barsm42

Hello, Same question here. I trained Ziploc Slide ( we created our dataset but same task), and ACT worked well for the task. Then we tried Diffusion Policy class. The...

> @barsm42 same question, Have you solved this problem? @woltium We are trying to solve. I trained two policies with same parameters. The only difference is "ENABLE_EMA = True" or...

> Hello, there. > > Your work looks amazing, and I want to try it on my project. After several days strugglling, I cannot get any exciting result for a...

Hello, When I changed the line as below ema = EMAModel(parameters=nets, power=self.ema_power) it started to train. However, during the inference I get another error. I will ask a question about...

> @barsm42 have you found a solution to this? I am searching for one myself, I encountered the same problem Not yet, unfortunately.

@QueirosJustin Thank you for your reply. In my code, I dont have --eval_every 100000 --validate_every 10000 --save_every 10000 args. imitate_episodes.py gave error for those arguments.

I don't have these four arguments. I searched with Ctrl+F in the script, there are not any variables as eval_every and the rest. eval_every = args['eval_every'] validate_every = args['validate_every'] save_every...

@QueirosJustin, What should I do for that arguments?

#!/usr/bin/env python3 # -*- coding: utf-8 -*- from interbotix_xs_modules.arm import InterbotixManipulatorXS import numpy as np import sys, random from time import sleep def main(): bot = InterbotixManipulatorXS("vx300s", "arm", "gripper") if...

@swiz23 Thank you for your detailed reply. I used set_ee_pose_components function, but it didn't move as I want like in set_ee_cartesian_trajectory function. Is there any function that calculates end effector's...