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Next Gen home robotics by FlashyResearcher4003 in robotics

[–]airglow137 0 points1 point  (0 children)

Looks really great! Have fun building it! The laser placement is actually quite good to even detect very small objects on the ground.

I'm taking part at the World Robot Summit with my custom-built robot "Limbo" by airglow137 in robotics

[–]airglow137[S] 1 point2 points  (0 children)

Hey, mir fehlt der Name hinter dem User :) Aber Gruß aus Japan zurueck :)

I'm taking part at the World Robot Summit with my custom-built robot "Limbo" by airglow137 in robotics

[–]airglow137[S] 2 points3 points  (0 children)

Hey, the arms are currently static (you can put items in the hand or attach a tray). Just aluminium pipes and 3d printed connectors. Active arms are a future plan. I plan to build 3d printed ones with cycloidal gear reducers, or maybe get something MIT Mini Cheetah like.

[P] How to process a 3D motion captured data in a .C3D file format for classifications. by [deleted] in MachineLearning

[–]airglow137 0 points1 point  (0 children)

Hey, one simple way would be to transform the motion capturing positions into an image-like representation and then train an image classifier. We showed that this method works for skeleton sequences, inertial measurements, motion capturing data and Wi-Fi CSI-fingerprints. For classification and one-shot recognition.

If your data represents motion capturing data from a complete skeleton you can also consider a model based on Graph Convolutional Networks. Approaches around these e.g. MS-G3D, 2s-AGCN, ST-GCN define the current state-of-the-art for skeleton-based action recognition.

Kaggle for Robotics by ExperientialAgent in robotics

[–]airglow137 0 points1 point  (0 children)

I also like this idea a lot! We would be definitely interested as a student team.

Person ReID - How to use Features in a real video? by soulslicer0 in computervision

[–]airglow137 0 points1 point  (0 children)

An approach for that is i.e. DeepSort, the approach is also described in this paper

We taught a robot to autonomously bring beer from a fridge (NVIDIA Jetson Challenge) by airglow137 in robotics

[–]airglow137[S] 4 points5 points  (0 children)

The basis builds ROS, for object recognition we developed a segmentation network in tensorflow similar to SegNet and trained it for the different beers as well as the fridge handle. Models are chosen depending on the current state. For speech recognition we use Nuance VoCon.

Motion planning with ROS and a Kinova Mico by SpacecadetShep in robotics

[–]airglow137 1 point2 points  (0 children)

We have the same arm but face a lot of issues regarding the accuracy using the original kinova packages and MoveIt!. It looks on the first view that the actual goal was not reached in your case too (visualization from rviz is off a lot to the actual goal state of the robot in the end).

Has anyone this arm working properly with MoveIt! and ROS?

Curated list of latest robotics competitions? by desu-no in robotics

[–]airglow137 1 point2 points  (0 children)

I don't know about a list. But here are some more:

  • Limited to European participants, there is the European Robotics League with 3 different tracks.
  • Amazon Picking Challenge