Results 91 to 100 of about 1,896,429 (329)

Grip and Grasp: Lizard Claw Inspired Robotic Manipulators

Advanced Robotics Research, EarlyView.
Our study identifies the most effective lizard claw shape for use as an end effector in a bioinspired robotic manipulator. By examining key geometric features and combining them into comparative indices, the Crotaphytus collaris claw is found to be the best fit.
Hyeon Lee, Kate Douglas, Asyiah Bray, Andrea Rummel, Parvez Alam   +4 more
wiley   +1 more source

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

IEEE Access, 2021
With the rapid growth in technology, the use of Unmanned Aerial Vehicles (UAVs) have increased in civil and military applications including rescue operations, disaster recovery, and military operations.
Arslan Shafique, A. Mehmood, Mourad Elhadef   +2 more
semanticscholar   +1 more source

Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics

Advanced Science, EarlyView.
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma, Ting‐Ting Gao, Wei Cui, Attilio Frangi, Gang Yan, Lin Zhao   +5 more
wiley   +1 more source

Space and time joint optimization for vertical takeoff and landing aircraft in dense obstacles and interference environments

Systems Science & Control Engineering
The Vertical Takeoff and Landing Aircraft (VTOL) is capable of both low-speed hovering and high-speed flight. This paper proposes an autonomous motion planning and anti-wind disturbance control algorithm for the VTOL, implemented spatial and temporal ...
Liben Yang, Yu Li, Jianwen Tian, Dong Wang   +3 more
doaj   +1 more source

Feline‐Inspired Robot Enabled by Combustion‐Driven Actuators for Agile Motion and High‐Payload Obstacle Traversal

Advanced Science, EarlyView.
Inspired by nature's competitive maneuvers, this study introduces a combustion‐driven soft actuator that powers a multi‐modal “Jump‐and‐Fly Catbot” (JFC). With millisecond response, high‐force output (over 70 times its weight) and precise control (error within 5%), the robot can jump, fly, hover, and escape from challenging environments, achieving ...
Hongkuan Ma, Yang Yang, Zhiguo He, Hongliang Ren, Pengcheng Jiao   +4 more
wiley   +1 more source

Robust path planning for avoiding obstacles using time-environment dynamic map

Measurement + Control, 2020
Small unmanned aerial vehicles are widely used in urban space because of its flexibility and maneuverability. However, there are full of dynamic obstacles and immobile obstacles which will affect safe flying in urban space.
Xiaolin Zhao, Yu Zhang, Boxin Zhao
doaj   +1 more source

Reconfigurable unmanned aerial vehicles. [PDF]

, 2009
Unmanned Aerial Vehicles (UAVs) have been developing dramatically due to wars and miniaturisation of technology, which has made the UAV industry a very lucrative business. Research organisations have been funded by various research committees or military groups to push UAV developments at a very fast pace.
Erbil, Mehmet Ali, Prior, Stephen D., Karamanoglu, Mehmet, Odedra, Sid, Barlow, Chris, Lewis, Darren   +5 more
openaire   +1 more source

From Design to Prototype: High‐Sensitivity Tri‐Mode Operation Photodetectors Based on 1T‐2H Hybrid MoS2

Advanced Science, EarlyView.
This work demonstrates a phase‐engineered MoS2 photodetector that dynamically switches among photocapacitive (PCC), photovoltaic (PV), and photoconductive (PC) modes. By transforming the traditionally parasitic capacitance into an active signal source, the device achieves self‐powered, high‐sensitivity detection with a fast response of 19.2 ms, and a ...
Xinyu Li, Daxiu Tang, Jiaxin Guo, Xiao Zhang, Sihan Liu, Yaojun Yu, Qianqian Cheng, Chengwei Gao, Xiaoning Guan, Pengfei Lu, Fei Zhuge, Ying Xie, Changgui Lin, Xiang Shen, Haohai Yu, Huaijin Zhang, Jiyang Wang   +16 more
wiley   +1 more source

AIM-Net: A Resource-Efficient Self-Supervised Learning Model for Automated Red Spider Mite Severity Classification in Tea Cultivation

AgriEngineering
Tea cultivation faces significant threats from red spider mite (RSM: Oligonychus coffeae) infestations, which reduce yields and economic viability in major tea-producing regions. Current automated detection methods rely on supervised deep learning models
Malathi Kanagarajan, Mohanasundaram Natarajan, Santhosh Rajendran, Parthasarathy Velusamy, Saravana Kumar Ganesan, Manikandan Bose, Ranjithkumar Sakthivel, Baskaran Stephen Inbaraj   +7 more
doaj   +1 more source

Potential field method for persistent surveillance of multiple unmanned aerial vehicle sensors

International Journal of Distributed Sensor Networks, 2018
Persistent surveillance is one of the major tasks envisioned for unmanned aerial vehicles in that some regions of interest need to be continuously surveyed.
Changxin Huang, Wei Li, Chao Xiao, Binbin Liang, Songchen Han   +4 more
doaj   +1 more source