Muhammad Osama

Optimizing Energy Use in 3D Concrete Printing Robots

Researchers investigated the energy consumption of the Printing Mantis, a robot designed for 3D concrete printing (3DCP), by developing a novel energy consumption model. Their study revealed that optimizing the robot's kinematic structure and considering actuator efficiency are crucial for reducing energy usage, achieving a prediction accuracy of up to 90.3%, thus paving the way for more efficient 3DCP applications.

Enhancing EV Battery Recycling Through Multi-Robot Collaboration

A recent study in Robotics introduced an intelligent hybrid task planner for multi-robot disassembly of electric vehicle (EV) lithium-ion batteries. This system, tested with various trajectory-planning algorithms, demonstrated efficient and adaptable collaboration between robots, streamlining the battery recycling process and highlighting its potential for broader disassembly tasks in the circular economy.

Voice-Enabled Robot Collaboration in Quality Inspection

Robots in Precision Agriculture: Recent Advancements

Researchers developed a cost-effective robotic camera system to capture images of greenhouse plants, enhancing plant growth monitoring and data analysis for precision agriculture. The system demonstrated high accuracy in plant identification, movement, and image quality, showcasing its potential to revolutionize agricultural practices.

Enhancing Surgical Robot Precision With Advanced Datasets

The researchers introduce the ROSMA dataset and methodology in Applied Sciences, facilitating instrument detection and gesture segmentation in robotic surgical tasks. Through manual annotations and a neural network model combining YOLOv4 and LSTM, they achieve high accuracy and generalization capabilities, offering potential applications in surgical data science and beyond.

How Are Robotics & Automation Redefining Environmental Sensing?

Researchers explore the transformative impact of automation and robotics on environmental sensing. They explored cutting-edge technologies such as environmental sensor networks (ESNs), unmanned aerial systems (UASs), robotics, and deep learning (DL), discussing their applications, challenges, and potential.

Two-Finger Robotic Hand for Precise Object Manipulation

Researchers introduced a two-finger haptic robotic hand capable of manipulating objects with diverse stiffness levels and shapes. Utilizing force sensors and an impedance control algorithm, the hand demonstrated precise grasping and lifting abilities without causing damage or slippage.

Neutrosophic Logic Revolutionizes Sign Language Recognition

Researchers introduced a novel approach to signer-independent sign language recognition (SLR) using Neutrosophic hidden Markov models (NHMM). By addressing the challenges of variability and uncertainty inherent in sign gestures, the proposed NHMM system achieved a remarkable gesture recognition rate of 98.5%, outperforming traditional methods.

Improved Trajectory Tracking for Car-Like Mobile Robots

Researchers introduce a novel control scheme in Electronics journal to improve the trajectory tracking accuracy of car-like mobile robots (CLMRs) amidst modeling errors and external disturbances. By combining an extended state observer (ESO) and a backstepping controller, they effectively estimate and compensate for system uncertainties, promising enhanced performance for various CLMR applications.

Exploring Embodied Intelligence in Soft Robotics

A recent review delves into the progress and future prospects of embodied intelligence in soft robotics, covering morphological computation, artificial evolution, perception, control, and decision-making. The study highlights synergies between soft robotics and embodied intelligence, presents applications across domains like exploration and medicine, and suggests directions for future research.