Results 11 to 20 of about 848,333 (267)

Sensor fusion of force and acceleration for robot force control [PDF]

2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2005
In this paper, robotic sensor fusion of acceleration and force measurement is considered. We discuss the problem of using accelerometers close to the end-effectors of robotic manipulators and how it may improve the force control performance. We introduce a new model-based observer approach to sensor fusion of information from various different sensors.
Javier Gámez García, Anders Robertsson, Juan Gómez Ortega, Rolf Johansson 0001   +3 more
openaire   +1 more source

An ADS-B Information-Based Collision Avoidance Methodology to UAV

Actuators, 2023
A collision avoidance method that is specifically tailored for UAVs (unmanned aerial vehicles) operating in converging airspace is proposed. The method is based on ADS-B messages and it aims to detect and resolve conflicts between UAVs.
Liang Tong, Xusheng Gan, Yarong Wu, Nan Yang, Maolong Lv   +4 more
doaj   +1 more source

Force controlled robotic assembly without a force sensor [PDF]

2012 IEEE International Conference on Robotics and Automation, 2012
The traditional way of controlling an industrial robot is to program it to follow desired trajectories. This approach is sufficient as long as the accuracy of the robot and the calibration of the workcell is good enough. In robotic assembly these conditions are usually not fulfilled, because of uncertainties, e.g., variability in involved parts and ...
Andreas Stolt, Magnus Linderoth, Anders Robertsson, Rolf Johansson 0001   +3 more
openaire   +2 more sources

An Improved INS Factor Graph Formulation and Its Application in Integrated Navigation System

MATEC Web of Conferences, 2017
A new method of establishing INS factor graph is proposed to deal with the serious waste of INS measurements in current integrated navigation factor graph algorithm.
Gao Junqiang, Tang Xiaqing, Zhang Huan
doaj   +1 more source

Multi-UAV Cooperative Offensive Combat Intelligent Planning Based on Deep Reinforcement Learning

Hangkong gongcheng jinzhan, 2022
Unmanned aerial vehicle(UAV)with the advantages of high effectiveness and flexible autonomy has gradually replaced manned aircraft to combat,and multi-UAV cooperative combat mission planning becomes the hot research issue.An end-to-end cooperative attack
LI Junsheng, YUE Longfei, ZUO Jialiang, YU Lixin, ZHAO Jiale   +4 more
doaj   +1 more source

Air Channel Planning Based on Improved Deep Q-Learning and Artificial Potential Fields

Aerospace, 2023
With the rapid advancement of unmanned aerial vehicle (UAV) technology, the widespread utilization of UAVs poses significant challenges to urban low-altitude safety and airspace management.
Jie Li, Di Shen, Fuping Yu, Renmeng Zhang   +3 more
doaj   +1 more source

Pre-Dog-Leg: A Feature Optimization Method for Visual Inertial SLAM Based on Adaptive Preconditions

Sensors
To address the ill-posedness of the Hessian matrix in monocular visual-inertial SLAM (Simultaneous Localization and Mapping) caused by unobservable depth of feature points, which leads to convergence difficulties and reduced robustness, this paper ...
Junyang Zhao, Shenhua Lv, Huixin Zhu, Yaru Li, Han Yu, Yutie Wang, Kefan Zhang   +6 more
doaj   +1 more source

Panoramic Convolutional Long Short-Term Memory Networks for Combat Intension Recognition of Aerial Targets

IEEE Access, 2020
Aiming at the limitation that traditional methods for combat intention recognition of aerial targets are difficult to effectively capture the essential characteristics of intelligence information, we design a novel deep learning method, Panoramic ...
Junjie Xue, Jie Zhu, Jiyang Xiao, Sheng Tong, Ling Huang   +4 more
doaj   +1 more source

Guidelines for Pediatric Radiotherapy Simulation: A Report From the Children's Oncology Group Radiation Oncology Discipline

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei, Stephen Mihalcik, Sujith Baliga, Young Kwok, Dana Casey, Eric Ehler, Christiane Burton, John C. Breneman, Daphne A. Haas‐Kogan, Suzanne L. Wolden, Arnold C. Paulino, Nadia N. Laack, Natia Esiashvili, Sarah Milgrom, Christine Hill‐Kayser, Thomas J. Fitzgerald, John A. Kalapurakal, Chia‐Ho Hua   +17 more
wiley   +1 more source

The Role of “Adult‐Onset” Cancer Predisposition Genes in Pediatric Cancer: A Comprehensive Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Current literature estimates that 10% of pediatric cancers are caused by pathogenic or likely pathogenic (P/LP) germline variants in cancer predisposition genes (CPGs). Variants in CPGs thought to increase cancer risk exclusively during adulthood are referred to as “adult‐onset” CPGs (aoCPGs).
Maria Rozo, Miriam A. Bornhorst, Angela J. Waanders, Sara Zarnegar‐Lumley, Ashwin Lakshman Koppayi, Lucy A. Godley   +5 more
wiley   +1 more source