Client
PhD researchers - National University of Singapore
Client Requirements
To push the boundaries of integrated robotics, the lab required a platform capable of:
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Integrated Perception & Manipulation: A seamless bridge between 3D vision, autonomous navigation, and robotic arm control.
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Complex Indoor Navigation: Reliable SLAM (Mapping & Localization) and dynamic obstacle avoidance in crowded lab environments.
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AI & Computer Vision: Object recognition and pick-and-place tasks using high-precision depth sensing.
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Developer-Friendly Ecosystem: Full compatibility with ROS2 Humble and an Open-Source architecture for secondary development of proprietary algorithms.
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Rapid Deployment: A "Ready-to-Research" hardware stack to eliminate months of manual integration.
Our Answer
1. Robust Hardware Foundation
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Advanced Chassis: Features patented chassis technology with an independent suspension system and high-torque hub motors for smooth movement.
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Collaborative Power: Integrated with the Realman ECO65 Arm, offering 6 degrees of freedom (6DoF) for precise manipulation tasks.
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Autonomous Endurance: Supports automatic recharging, ensuring the robot is always ready for long-duration experiments.
2. Full-Stack Perception Suite (Multi-Sensor Fusion)
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Dual LiDAR System: Equipped with two Leishen TOF LiDARs for 360° coverage.
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3D Vision: Features the Orbbec Gemini Pro binocular depth camera for high-fidelity environment reconstruction.
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Safety First: A comprehensive ultrasonic anti-collision system provides hardware-level safety during autonomous missions.
3. Open-Source Software & ROS2 Integration
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Native ROS2 Humble Support: Pre-configured drivers and packages for the latest robotics middleware.
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Fully Open-Source: Access to all chassis source code, enabling researchers to modify control logic at the lowest levels.
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Pre-Integrated Algorithms: Out-of-the-box support for SLAM, autonomous path planning, and vision-guided grasping.
