Real-time Gesture Mimicking Robotic Arm

2026-05-22T05:32:41+00:00

Robotic arms play a crucial role in modern automation by performing repetitive tasks with high accuracy and reliability. This work presents the design and development of a real-time gesture mimicking robotic arm using an ESP32 microcontroller. The system operates on a master-slave mechanism in which the motion provided through a control unit is reproduced by the robotic arm in real time, allowing intuitive and easy operation. User input is provided through potentiometers that generate varying analog signals corresponding to different joint movements. These signals are read and processed by the ESP32, which maps them into suitable control commands for the servo motors. A servo driver module is used to generate precise PWM signals, enabling coordinated and smooth movement of the robotic arm joints, such as base, shoulder, elbow, wrist, and gripper. This setup allows the system to perform pick-and-place tasks efficiently. The mechanical structure of the robotic arm is designed using Fusion 360 and fabricated using 3D printing, ensuring accurate dimensions and lightweight construction. The system demonstrates stable and responsive performance with minimal delay. Due to its low cost, simple design, and ease of use, it is suitable for both educational purposes and basic industrial automation. Future improvements can include wireless control, sensor-based feedback, and intelligent decision-making features to enhance overall functionality.

Simulation and Comparative Analysis of Error Detection Techniques in UART Communication Systems

2026-06-12T08:17:07+00:00

Reliable data communication is essential in embedded systems, where transmission errors caused by environmental noise can significantly affect data integrity and system performance. This study presents a software-based simulation of Universal Asynchronous Receiver-Transmitter (UART) communication enhanced with three error detection techniques, namely parity checking, checksum verification, and Cyclic Redundancy Check (CRC). To emulate realistic communication disturbances, a probabilistic Bernoulli noise model is employed, introducing random bit errors during data transmission. The proposed framework evaluates the effectiveness of each error detection method under varying noise conditions using key performance metrics, including error detection rate, reliability, and computational overhead. A comparative analysis is conducted to examine the trade-offs between detection accuracy and processing complexity. The results indicate that parity checking offers the lowest computational cost but has limited capability in detecting multiple-bit errors. Checksum-based detection provides improved performance and reliability, making it suitable for moderate-noise environments. Among the evaluated techniques, CRC demonstrates the highest level of robustness, consistently achieving superior error detection rates even under severe noise conditions. The findings highlight the importance of selecting appropriate error detection mechanisms based on system requirements and communication reliability constraints.

Advance Research in Analog and Digital Communications

Real-time Gesture Mimicking Robotic Arm

Simulation and Comparative Analysis of Error Detection Techniques in UART Communication Systems