Muhammad Osama

BTech(MechEng)

Mechanical Engineering with specialization in AI & Robotics

Muhammad Osama is a full-time data analytics consultant and freelance technical writer based in Delhi, India. He specializes in transforming complex technical concepts into accessible content. He has a Bachelor of Technology in Mechanical Engineering with specialization in AI & Robotics from Galgotias University, India, and he has extensive experience in technical content writing, data science and analytics, and artificial intelligence. Muhammad has worked on various research projects related to data analytics, machine learning, and deep learning for industries such as retail, medical, finance, agriculture, and Ed-Tech. He is enthusiastic and passionate about Artificial Intelligence-related research. Outside of work, he enjoys learning about new developments across all the fields related to science, technology, engineering, mathematics, and statistics.

Articles from Muhammad

Simplifying Search and Rescue Using Adaptive Algorithms

Recently published in the Journal of Robotics and Mechatronics, researchers explored the use of simple mobility algorithms to improve search and rescue (SAR) operations in debris-covered environments. Traditional navigation methods like SLAM face challenges in such conditions, prompting the investigation of algorithms like random walk (RW) and depth-first search (DFS)

1 Jul 2024

Biohybrid Robots: Seamlessly Integrating Living Skin

Researchers have introduced perforation-type anchors to securely attach living skin to robotic surfaces, enhancing biohybrid robots with human-like features. This bioinspired technique offers robust, aesthetically pleasing, and biocompatible integration, crucial for advanced robotics.

27 Jun 2024

Analyzing Accident Risks in Autonomous Vehicles

Researchers analyzed a comprehensive dataset to compare accident risks between autonomous vehicles (AVs) and human-driven vehicles (HDVs). While AVs generally showed a lower accident likelihood, specific conditions like dawn/dusk and turning maneuvers revealed higher risks for AVs.

26 Jun 2024

SmartSleeve: A Soft Robotic Device for Epicardial Drug Delivery

A new soft robot, "SmartSleeve," offers innovative on-demand drug delivery to the heart, using electrical signals to treat cardiac diseases with precision. SmartSleeve combines soft robotics with a bioadhesive electronic interface, enabling sutureless attachment to the heart and precise drug release in response to ECG signals.

25 Jun 2024

Robotic vs. Conventional Laparoscopy for Treating Deep Endometriosis

A recent study published in JCM compared the efficacy of conventional laparoscopy (CL) and robotic-assisted laparoscopy (RAL) for treating deep endometriosis in Mexican patients. The research aimed to assess perioperative and postoperative outcomes of both techniques in a developing country context.

24 Jun 2024

AI Improves Gait Assistance for Neuromuscular Disorders

Researchers developed a reinforcement learning-based controller for lower limb rehabilitation exoskeletons (LLREs), offering robust, patient-agnostic walking assistance. This controller, trained with simulated human-exoskeleton interactions, adapts to various neuromuscular disorders without needing specific control parameter tuning.

20 Jun 2024

Controlling 6-DOF Robotic Manipulators with "Wand Mapping"

Researchers introduced a "wand mapping" method for controlling 6-DOF robotic manipulators, using a virtual rigid linkage between the user's hand and the robot's end-effector. This method, tested on 20 participants, showed comparable performance and user preference to traditional direct mapping methods, offering a promising alternative for enhanced control in medical and assistive applications.

19 Jun 2024

LLMs Enhance Vision-and-Language Navigation

Researchers proposed a novel language-based navigation (LangNav) approach for vision-and-language navigation (VLN) by converting visual observations into natural language descriptions, utilizing language models to predict actions, and demonstrating improved performance in low-data and sim-to-real transfer scenarios.

18 Jun 2024

Computer Vision Speeds Up Semiconductor Analysis

A study in Nature Communications details new autocharacterization tools utilizing computer vision to rapidly and accurately measure semiconductor properties, validated on high-throughput perovskite synthesis. This advancement promises to transform material discovery and optimization by drastically reducing characterization time.

17 Jun 2024

AI-Powered Blood Test for Early Lung Cancer Detection

Johns Hopkins University researchers introduced DELFI, an AI-powered blood test for early lung cancer detection, in a study published in Cancer Discovery. By analyzing DNA fragmentation patterns, DELFI significantly outperformed traditional methods, promising to enhance screening rates and reduce lung cancer mortality.

14 Jun 2024