Results 101 to 110 of about 1,597,727 (284)

Edible Pouch Motors

open access: yesAdvanced Robotics Research, EarlyView.
Edible robotics is an emerging field that leverages edible materials to construct robotic systems. This study presents a method to create thin, lightweight, yet powerful edible soft actuators, namely edible pouch motors. The successful operation of these edible actuators and grippers renders their potential to advance future developments in edible ...
Keigo Takahashi   +3 more
wiley   +1 more source

Gender mainstreaming in disaster reduction: Why and how? [PDF]

open access: yes
The significant losses in human life and livelihoods, the destruction of economic and social infrastructure and damage to the environment caused by disasters in the past decade has increased the necessity for proper disaster reduction and risk ...
Ginige, K. N.   +2 more
core   +3 more sources

An introduction to coal preparation

open access: yes, 1985
FOREWORDThe Coal Preparation Society of N.S.W. has been conducting\ua0preliminary and advanced courses in coal preparation for many\ua0years. The preliminary courses are held each year in three or four\ua0centres in coalfields areas and in Sydney, most ...
Coal Preparation Society of N.S.W.
core  

A Self‐Healing Permanent Magnet Putty for Soft Robot Skins With Force Sensing and Functional Recovery

open access: yesAdvanced Robotics Research, EarlyView.
Permanent magnet putty (PMP) integrates high‐coercivity NdFeB particles with a dynamic polyborosiloxane–Ecoflex matrix, achieving rapid self‐healing (90% mechanical recovery in 10 s) and magnetic recovery within 20 min. With twice the sensitivity of commercial putties, PMP enables precise 5–30 N force detection and discrimination between pressing and ...
Ruotong Zhao   +5 more
wiley   +1 more source

Working as one: a road map to disaster resilience for Australia [PDF]

open access: yes, 2014
This report offers a roadmap for enhancing Australia’s disaster resilience, building on the 2011 National Strategy for Disaster Resilience. It includes a snapshot of relevant issues and current resilience efforts in Australia, outlining key challenges ...
Paul Barnes   +5 more
core  

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

open access: yesAdvanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar   +8 more
wiley   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

open access: yesAdvanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Determining geo-disaster chains probabilities and disaster mitigation mode: A meta-analytical perspective

open access: yesEcological Indicators
In a harsh geological environment, different geo-disasters might co-occur or be in a chain sequence. Currently, existing research in related fields documents numerous instances of disaster chains and responses, which provided this study with important ...
Ziyan Huang   +4 more
doaj   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

open access: yesAdvanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano   +3 more
wiley   +1 more source

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