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35 Commits

Author SHA1 Message Date
Erwin Coumans
0511a36a67 add Laikago quadruped model, thanks to Unitree for the cad meshes. 
If you use the Laikago URDF, please add a citation to PyBullet:

@MISC{coumans2018,
author =   {Erwin Coumans and Yunfei Bai},
title =    {PyBullet, a Python module for physics simulation for games, robotics and machine learning},
howpublished = {\url{http://pybullet.org}},
year = {2016--2018}
}
 2018-10-26 18:49:58 -07:00
Erwin Coumans
e74f86d148 remove ANYmal meshes 2018-06-11 07:44:05 -07:00
Erwin Coumans
e74cd05e37 add space 2018-05-31 21:21:50 -07:00
Erwin Coumans
efe9161670 fix cmake build 2018-05-26 08:46:12 +10:00
Erwin Coumans
5de53d7355 PyBullet: add ANYmal.py quadruped example, usage: 
pip install pybullet
python -m pybullet_envs.examples.ANYmal
 2018-05-25 07:54:38 +10:00
Erwin Coumans
0abe4151e5 Fix for 1643, allow to instantiate multiple PyBullet Gym environments (Ant, Humanoid, Hopper, Pendula etc) in the same process (same or other thread). It uses the pybullet_utils.bullet_client to achieve this. 2018-05-18 16:23:54 -07:00
erwincoumans
c2869e0a3c enable planar reflection in minitaur_gym_env.py and locomotion scenes 2018-04-11 08:50:29 -07:00
erwincoumans
19231434c2 gym env backward compatibility due to gym 0.9.6 breaking changes 2018-02-06 10:20:41 -08:00
erwincoumans
13d67e8fc3 add bicycle resources and testBike.py script (use python -m pybullet_envs.examples.testBike after pip install pybullet) 
center shadow around camera target
 2018-01-31 22:17:15 -08:00
erwincoumans
aba4671358 Humanoid Flagrun Harder, PyBullet version (request from Danijar) 
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)
 2018-01-24 17:53:40 -08:00
Erwin Coumans
b8362fff94 PyBullet pybullet_envs: fix issue with Humanoid environments (excessive forces, due to lack of action clamping) 
PyBullet pybullet_envs: use 1./60 sleep, add enjoy_TF_HumanoidFlagrunHarderBulletEnv_v1_2017jul.py
 2018-01-24 16:02:19 -08:00
erwincoumans
851ca5bfb3 Improve PyBullet ports of Roboschool envs: fix reset (it kept adding stadium objects, causing slowdown), now reset uses saveState/restoreState and reset becomes a few orders of magnitude faster. 
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)
 2018-01-15 12:48:32 -08:00
Erwin Coumans
4798d66f19 fixes in kuka/racecar environment. kuka still doesn't train well, work-in-progress 2017-11-01 18:06:47 -07:00
Erwin Coumans
33d32d7ab4 add continuous version of kuka cam gym env test 2017-10-31 16:10:02 -07:00
Erwin Coumans
55f5e52ecd add continuous versions of kukaGymEnv, kukaCamGymEnv, racecarZEDGymEnv etc. 
should be trainable with PPO or evolution strategies (ES) now
 2017-10-31 15:50:34 -07:00
Erwin Coumans
5082d6af15 bump up pybullet version, instruction to visualize agents ppo: 
python -m pybullet_envs.agents.visualize_ppo -config=pybullet_pendulum --logdir=pendulum/20170927T101514-pybullet_pendulum/ --outdir=vid

tensorboard --logdir=20170927T101514-pybullet_pendulum --port=2222
 2017-09-27 10:26:45 -07:00
Erwin Coumans
c37919604f add minitaur environment randomizer, enable it by default 
this improves PPO training ( more stable)
 2017-09-27 09:07:21 -07:00
Erwin Coumans
c250a5f0b9 re-enable shared memory connection for pybullet Gym envs (with fallback to GUI or DIRECT) 
suppress shared memory connection warnings
add fallback from ER_BULLET_HARDWARE_OPENGL to TinyRenderer if not available
 2017-09-13 09:56:39 -07:00
Erwin Coumans
3891602784 enable continuous action space for racecarZEDGymEnv 
disable SHARED_MEMORY connection (it was just some debug test)
 2017-09-11 17:34:06 -07:00
Erwin Coumans
105c2c948f add simple 'runServer.py' script, that lets you run a GUI shared memory server to connect to 2017-09-11 09:38:55 -07:00
Erwin Coumans
466c853489 add testMJCF.py script, to visualize MJCF file 2017-09-10 10:45:38 -07:00
Erwin Coumans
de28334a70 tweak to testEnv.py, sample usage: 
python testEnv.py --rgb=1 --render=1 --step=100000 --env="HumanoidBulletEnv-v0"
 2017-09-09 16:36:42 -07:00
Erwin Coumans
4f47a223ef more fixes in Gym Ant to make reward the same as Roboschool, 
apparently feet_collision_cost is not properly updated in Roboschool,
for now, disable it in pybullet too: see https://github.com/openai/roboschool/issues/63
 2017-09-09 12:36:53 -07:00
Erwin Coumans
c144d9c045 add simple script to test some of the pybullet gym environments (work-in-progress/experimental) 2017-09-08 15:25:16 -07:00
Erwin Coumans
b0e50d0d5a pybullet Gym envs: add more sleep in the enjoy functions to see what's happening. 2017-09-07 11:17:38 -07:00
Erwin Coumans
1900966805 small rename 2017-08-27 19:54:20 -07:00
Erwin Coumans
3f00c7bd49 small tweak in vr_kuka_setup.py example 2017-08-27 19:53:38 -07:00
Erwin Coumans
c8cb0a5f42 add missing sphere_small.urdf, add vr_kuka_setup.py example. 2017-08-27 19:41:40 -07:00
Erwin Coumans
659e869b86 pybullet a bit more refactoring, moving around files. 
pybullet: move data to pybullet_data package, with getDataPath() method
 2017-08-27 18:08:46 -07:00
Erwin Coumans
e267f5c3d2 move pybullet.connect into the Gym environment. 
If you like to enable rendering, call the env.render(mode="human") before calling the first env.reset
 2017-08-26 14:58:48 -07:00
Erwin Coumans
51b7e1040f more fixes in the pybullet gym environments: use main instead of demo_run, 
add missing main to some eaxmples.

pip install pybullet
train:
python -m pybullet_envs.examples.train_pybullet_cartpole

enjoy:
python -m pybullet_envs.examples.enjoy_pybullet_cartpole

enjoy pretrained environments:

python -m pybullet_envs.examples.enjoy_TF_AntBulletEnv_v0_2017may
python -m pybullet_envs.examples.enjoy_TF_HalfCheetahBulletEnv_v0_2017may
python -m pybullet_envs.examples.enjoy_TF_AntBulletEnv_v0_2017may
python -m pybullet_envs.examples.enjoy_TF_HopperBulletEnv_v0_2017may
python -m pybullet_envs.examples.enjoy_TF_HumanoidBulletEnv_v0_2017may
python -m pybullet_envs.examples.enjoy_TF_InvertedDoublePendulumBulletEnv_v0_2017may
python -m pybullet_envs.examples.enjoy_TF_InvertedPendulumBulletEnv_v0_2017may
python -m pybullet_envs.examples.enjoy_TF_InvertedPendulumSwingupBulletEnv_v0_2017may
python -m pybullet_envs.examples.enjoy_TF_Walker2DBulletEnv_v0_2017may

Run some gym environment test:
python -m pybullet_envs.examples.racecarGymEnvTest

Create/Import a specific Gym environment:

python
import pybullet_envs
env = gym.make("AntBulletEnv-v0")
env = gym.make("HalfCheetahBulletEnv-v0")
env = gym.make("HopperBulletEnv-v0")
env = gym.make("HumanoidBulletEnv-v0")
env = gym.make("Walker2DBulletEnv-v0")
env = gym.make("InvertedDoublePendulumBulletEnv-v0")
env = gym.make("InvertedPendulumBulletEnv-v0")
env = gym.make("MinitaurBulletEnv-v0")
env = gym.make("RacecarBulletEnv-v0")
env = gym.make("KukaBulletEnv-v0")
env = gym.make("CartPoleBulletEnv-v0")
 2017-08-26 13:13:53 -07:00
Erwin Coumans
1fc148d5d0 fixes in racecarGymEnv: implement 'render' rgb image, fix in naming, 
fix in observation bounds.
 2017-08-24 22:01:45 -07:00
Erwin Coumans
f0c32b84c0 allow continuous control for MIT racecar gym environment, use differential drive version 2017-08-23 23:12:26 -07:00
Erwin Coumans
ff4270a517 fix pybullet racecarGymEnv to use thread-safe pybullet 2017-08-23 18:22:20 -07:00
Erwin Coumans
f19f28b5ed more fixes in pybullet/resources, moved enjoy/train/test in 'examples' folder. 2017-08-22 10:07:47 -07:00