The challenges to solving the collision avoidance problem lie in adaptively choosing optimal robot velocities complex scenarios full of interactive obstacles. In this letter, we propose a distributed approach for multi-robot navigation which combines concept reciprocal velocity obstacle (RVO) and scheme deep reinforcement learning (DRL) solve under limited information. novelty work is threefold: (1) using set sequential VO RVO vectors represent environmental states static dynamic obstacles,...

To obtain precise positional information, in this study, we propose an adaptive expectation–maximization (EM)-based Kalman filter (KF)/finite impulse response (FIR) integrated for inertial navigation system (INS)-based posture capture of human upper limbs. Initially, a data fusion model wrist and elbow position is developed. Subsequently, the Mahalanobis distance utilized to evaluate performance filter. The employs EM-based KF enhance noise estimation accuracy when declines. Conversely, upon...

In recent years, pedestrian tracking algorithms have witnessed extensive utilization in various domains. Particularly noteworthy is the attention garnered by hospital due to its potential enhance operational efficiency and patient's safety. The continuously stable accurate patients' position information can help hospitals guarantee that patients remain within designated areas get timely assistance when necessary. this work, order improve robustness of data fusion filter for tracking, one...

The major challenges of collision avoidance for robot navigation in crowded scenes lie accurate environment modeling, fast perceptions, and trustworthy motion planning policies. This paper presents a novel adaptive model based reinforcement learning (i.e., AEMCARL) framework an unmanned to achieve collision-free motions challenging scenarios. novelty this work is threefold: (1) developing hierarchical network gated-recurrent-unit (GRU) modeling; (2) perception mechanism with attention...

An artificial neural network fatigue life prediction model with single hidden layer was built under Matlab environment. Three independent variables: asphalt content, air void, and strain level, one outcome: life, were included in this model. Four point bending test carried out different conditions to obtain training data for network, a total of 27 sets samples organized training. The R2 the 0.91. To make comparison, same used fit empirical predicting Analysis exhibited that better than...

For the problem of uneven illumination image in underground coal mine, we have carried on deep research to common several kinds enhancement theory, which can improve visual effect image. Then, analyzed relative parameters spatial statistical properties gray scale images. At last, make an objective evaluation quality. The theory analyses and experiments show that method histogram equalization achieve satisfactory results dealing with contrast is not very low or intensity distribution relatively dense.

In general, an advanced control strategy is necessary for electro-hydraulic servo system to obtain fast and accurate response. A novel scheme called PID sliding mode was proposed by combining conventional strategy. The linear dynamic of established precisely. law deduced in detail. chattering problem caused original weakened a continuous algorithm. simulation results demonstrated the effectiveness method.

To obtain accurate position information, herein, a one-assistant method involving the fusion of extreme learning machine (ELM)/finite impulse response (FIR) filters and vision data is proposed for inertial navigation system (INS)-based human motion capture. In method, when available, vision-based considered as input to an FIR filter that accurately outputs position. Meanwhile, another using INS data. ELM used build mapping between output corresponding error. When are unavailable, provide...

To realize green agriculture must farm machinery design and the life cycle of supply chain management, this paper focused on China's existing agricultural design, production, use, management teaching, discusses use really method.

Full body scanning plays an important role in automated industrial manufacture and inspection. It requires the fusion of multi-view point cloud data consumes large computational resources when geometry corresponding clouds are unknown. Structured Light Illumination (SLI) is one most promising indoor 3D imaging techniques, but also has same weakness for fusing clouds. This work proposes a mobile SLI system to alleviate this problem full scanning. We derive geometric relation between phase...

Structured Light Illumination (SLI) systems have been used for reliable indoor dense 3D scanning via phase triangulation. However, mobile SLI 360 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula> reconstruction demand point cloud registration, involving high computational complexity. In this letter, we propose a based Simultaneous Localization and Mapping (Phase-SLAM)...

In traditional hulling machine, The lower of shelling rate and higher breakage castor. self-designed machine is adopted in this issue to study the prosess capsule hulling. By analyzing state, As gap between rollers reaches minimum space, distortion from roller surface maximum, as same both pressure on castor-oil plants P friction force F which indicates strongest effect extrusion rubbing. required condition rolling that angel rolling（ ） should be no larger than frictional roller（ ）. highest...

Based on the students spelling errors frequently in assessment of curriculum design, this article using method similarity degree string matching between error and keyword, then assess pros cons procedure. First, paper introduces a simple algorithm keywords as core. Because its limitations, discusses based semantic tree. It analyzes both cases be same or different character number two strings detail. Finally, provides specific example to verify feasibility accuracy algorithm.

The active scene flow estimation technology aims at higher quality of data through actively changing the ego-vehicle's trajectory as well sensor observation position. major challenges for 3D point cloud autonomous driving (AD) include mis-registrations frames, inaccurate prediction, and inefficient similarity evaluation. This paper presents a framework AD applications, which consists three main modules: robust estimation, reliable reachable area detection, efficient position decision....

The scene flow estimation aims at accurately achieving the motion of 3D points, imposing challenges like mis-registration, object occlusions, and non-uniform upsampling. This paper introduces a framework featuring unified estimator, symmetric cost volume approach, geometric/semantic feature based upsampling strategy. novelty this work is threefold: (1) developing novel progressive which integrates module enhancing estimation; (2) inter-frame correlation extraction method through using...

Mine gas system largely determines the safety of coal mine. Therefore, it is great practical significance to evaluate mine accurately. This study aims establish a scientific evaluation and improve In this paper, evaluated accurately; besides, selecting method index system, construction mathematical model grade are determined according actual situation. The established by using analytic hierarchy process; weight calculated maximum eigenvalue. consistency test indexes also passed. Finally,...