Soham Nandi

3 weeks ago | azorobotics.com | Bethan Davies |Soham Nandi

Reviewed by Bethan DaviesTowards the end of May 2025, NASA’s Perseverance rover captured its fifth selfie from Mars—this time from a location known as “Witch Hazel Hill” in Jezero Crater. The 59-image composite not only highlights the rover itself, but also reveals a distant dust devil and a freshly drilled borehole, showcasing the ongoing science and engineering behind the mission.

3 weeks ago | azorobotics.com | Bethan Davies |Soham Nandi

Reviewed by Bethan DaviesIn a study published in the journal PNAS, scientists demonstrated how fruit flies (Drosophila melanogaster) can be guided like microrobots using light and scent-based cues. The research team harnessed the flies' natural navigation skills and optogenetic tools to steer individuals and swarms with high accuracy, enabling them to transport cargo, navigate mazes, and even manipulate objects.

3 weeks ago | azorobotics.com | Bethan Davies |Soham Nandi

Reviewed by Bethan DaviesResearchers from Lehigh University have developed a breakthrough control system that allows aerial robots to manipulate flexible materials like cables and hoses in real time, overcoming a major challenge in drone adaptability. The project, led by David Saldaña and supported by a National Science Foundation CAREER award, combines adaptive control with reinforcement learning to help drones adjust instantly to shifting forces.

3 weeks ago | azorobotics.com | Bethan Davies |Soham Nandi

Reviewed by Bethan DaviesEngineers have developed a low-cost, open-source 3D printer that fabricates ultra-flexible soft robots upside down, allowing them to walk off the print bed as soon as printing is complete, no post-processing required. In a new study published in Device, researchers introduced the Flex Printer, a novel 3D printing platform built to streamline soft robot production.

4 weeks ago | azorobotics.com | Bethan Davies |Soham Nandi

Reviewed by Bethan DaviesResearchers have developed a highly accurate, explainable machine learning model that can differentiate between essential tremor (ET) and cortical myoclonus (CM) using wearable sensor data. A new study published in Computers in Biology and Medicine outlines how this approach, based on accelerometry (ACC) data and power spectrum analysis, achieved near-perfect classification across a range of movement tasks.