structures is studied,which is the key to reproduce artificially bioinspired multifunctional materials with great potentials to be used for water harvesting,droplet manipulation,pipeline transportation,and vehicle acceleration.
This study presents an enhanced theoretical formulation for bipedal hierarchical control frameworks under uneven terrain conditions. Specifically, owing to the inherent limitations of the Linear Inverted Pendulum Mode...
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While most micro-robots face difficulty traveling on rugged and uneven terrain, beetles can walk smoothly on the complex substrate without slipping or getting stuck on the surface due to their stiffness-variable tarsi...
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Real-time and high-performance 3D object detection is of critical importance for autonomous driving. Recent top-performing 3D object detectors mainly rely on point-based or 3D voxel-based convolutions, which are both ...
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