Results 71 to 80 of about 641,334 (295)

Collision‐Resilient Winged Drones Enabled by Tensegrity Structures

Advanced Robotics Research, EarlyView.
Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui, Raphael Zufferey, William Stewart, Mohammad Askari, Simon Jeger, Dario Floreano   +5 more
wiley   +1 more source

Understanding the Workforce Needs of New Jersey's Public Health and Other Disaster Management Employers [PDF]

, 2008
This report explores the priority workforce needs of New Jersey's public disaster management system. An advisory group of disaster management-related employers from law enforcement and state and local public health systems and educational institutions ...
Aaron Fichtner, Jennifer Cleary, Ronnie Kauder   +2 more
core  

Formation Control of Multi‐Agent System with Local Interaction and Artificial Potential Field

Advanced Robotics Research, EarlyView.
This article proposes a local interaction‐based formation control method for Multi‐Agent system, integrating consensus and leader‐follower strategies with a stress response mechanism—artificial potential field to reduce communication overhead and enable obstacle avoidance. Experimental results on triangular, square, and hexagonal formations confirm its
Luoyin Zhao, Zheping Yan, Yuqing Wang, Raye Chen‐Hua Yeow   +3 more
wiley   +1 more source

Investigating the significance of disaster information management

Jàmbá, 2013
Disaster information informs disaster risk management interventions. However, it is the systematic management of this key resource that has not yet been fully embraced.
Mukundi Mutasa
doaj   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Predictors of Bangladeshi registered nurses' disaster management knowledge, skills, and preparedness

Progress in Disaster Science
As a primary healthcare first respondent during disasters, Bangladeshi registered nurses (RNs) play a critical role in disaster management. This study assessed their knowledge, skills, and preparedness (KSP) for disaster management and examined the ...
Md. Khalid Hasan, Ahmed Fahmi, Tasnim Jamal Jisa, Rokibul Huq Rokib, Julia Yasmin Borna, Jannatul Fardusi, Israt Jahan Oishee, Anas, Sheikh Abdullah Al Muid, Sadia Afrin Saki, Shariful Islam, Md. Solayman Uddin, Md. Shihab Mahmud   +12 more
doaj   +1 more source

Multimodal Locomotion in Insect‐Inspired Microrobots: A Review of Strategies for Aerial, Surface, Aquatic, and Interfacial Motion

Advanced Robotics Research, EarlyView.
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska, Kaushik Jayaram, Nicole Xu   +2 more
wiley   +1 more source

Disaster Management CYCLE – a theoretical approach [PDF]

The present study explains the various concepts used in disaster management. The concepts explained include: Disaster, Hazard, Vulnerability, Capacity, Risk and Disaster Management Cycle.
Asmatullah Khan, Himayatullah Khan, Laura Giurca Vasilescu   +2 more
core  

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

GIS-Based Assessment of Best Route in Complex Traffic Environment: A Case of Kolkata Municipal Corporation

Indonesian Journal of Geography
In an emergency like an urban fire, road accident, or critical condition of patients, the shortest possible route to reach the destination is one of the most sought-after issues in transportation studies.
Sajal Ghosh, Bulti Das, Eshita Boral
doaj   +1 more source