📋 Task List#
Here we list the tasks supported by genesis_lr.
To start the training:
python legged_gym/scripts/train.py --task=task_name.To visualize the trained model:
python legged_gym/scripts/play.py --task=task_nameMore command line parameters can be seen in
legged_gym/utils/helpers.py/get_args()
Robot |
Task Name |
Description |
Paper |
|---|---|---|---|
Unitree Go2 |
go2 |
A simple example to train a go2 policy walking on plane |
|
go2_wtw |
Implementation of Walk These Ways on go2, supporting control of base height, base pitch angle, foot clearance, gait period and gait type |
Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior |
|
go2_ts |
Implementation of Teacher-Student on go2, for walking on tough terrains |
||
go2_ee |
Implementation of Explciit Estimator on go2, for walking on tough terrains |
||
go2_dreamwaq |
Implementation of DreamWaQ on go2, for walking on tough terrains |
||
go2_cat |
Constraints as Terminations on go2, for walking on tough terrains |
CaT: Constraints as Terminations for Legged Locomotion Reinforcement Learning |
|
go2_nav |
End-to-end local navigation on go2 |
Advanced Skills by Learning Locomotion and Local Navigation End-to-End |
|
go2_cts |
Implementation of Concurrent Teacher Student framework |
CTS: Concurrent Teacher-Student Reinforcement Learning for Legged Locomotion |
|
go2_ts_depth |
Depth estimation variant for go2 (ts_depth) |
||
Unitree G1 |
g1 |
A simple example to train a g1 policy walking on plane (only 12 dof, upper body fixed) |
|
g1_deepmimic |
Implementation of DeepMimic on Unitree G1 (29 dof) |
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills |
|
g1_motion_vis |
G1 motion visualization |
||
Limx TRON1PF |
tron1pf |
A simple example to train a tron1pf policy walking on plane |
|
tron1pf_ee |
Implementation of Explciit Estimator on tron1pf, for walking on tough terrains |
||
Limx TRON1SF |
tron1sf |
A simple example to train a tron1sf policy walking on plane |
|
Booster K1 |
k1 |
A simple example to train a k1 policy walking on plane |
|
k1_amp |
AMP on Booster K1 |
AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control |
|
k1_cts_amp |
CTS AMP on Booster K1 |
||
k1_motion_vis |
K1 Motion Visualization |
||
k1_deepmimic |
DeepMimic on Booster K1 (29 dof) |
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills |