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Updates for kbot walking setup. #9
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@@ -58,28 +58,43 @@ | |||
max_depenetration_velocity=1.0, | |||
), | |||
articulation_props=sim_utils.ArticulationRootPropertiesCfg( | |||
enabled_self_collisions=True, solver_position_iteration_count=4, solver_velocity_iteration_count=0 | |||
enabled_self_collisions=True, | |||
solver_position_iteration_count=8, |
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Unitree's velocity solver has 4 steps fyi.
articulation_props=sim_utils.ArticulationRootPropertiesCfg(
enabled_self_collisions=False, solver_position_iteration_count=8, solver_velocity_iteration_count=4
),
),
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hmm not sure what solver does/is. put a TODO to try 4 steps
# Unify joints and use positions | ||
joint_pos = ObsTerm( | ||
func=mdp.joint_pos_rel, | ||
noise=Unoise(n_min=-0.05, n_max=0.05), | ||
noise=Unoise(n_min=-0.01, n_max=0.01), |
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Increase default ones.
func=mdp.generated_commands, params={"command_name": "base_velocity"} | ||
) | ||
|
||
# kscale_imu_euler = ObsTerm( |
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remove if unused?
@configclass | ||
class RandomizationCfg: | ||
class EventsCfg: | ||
"""Configuration for randomization.""" |
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Are you adding randomization in the PR?
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No, everything is zeroed out, its a TODO to increase the params to see how robust it can be
print(f"- Props: {dst_meshes}") | ||
|
||
while True: | ||
print("\nHow would you like to proceed?") |
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please make it run through config.
great feedback thank you, I will get through this after mujoco integration |
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does isaaclab have latency for stuff? experimenting with sensor, motor, and command latency in isaacgym rn
Not built in, no. I could only find this convo about it |
this is an updated setup for kbot walking.
updates:
Robot stuff:
Algorithm Stuff:
Termination Stuff:
Randomization Stuff:
Reward Stuff
Observation Stuff