Results 81 to 90 of about 197,668 (326)

MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion

Advanced Science, EarlyView.
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong, Ji Ma, Yidan Lu, Jiahui Zhang, Wanyue Li, Yeke Chen, Teng Zhang, Xuechao Chen, Zhangguo Yu, Peng Lu   +9 more
wiley   +1 more source

Extended multiple-model estimator for radar maneuvering target tracking

, 2012
[[abstract]]An extended multiple-model estimator for tracking multiple maneuvering targets has been developed in this paper. In this approach, an equivalent filter bank structure is designed to solve the uncertainty problems caused by target maneuvering ...
Chung, Yi-Nung; Juang, D.-J. ; Hsu, T.-C. ; Chang, C.-H. ; Yang, M.-R. ; Hsu, S.-P.
core  

Robust Interacting Multiple Model With Modeling Uncertainties for Maneuvering Target Tracking

IEEE Access, 2019
This paper proposes an improved robust interacting multiple model (RIMM) algorithms with modeling uncertainties for maneuvering target tracking with changing dynamics. To mitigate the effects of the modeling uncertainty, a compensation step is introduced
Wonkeun Youn, H. Myung
semanticscholar   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

Heterogeneous Multiple Sensors Joint Tracking of Maneuvering Target in Clutter

, 2015
To solve the problem of tracking maneuvering airborne targets in the presence of clutter, an improved interacting multiple model probability data association algorithm (IMMPDA-MDCM) using radar/IR sensors fusion is proposed.
Xingxiu Li, Jiale Liu, Jianshou Kong, Panlong Wu   +3 more
core   +1 more source

Ultra‐Low Intensity Continuous Wave Laser Ablation Propulsion With Graphene‐Engineered Wood

Advanced Science, EarlyView.
Graphene delignified wood converts continuous wave laser energy into thrust. Laser propulsion experiments in vacuum reveal the lowest laser ablation threshold intensities and the greatest density‐normalized specific impulse in literature. The results highlight graphene delignified wood as a potential efficient, sustainable, strong, and lightweight ...
Afnan S. M. Elmubasher, Rami Elkaffas, Mohamed Hamid Salim, Basel Altawil, Chanaka Sandaruwan, Shanavas Shajahan, Ahsan Baidar Bakht, Irfan Hussain, Blaise L. Tardy, Sean S. M. Swei, Yarjan Abdul Samad   +10 more
wiley   +1 more source

A Cubature-Principle-Assisted IMM-Adaptive UKF Algorithm for Maneuvering Target Tracking Caused by Sensor Faults

Applied Sciences, 2017
Aimed at solving the problem of decreased filtering precision while maneuvering target tracking caused by non-Gaussian distribution and sensor faults, we developed an efficient interacting multiple model-unscented Kalman filter (IMM-UKF) algorithm.
Huan Zhou, Hui Zhao, Hanqiao Huang, Xin Zhao   +3 more
doaj   +1 more source

Maneuvering Target Track Prediction Model

International Journal on Cybernetics & Informatics, 2015
The issues about maneuvering target track prediction were discussed in this paper. Firstly, using Kalman filter which based on current statistical model describes the state of maneuvering target motion, thereby analyzing time range of the target maneuvering occurred. Then, predict the target trajectory in real time by the improved gray prediction model.
Qingping Yu, Xiaoming You, Sheng Liu
openaire   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

A novel strong tracking cubature Kalman filter and its application in maneuvering target tracking

Chinese Journal of Aeronautics, 2019
The fading factor exerts a significant role in the strong tracking idea. However, traditional fading factor introduction method hinders the accuracy and robustness advantages of current strong-tracking-based nonlinear filtering algorithms such as ...
An Zhang, Shuida Bao, Fei Gao, W. Bi
semanticscholar   +1 more source