RoboScout

Noor al-huda Hamayel; Aseel Maradwi

RoboScout

dc.contributor.author	Noor al-huda Hamayel
dc.contributor.author	Aseel Maradwi
dc.date.accessioned	2026-07-09T10:47:14Z
dc.date.issued	2025-09-09
dc.description	--
dc.description.abstract	The RoboScout project presents the design and implementation of a smart exploration vehicle capable of remote navigation, real-time monitoring, and environmental awareness. The system was developed to address the need for safe and efficient exploration in environments where direct human presence may be difficult or unsafe. The vehicle is built on a tank chassis for enhanced stability and is powered by an Arduino Mega that controls DC motors, servo motors, and lighting systems. Wireless communication between the handheld controller and the vehicle is achieved using ESP32 modules with ESP-NOW protocol, enabling low-latency transmission of joystick commands and sensor feedback. A Raspberry Pi 4, equipped with Raspberry Pi Camera v2 and a microphone, provides live video and audio streaming to the operator’s mobile device. Multiple sensors were integrated to enhance safety and monitoring, including an ultrasonic sensor for obstacle detection, a DHT11 for temperature and humidity measurement, an MQ sensor for gas detection, an MPU6050 gyroscope for tilt monitoring, and an INA219 sensor for battery level tracking. The system also features a timed safety mechanism: when an obstacle is detected within 20 cm, forward motion is blocked for 10 seconds while reverse movement remains allowed. To improve usability, an LCD with I2C interface and a buzzer on the handheld controller provide immediate feedback, while headlights and an LED strip automatically adjust to ambient light conditions for improved visibility. A custom 3D-printed enclosure houses the controller, which includes dual joysticks for navigation and camera control. Additionally, a mobile application allows alternative vehicle control and real-time monitoring of sensor data. The results demonstrate that the RoboScout is a reliable, cost-effective, and user-friendly platform that successfully integrates robotics, sensing, and multimedia streaming into a compact system suitable for exploration, monitoring, and educational applications.
dc.description.sponsorship	--
dc.description.statementofresponsibility	Traditional remote-controlled cars provide only basic movement capabilities without environmental awareness or safety measures. In exploration tasks, the absence of obstacle detection, intelligent safety responses, and live environmental data reduces reliability. Therefore, there is a need for a cost-effective exploration vehicle that: ● Provides real-time video and audio feedback. ● Monitors environmental conditions such as temperature, gas, tilt, and battery. ● Enhances safety using ultrasonic obstacle detection with timed stop logic. ● Uses intelligent lighting systems to ensure visibility in low-light conditions. ● Offers both hardware joystick control and a mobile application for flexibility.
dc.description.tableofcontents	This project aims to develop a smart exploration vehicle (RoboScout) that addresses the needs of remote monitoring, safe navigation, and environmental awareness. It aims to achieve the following objectives: 1. Reliable remote control of movement and vision: The system enables wireless control of the vehicle and its mounted camera using dual joysticks in the handheld controller, with additional redundancy provided through a mobile phone application that allows remote driving and monitoring of sensor data. 2. Enhanced obstacle detection and safety measures: The vehicle integrates ultrasonic sensors with buzzer alerts to notify the operator when approaching obstacles. Additionally, a timed safety feature halts forward movement for 10 seconds when the vehicle encounters an obstacle, while still allowing reverse navigation to ensure maneuverability and prevent collisions. 3. Comprehensive environmental monitoring: The system incorporates multiple sensors—including DHT11 for temperature and humidity, MQ gas sensor for hazardous gas detection, MPU6050 gyroscope for tilt monitoring, and INA219 for battery level measurement. Together, these provide the operator with real-time awareness of environmental conditions and system health. These values are accessible through both the handheld controller LCD and the mobile application. 4. High-quality video and audio streaming: A Raspberry Pi 4 equipped with Raspberry Pi Camera v2 and an external microphone provides live video and audio feeds to the operator’s mobile device. This ensures clear situational awareness and supports safe navigation in real time. 5. Smart automatic lighting: The vehicle is equipped with headlights and an LED strip that are controlled automatically using an LDR sensor. This ensures improved visibility in dark environments without unnecessary energy consumption in well-lit areas. 6. User feedback and awareness: Real-time data—including sensor values, obstacle warnings, and battery percentage—are displayed on both the LCD with I2C interface (in the handheld controller) and within the mobile application. This dual feedback mechanism enhances operator awareness and improves overall system reliability. 7. Cost-effective and practical solution: By utilizing affordable and accessible hardware components such as Arduino Mega, ESP32 modules, Raspberry Pi, and common sensors, the system delivers advanced functionality at a fraction of the cost of commercial exploration robots, making it suitable for educational, experimental, and practical use cases. By achieving these objectives, the project delivers a reliable, user-friendly, and affordable exploration vehicle capable of performing remote monitoring, safe navigation, and environmental sensing in a wide range of conditions.
dc.identifier.citation	--
dc.identifier.other	12010252
dc.identifier.uri	https://hdl.handle.net/20.500.11888/21172
dc.language.iso	en
dc.publisher	Dr. Mahmoud Assad Dwikat
dc.relation.ispartofseries	--
dc.subject.classification	Information Technology
dc.supervisor	Dr. Mahmoud Assad Dwikat
dc.title	RoboScout
dc.title.alternative	--
dc.type	Graduation Project
person.telephone	+970595902393