Liam Critchley
Freelance Science Writer and Editor at Freelance
Specialist Freelance #Chemistry and #Nanotechnology Writer | Advisory board member at @NGAgraphene and @NanotechnoWorld and @AMPTnetwork #scicomm
Articles
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2 weeks ago |
electropages.com | Liam Critchley
Key Thing to Know: Flexible pressure sensors are essential for enabling fine motor control in humanoid robots, but current versions often struggle with interference from moisture, bending, and electromagnetic fields in real-world environments. Capacitive pressure sensors are a promising class thanks to their durability and temperature stability, but they are currently limited by external interferences like EMI and moisture, which affect accuracy and reliability.
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3 weeks ago |
electropages.com | Liam Critchley
Key Thing to Know: Uranium in seawater is a vast, untapped resource, with ~4.5 billion tonnes—about 1,000 times more than land-based reserves—but traditional extraction methods produce impure uranium. Electrochemical extraction offers a promising solution by reducing uranium (VI) to uranium (IV), improving extraction efficiency and purity, though it depends heavily on advanced electrode design.
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3 weeks ago |
physicsworld.com | Liam Critchley
Agrivoltaics is an interdisciplinary research area that lies at the intersection of photovoltaics (PVs) and agriculture. Traditional PV systems used in agricultural settings are made from silicon materials and are opaque. The opaque nature of these solar cells can block sunlight reaching plants and hinder their growth. As such, there’s a need for advanced semi-transparent solar cells that can provide sufficient power but still enable plants to grow instead of casting a shadow over them.
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3 weeks ago |
electronicsmedia.info | Liam Critchley
Industrial robots have been around since the 1950s, but their capabilities and intelligence have steadily advanced in line with new material, technology, fabrication, and computing advancements. By leveraging advanced computer science, sensing, and control capabilities that are now at their fingertips, engineers have rapidly transformed modern agricultural robots.
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1 month ago |
eetimes.com | Liam Critchley
//php echo do_shortcode('[responsivevoice_button voice="US English Male" buttontext="Listen to Post"]') ?> Advanced algorithms are used in Autonomous Mobile Robot (ARM) sensing, monitoring and movement operations. While many algorithms provide AMRs with autonomous capabilities, the integration of AI algorithms, such as machine learning, deep learning and reinforcement learning, are being used to optimize AMR operations to make them more efficient at performing their tasks.
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