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I am trying to train PPO to do a simple pick and place task with Franka Emika Panda. I have tried multiple setups with discrete actions for the gripper close/open (e.g., 2 cm per each step), increasing the controller's kp to 350, action repeat, etc.
Also, I noticed that in examples/manipulation/grasp_eval.py the grasp and lift is done by the hard coded function env.grasp_and_lift_demo(), so the agent only learns to get close to the object.
I was wondering if I'm doing something wrong or is this supposed to be harder compared to mujoco_playground envs for example? Any suggestions?
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Hi,
I am trying to train PPO to do a simple pick and place task with Franka Emika Panda. I have tried multiple setups with discrete actions for the gripper close/open (e.g., 2 cm per each step), increasing the controller's kp to 350, action repeat, etc.
Also, I noticed that in
examples/manipulation/grasp_eval.pythe grasp and lift is done by the hard coded functionenv.grasp_and_lift_demo(), so the agent only learns to get close to the object.I was wondering if I'm doing something wrong or is this supposed to be harder compared to mujoco_playground envs for example? Any suggestions?
Thank you.
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