add them to pybullet_envs through __init__.py
id='MinitaurReactiveEnv-v0',
id='MinitaurTrottingEnv-v0',
id='MinitaurBallGymEnv-v0',
id='MinitaurStandGymEnv-v0',
id='MinitaurAlternatingLegsEnv-v0',
id='MinitaurFourLegStandEnv-v0',
disable reflection of minitaur_four_leg_stand_env, since the floor changes orientation (reflection is a fixed plane with [0,0,1] normal)
from pybullet_envs.minitaur.envs.minitaur_alternating_legs_env import MinitaurAlternatingLegsEnv
from pybullet_envs.minitaur.envs.minitaur_ball_gym_env import MinitaurBallGymEnv
from pybullet_envs.minitaur.envs.minitaur_randomize_terrain_gym_env import MinitaurRandomizeTerrainGymEnv
from pybullet_envs.minitaur.envs.minitaur_reactive_env import MinitaurReactiveEnv
from pybullet_envs.minitaur.envs.minitaur_stand_gym_env import MinitaurStandGymEnv
from pybullet_envs.minitaur.envs.minitaur_trotting_env import MinitaurTrottingEnv
from pybullet_envs.minitaur.envs.minitaur_four_leg_stand_env import MinitaurFourLegStandEnv
(thanks to Deirdre Quillen for the environment)
Extend repeat, so gripper reaches the tray bottom.
Fix near plane so Z-Buffer is visible. Add sleep in return motion, in gui mode.
Fix duplicate ground in all Roboschool converted scenes.
Fix bug in all PyBullet-Roboschool converted Humanoid environments (action needs to be clipped to [-1,1] range)
Use python -m pybullet_envs.examples.testEnv --env AntBulletEnv-v0 --render=1 --steps 1000 --resetbenchmark=1
Added environments: HumanoidFlagrunBulletEnv-v0, HumanoidFlagrunHarderBulletEnv-v0, StrikerBulletEnv-v0, ThrowerBulletEnv-v0, PusherBulletEnv-v0, ReacherBulletEnv-v0, CartPoleBulletEnv-v0 and register them to OpenAI Gym.
Allow numpy/humanoid_running.py to use abtch or non-batch update (setJointMotorControl2/setJointMotorControlArray)
use URDF_GLOBAL_VELOCITIES_MB flag in PyBullet loadURDF.
fix robot_bases.py due to new fields in getJointInfo.
backward compabitibility: BulletMJCFImporter, keep creating btMultiSphereShape for MJCF capsules with fromto, instead of shifted btCapsuleShapeZ, unless if CUF_USE_IMPLICIT_CYLINDER is used.
vr_kuka_control.py: control all joints, use analogue button to close gripper
remove some debug warnings/prints
pybullet, avoid crash in changeUserConstraint if not passing a [list]
allow some gym environments (pybullet_pendulum and locomotors) to re-use an existing physics client connection.
