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Luigi Freda

Robotics & Computer Vision Engineer, PhD

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PostsRobotics

History of Robotics

luigi 5 August 2016 0 Comments robotics

Here you can find a nice timeline of robotics projects from ancient times. In particular, you can find some details about the first remote controlled robot boat designed and developed by Tesla.

  • Third TRADR Joint Exercise in Prague and VREP Simulations
  • Direct Sparse Odometry

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Sensor-based Exploration Tree (SET) Method

Software

Mapping and Navigating Using a RealSense R200

luigi 16 May 201616 May 2016 0

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News About Me

  • 3DMR – 3D Multi-Robot Exploration with a Two-Level Coordination Strategy and Prioritization
  • My new pySLAM v2 is out!
  • Member of the Program Committee of SAC 2020-IRMAS Track
  • PLVS for Circus Maximus Mixed-Reality Experience
  • Visual Perception and Spatial Computing

Blog

  • 3DMR – 3D Multi-Robot Exploration with a Two-Level Coordination Strategy and Prioritization
  • My new pySLAM v2 is out!
  • ROSIntegration for Unreal Engine 4.23
  • PLVS for Circus Maximus Mixed-Reality Experience
  • Visual Perception and Spatial Computing

Tags

2D to 3D 3D reconstruction augmented reality business CNN computer vision data analysis dataset deep-learning disaster robotics drones energy features gps image processig inertial lidar machine-learning mapping math multi-robot NN open source perception place recognition robotics self-driving car sensor-based motion planning sensors SLAM TRADR UGVs USAR visual localization visual servoing VR

Tweets

Retweet on Twitter Luigi Freda Retweeted
holynski_ Aleksander Holynski @holynski_ ·
15 Sep

Check out our new paper that turns a (single image) => (interactive dynamic scene)!

I’ve had so much fun playing around with this demo.

Try it out yourself on the website: http://generative-dynamics.github.io/

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Retweet on Twitter Luigi Freda Retweeted
gkopanas Georgios Kopanas @gkopanas ·
4 Sep

The most important factor that determines the quality of a reconstruction is not the actual NeRF variant you are using but rather where you place the cameras.

We give insights on practical ways to solve this problem in realistic environments.

https://arxiv.org/abs/2309.00014

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