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EAI LEO: Modular ROS Mobile Robot with LiDAR

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Here is a premium robot made for serious researchers and competitors. The EAI LEO ROS Robot is powered by an Intel i5 processor with 4GB RAM and 128GB of storage space. It comes with a steel & ABS structure with 4″ rubber wheels.

This robot comes with a high precision LiDAR module and obstacle avoidance sensors.. It also has a front mounted RGB depth camera. It lasts up to 10 hours on battery. It has a max speed of 1m/s. It can be programmed with ROSstudio and controlled with an app. LEO has a modular design.

[where to get it]

Leopard Imaging Hawk 3D Depth Camera with NVIDIA Jetson edge AI Support

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Here is another 3D depth camera ready for your AI and robotics applications. The Leopard Imaging Hawk 3D Depth Camera has a wide horizontal field of view of 120°. It has a dual OnSemi AR0234CS RGB image sensors with an active-pixel array of 1920 (H) x 1200(V) to support full HD video up to 120 fps.

This camera is ready for virtual reality, 3D scanning, augmented reality, and machine vision applications. It has a 6-axis IMU built-in.

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Tonybot Arduino Based Humanoid Robot

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Meet the Tonybot: a programmable humanoid robot based on Arduino that can walk, dance, and do various other moves. It comes with a sensor expansion kit for more advanced projects. This robot comes with a glowing ultrasonic sensor. It has a PC software for programming actions.

Neato D10 LiDAR Robot Vacuum with App Control, HEPA Filter

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Meet the Neato D10: an intelligent robot vacuum with LiDAR and app control that cleans your floors efficiently. It comes with a HEPA filter to capture up to 99.97% of allergens and fine dust particles as small as 0.3 microns. This robot runs for up to 300 minutes on battery.

GE’s Autonomous Earthworm Robot

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It is no secret that plenty of robots we use are inspired by nature. GE’s Autonomous Earthworm Robot is designed to dig tunnels. The researchers have already demonstrated a prototype that can continuously tunnel underground to reach its final destination. The below video shows it in action:

LT2 Bloodhound Tactical Robot

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Tactical Robot Demonstration LT2-F by SuperDroid Robots

Meet the LT2 Bloodhound Tactical Robot: a lightweight robot that can climb stairs and obstacles and patrol dangerous areas. The robot has a tracked design, so it can overcome uneven terrain. It also has a tilting 30x optical zoom camera with lights.

Shimon Musical Robot with Deep Learning Improvisation

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Shimon is one of the coolest musical robots we have covered here in the past few years. This marimba playing robot can compose its own music. With deep learning, it can write lyrics and suggest melodies. As this video shows, Shimon is now capable of improvisation thanks to deep learning:

Ghost Robotics’ Armed Quadruped Robot

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Ghost Robotics shouldn’t need any introduction. In the past few months, we have covered what its robot dogs are capable of. The company recently showcased an armed version of its robot dog for the military. As NewScientist explains, this robot has a “Special Purpose Unmanned Rifle pod from Sword Defense, with a powerful 6.5mm sniper rifle”

These robots are fully controlled by a remote operator, so AI is not in charge of controlling the weapon yet.

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Kompano Greenhouse Robot with iOS/Android Connectivity

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Meet the Kompano robot from Priva: a greenhouse robot that can move around alongside humans and cut leaves autonomously. The Kompano can de-leaf tomato plants 24/7. It can be easily controlled with a mobile device. This robot can deleaf up to 1 hectare per week.

Augmented Cane: Stanford’s Self Navigating Cane with LiDAR, GPS, Camera

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Meet the Augmented Cane: a self navigating smart cane for the visually impaired that makes it easier for them to navigate new environments. This white cane comes with a set of sensors and provides feedback through audio and vibration.

Stanford researchers build self-navigating smart cane for the visually impaired

The sensors detect obstacles and sense the environmentto help the user avoid accidents. It uses LiDAR, GPS, IMU, and a camera to get the job done.

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