Results 101 to 110 of about 22,175 (290)

Soft Robotics and Advanced Technologies for Minimally Invasive Bioprinting: The Future of Internal Organ Repair

Advanced Science, EarlyView.
This review examines the evolution of bioprinting toward minimally invasive in situ strategies for internal organ regeneration. It defines the technological roadmap from handheld systems to advanced minimally invasive bioprinting platforms, positioning soft robotics as a core enabler.
Duc Tu Vu, Nhu An Phan, Sy Trung Ngo, Minh Tri Phan, Thanh‐An Truong, Chi Cong Nguyen, Phuoc Thien Phan, Hoang‐Phuong Phan, Thanh Nho Do, Mai Thanh Thai   +9 more
wiley   +1 more source

Tracking algorithm of powered phase of multi-stage ballistic missile based on improved adaptive "current" statistical model

Xibei Gongye Daxue Xuebao
This paper is devoted to an improved adaptive "current" statistical(CS) model, aiming to improve the accuracy and robustness of tracking the powered phase of multi-stage ballistic missiles under unknown ballistic parameters. By introducing the Jerk model
YANG Ming, MENG Zhongjie, JIANG Ruiye, SHI Haobo, Chen Jianlin   +4 more
doaj   +1 more source

Variational Bayesian Algorithms for Maneuvering Target Tracking with Nonlinear Measurements in Sensor Networks. [PDF]

Entropy (Basel), 2023
Hu Y, Pan Q, Deng B, Guo Z, Li M, Chen L.   +5 more
europepmc   +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 Adaptive Robust Cubature Kalman Filter for Maneuvering Target Tracking with Model Uncertainty and Abnormal Measurement Noises. [PDF]

Sensors (Basel), 2023
Ye X, Wang J, Wu D, Zhang Y, Li B.
europepmc   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Considerations in lunar landmark sighting and recommended techniques - Project Apollo [PDF]

Lunar landmark sighting techniques for Apollo command service ...
Simon, E. H., Jr.
core   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Optimizing Underwater Passive Maneuvering Target Tracking With Innovative Radial Basis Function Deep Neural Paradigm

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Tracking underwater passive maneuvering targets poses significant challenges due to high maneuverability and noisy ocean environments, particularly when target follows large and sharp turns continuously.
Wasiq Ali, Affaq Qamar, Babar Sattar Khan, Weidong Wang   +3 more
doaj   +1 more source

Tracking maneuver target using interacting multiple model-square root cubature Kalman filter based on range rate measurement

International Journal of Distributed Sensor Networks, 2017
The problem of maneuvering target tracking is a hot issue in the field of target tracking. Due to the range rate measurement containing the maneuvering information of target, it has the important practical significance to study how to use the range rate ...
Hongqiang Liu, Zhongliang Zhou, Haiyan Yang   +2 more
doaj   +1 more source