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                "abstract": {
                    "value": "The robot is designed to traverse various terrains, detect metallic objects, and provide real-time video streaming for remote monitoring and surveillance applications. The all-terrain robot is equipped with a robust chassis and ruggedized wheels to ensure efficient locomotion across different surfaces, including rough terrain, gravel, sand, and uneven landscapes. The high-torque motor system incorporated into the robot enables it to overcome obstacles and steep inclines with ease, ensuring reliable performance in challenging environments. To drive the high-torque motors employed in the robot’s locomotion system, a 10A brushed motor driver is utilized. This motor driver provides the necessary power and control signals to efficiently drive the motors, ensuring precise movement and maneuverability of the robot. The 10A brushed motor driver offers robust performance and protection features, safeguarding the motors from overcurrent or voltage abnormalities. To facilitate metal detection, the robot is equipped with a dedicated sensor system capable of detecting metallic objects within its vicinity. This sensor system utilizes electromagnetic principles to identify and locate metallic targets, providing valuable information about the presence and approximate location of such objects. The metal detection capability enhances the versatility of the robot by enabling applications such as search and rescue, archaeological exploration, and industrial inspections. Furthermore, the all-terrain robot is equipped with a live streaming feature, which allows real-time video transmission to a remote location. This feature enables users to monitor the robot’s surroundings and activities remotely, enhancing situational awareness and facilitating decision-making in various scenarios. The live streaming capability is achieved through the integration of wireless communication technologies, enabling seamless transmission of video data over a network connection",
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                        "doi": "10.1016/j.mechmachtheory.2023.105237",
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                        "unstructured": "Gilligan, Rebecca. “Design of an All-Terrain Aerial Robotic Interface (ATARI) as a Collaborative Platform for UAVs.” AIAA SCITECH 2023 Forum. 2023"
                    },
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                        "key": "ref3",
                        "doi": "10.1002/rob.22186",
                        "unstructured": "Zhang, Guoteng, et al. “Q-Whex: A simple and highly mobile quasi-wheeled hexapod robot.” Journal of Field Robotics (2023). K. Nagendra Prasad, Shaik Khamruddin, Sampangi Srinivas, V. Pavan, E. Surendar, Udayakiran: Design and Fabrication of Metal Sensor Integrated All Terrain Robot with Live Streaming"
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                        "doi": "10.3390/s22186991",
                        "unstructured": "Wang, Zhe, Jianwei Zhao, and Gang Zeng. “Modeling, Simulation and Implementation of All Terrain Adaptive Five DOF Robot.” Sensors 22.18 (2022): 6991"
                    },
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                        "unstructured": "Wisth, David, Marco Camurri, and Maurice Fallon. “VILENS: Visual, inertial, lidar, and leg odometry for all-terrain legged robots.” IEEE Transactions on Robotics (2022)"
                    },
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                        "key": "ref6",
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                        "unstructured": "Kuncolienkar, Aditya, Siddhant Panigrahi, and Asokan Thondiyath. “Multibody dynamics framework for performance evaluation of an all-terrain rover.” 2022 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO). IEEE, 2022"
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                        "key": "ref7",
                        "doi": "10.3390/electronics11020217",
                        "unstructured": "Hrabar, Ivan, Goran Vasiljević, and Zdenko Kovačić. “Estimation of the Energy Consumption of an All-Terrain Mobile Manipulator for Operations in Steep Vineyards.” Electronics 11.2 (2022): 217"
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                        "doi": "10.1016/j.compag.2022.106735",
                        "unstructured": "Chou, Hsiao-Yang, et al. “Developing and evaluating an autonomous agricultural allterrain vehicle for field experimental rollover simulations.” Computers and Electronics in Agriculture 194 (2022): 106735"
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                        "doi": "10.3390/s22041470",
                        "unstructured": "Guo, Wenzhi, et al. “TALBOT: A Track-Leg Transformable Robot.” Sensors 22.4 (2022): 1470"
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                        "doi": "10.1109/iros47612.2022.9982136",
                        "unstructured": "McMahon, Troy, et al. “Terrain-Aware Learned Controllers for Sampling-Based Kinodynamic Planning over Physically Simulated Terrains.” 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2022"
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                        "doi": "10.20965/jaciii.2022.p0355",
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