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Robotics-and-Computer-Vision-Lab / HandEyeCalib-ROS

Detailed Eye in Hand calibration tutorial with ROS intergration
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kinova gen3 7 dof or lite #1

Open MQ-D-729 opened 1 year ago

MQ-D-729 commented 1 year ago

we have a kinova gen3 7dof arm with robotiq-2f-85 clip. But your two-dimensional plane fetching is using gne3 lite. Can i sucessfully complete fetching on gen3 7 dof by modifying relevant parameters? i don't know how to grap 6dof yet.Where am i supposed to learn about the kinova gen3 7 dof.

mkt1412 commented 1 year ago

Hi,

Thanks for being interested in our repo. Kinova Gen3 and Gen3 Lite share similar features. The only parameter you may need to modify is arm type (gen3 instread of gen3_lite) when you launch the kortex_driver. For performing 6 DoF grasping, I would recommend 6-dof GraspNet and Contact GraspNet from Nvidia.

Hope it helps.

Chao

MQ-D-729 commented 1 year ago

Thank you for your reply, we are learning Grasp net through some related papers, and look forward to your continuing to do similar research on kinova gen3, I will follow your work.

mkt1412 commented 1 year ago

Hi,

Thanks for the interest. You may follow my google scholar for further detail of our work.

Good luck!

Chao

mkt1412 commented 1 year ago

Hi,

Sorry for the delayed response. You can safely comment these two lines. We use them for other purposes.

BTW, I somehow cannot see your latest comment on github. I hope my reply goes to you.

Best,

Chao

From: MQ-D-729 @.> Sent: Saturday, July 1, 2023 12:58 AM To: Robotics-and-Computer-Vision-Lab/HandEyeCalib-ROS @.> Cc: mkt1412 @.>; Comment @.> Subject: Re: [Robotics-and-Computer-Vision-Lab/HandEyeCalib-ROS] kinova gen3 7 dof or lite (Issue #1)

hi, grasp_mask = os.path.join(BasePath, 'output/grasp_mask.npy') rel_file = os.path.join(BasePath, 'output/point_rel.json') without these two files

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