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44 Commits

Author SHA1 Message Date
Erwin Coumans
3c74ae8366 Add approximate Mini Cheetah URDF and example in pybullet 
Thanks to Sangbae Kim and Donghyun Kim at the MIT Biomimetics Robotics Lab
 2019-05-31 14:21:10 -07:00
Erwin Coumans
1933661124 change quadruped, remove old files 2019-05-30 14:55:47 -07:00
erwincoumans
7a7652fd43 Merge pull request #2265 from akien-mga/dos2unix 
Convert DOS (CRLF) source files to Unix (LF) line endings
 2019-05-30 09:41:35 -07:00
Erwin Coumans
d7e863e51a update microtaur URDF and example, to be compatible with minitaur_rainbow_dash 2019-05-22 10:59:20 -04:00
Rémi Verschelde
d85b800702 Convert DOS (CRLF) source files to Unix (LF) line endings 
Excluded `examples/pybullet/gym/pybullet_data/` which has many (3000+)
CRLF data files (obj, mtl, urdf), and `docs/pybullet_quickstart_guide`
which has generated .js and .htm files with CRLF line endings too.
 2019-05-22 10:01:32 +02:00
Erwin Coumans
af5bfb4089 added Microtaur URDF file, with basic system identification 
See https://www.youtube.com/watch?v=UmGnLgpEVTE
 2019-05-21 22:33:16 -04:00
Erwin Coumans
ef9570c315 add yapf style and apply yapf to format all Python files 
This recreates pull request #2192
 2019-04-27 07:31:15 -07:00
erwincoumans
28c9ea3aad PyBullet: add domino asset and example 2019-02-10 19:44:39 -08:00
Erwin Coumans
0818112ede fix some gym envs 2019-01-28 16:21:52 -08:00
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