gen_data_curobo/CHANGELOG.md

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# Changelog

## Version 0.7.0
### Changes in default behavior
- Increased default collision cache to 50 in RobotWorld.
- Changed `CSpaceConfig.position_limit_clip` default to 0 as previous default of 0.01 can make 
default start state in examples be out of bounds. 
- MotionGen uses parallel_finetune by default. To get previous motion gen behavior, pass 
`warmup(parallel_finetune=False)` and `MotionGenPlanConfig(parallel_finetune=False)`.
- MotionGen loads Mesh Collision checker instead of Primitive by default.
- UR10e and UR5e now don't have a collision sphere at tool frame for world collision checking. This 
sphere is only active for self collision avoidance.
- With torch>=2.0, cuRobo will use `torch.compile` instead of `torch.jit.script` to generate fused 
kernels. This can take several seconds during the first run. To enable this feature, set 
environment variable `export CUROBO_TORCH_COMPILE_DISABLE=0`.

### Breaking Changes
- Renamed `copy_if_not_none` to `clone_if_not_none` to be more descriptive. Now `copy_if_not_none`
will try to copy data into reference.
- Renamed `n_envs` in curobo.opt module to avoid confusion between parallel environments and 
parallel problems in optimization.
- Added more inputs to pose distance kernels. Check `curobolib/geom.py`.
- Pose cost `run_vec_weight` should now be `[0,0,0,0,0,0]` instead of `[1,1,1,1,1,1]`
- ``max_distance`` is now tensor from ``float`` and is an input to collision kernels.
- Order of inputs to ``SweptSdfMeshWarpPy`` has changed. 


### New Features
- Add function to disable and enable collision for specific links in KinematicsTensorConfig. 
- Add goal index to reacher results to return index of goal reached when goalset planning.
- Add locked joint state update api in MotionGen class.
- Add goalset warmup padding to handle varied number of goals during goalset planning and also when
calling plan_single after warmup of goalset. 
- Add new trajopt config to allow for smooth solutions at slow speeds (`velocity_scale<=0.25`). Also
add error when `velocity_scale<0.1`.
- Add experimental robot image segmentation module to enable robot removal in depth images.
- Add constrained planning mode to motion_gen.
- Use `torch.compile` to leverage better kernel fusion in place of `torch.jit.script`. 
- Significantly improved collision computation for cuboids and meshes. Mesh collision checker is 
now only 2x slower than cuboid (from 5x slower). Optimization convergence is also improved. 
- LBFGS kernels now support ``history <= 31`` from ``history <= 15``.
- 2x faster LBFGS kernel that allocates upto 68kb of shared memory, preventing use in CUDA devices 
with compute capability ``<7.0``.
- On benchmarking Dataset, Planning time is now 42ms on average from 50ms. Higher quality solutions 
are also obtained. See [benchmarks](https://curobo.org/source/getting_started/4_benchmarks.html) for more details.
- Add ``WorldCollisionVoxel``, a new collision checking implementation that uses a voxel grid 
of signed distances (SDF) to compute collision avoidance metrics. Documentation coming soon, see
``benchmark/curobo_voxel_benchmark.py`` for an example.
- Add API for ESDF computation from world representations, see 
``WorldCollision.get_esdf_in_bounding_box()``.
- Add partial support for isaac sim 2023.1.1. Most examples run for UR robots. `Franka Panda` is 
unstable.

### BugFixes & Misc.
- refactored wp.index() instances to `[]` to avoid errors in future releases of warp.
- Fix bug in gaussian transformation to ensure values are not -1 or +1.
- Fix bug in ik_solver loading ee_link_name from argument.
- Fix bug in batch_goalset planning, where pose cost was selected as GOALSET instead of 
BATCH_GOALSET.
- Added package data to also export `.so` files.
- Fixed bug in transforming link visual mesh offset when reading from urdf. 
- Fixed bug in MotionGenPlanConfig.clone() that didn't clone the state of parallel_finetune.
- Increased weighting from 1.0 to 10.0 for optimized_dt in TrajEvaluator to select shorter 
trajectories.
- Improved determinism by setting global seed for random in `graph_nx.py`.
- Added option to clear obstacles in WorldPrimitiveCollision.
- Raise error when reference of tensors change in MotionGen, IKSolver, and TrajOpt when cuda graph
is enabled.
- plan_single will get converted to plan_goalset when a plan_goalset was used to initialize cuda 
graph.
- plan_goalset will pad for extra goals when called with less number of goal than initial creation.
- Improved API documentation for Optimizer class.
- Set `use_cuda_graph` to `True` as default from `None` in `MotionGenConfig.load_from_robot_config`
- Add batched mode to robot image segmentation, supports single robot multiple camera and batch 
robot batch camera. 
- Add `log_warn` import to `arm_reacher.py`
- Remove negative radius check in self collision kernel to allow for self collision checking with
spheres of negative radius.
- Added `conftest.py` to disable `torch.compile` for tests.
- Added UR5e robot with robotiq gripper (2f-140) with improved sphere model.
- Fix bug in aarch64.dockerfile where curobo was cloned to wrong path.
- Fix bug in aarch64.dockerfile where python was used instead of python3.
- Remove unused variables in kernels. 
- Added ``pybind11`` as a dependency as some pytorch dockers for Jetson do not have this installed.
- Fix incorrect dimensions in ``MotionGenResult.success`` in ``MotionGen.plan_batch()`` when 
trajectory optimization fails.
- Added unit tests for collision checking functions.
- Fix bug in linear interpolation which was not reading the new ``optimized_dt`` to interpolate
velocity, acceleration, and jerk.
- Remove torch.jit.script wrapper for lbfgs as it causes TorchScript error if history is different
between trajopt and finetune_trajopt.


### Known Bugs (WIP)
- `Franka Panda` robot loading from urdf in isaac sim 2023.1.1 is unstable. 

## Version 0.6.2
### New Features
- Added support for actuated axis to be negative (i.e., urdf joints with `<axis xyz="0 -1 0"/>` are
now natively supported).
- Improved gradient calculation to account for terminal state. Trajectory optimization can reach 
within 1mm of accuracy (median across 2600 problems at 0.017mm).
- Improved estimation of previous positions based on start velocity and acceleration. This enables 
Trajectory optimization to optimize from non-zero start velocity and accelerations.
- Added graph planner and finetuning step to joint space planning (motion_gen.plan_single_js). This
improves success and motion quality when planning to reach joint space targets.
- Added finetuning across many seeds in motion_gen, improving success rate and motion quality.
- Add urdf support to usd helper to export optimization steps as animated usd files for debugging 
motion generation. Check `examples/usd_examples.py` for an example.
- Retuned weights for IK and Trajectory optimization. This (+ other fixes) significantly improves 
pose reaching accuracy, IK accuracy improves by 100x (98th percentile < 10 micrometers) and motion 
generation median at 0.017mm (with). IK now solves most problems with 24 seeds (vs 30 seeds prev.).
Run `benchmark/ik_benchmark.py` to get the latest results.
- Added `external_asset_path` to robot configuration to help in loading urdf and meshes from an 
external directory.


### BugFixes & Misc.
- Update nvblox wrappers to work with v0.0.5 without segfaults. Significantly improves stability.
- Remove mimic joints in franka panda to maintain compatibility with Isaac Sim 2023.1.0 and 2022.2.1
- Cleanup docker scripts. Use `build_docker.sh` instead of `build_dev_docker.sh`. Added isaac sim 
development docker.
- Fixed bug in backward kinematics kernel, helped improve IK and TO pose reaching accuracy.. 
- Changed `panda_finger_joint2` from `<axis xyz="0 1 0"/>`
 to `<axis xyz="0 -1 0"/>` in `franka_panda.urdf` to match real robot urdf as cuRobo now supports
 negative axis.
- Changed benchmarking scripts to use lock joint state of [0.025,0.025] for mpinets dataset. 
- Added scaling of mesh to Mesh.get_trimesh_mesh() to help in debugging mesh world.
- Improved stability and accuracy of MPPI for MPC.
- Added NaN checking in STOMP covariance computation to account for cases when cholesky decomp 
fails.
- Added ground truth collision check validation in `benchmarks/curobo_nvblox_benchmark.py`.

### Performance Regressions
- cuRobo now generates significantly shorter paths then previous version. E.g., cuRobo obtains
2.2 seconds 98th percentile motion time on the 2600 problems (`benchmark/curobo_benchmark.py`), 
where previously it was at 3 seconds (1.36x quicker motions). This was obtained by retuning the 
weights and slight reformulations of trajectory optimization. These changes have led to a slight 
degrade in planning time, 20ms slower on 4090 and 40ms on ORIN MAXN. We will address this slow down
in a later release. One way to avoid this regression is to set `finetune_dt_scale=1.05` in 
`MotionGenConfig.load_from_robot_config()`.


## Version 0.6.1

- Added changes to `examples/isaac_sim` to support Isaac Sim 2023.1.0
- Added dockerfiles and notes to run cuRobo from a docker
- Minor cleanup of examples
- Added option to generate log with UsdHelper from URDF file (check `examples/usd_example.py`)
- Fix typos in robot sphere generation tutorial (thanks @cedricgoubard)

## Version 0.6.0

- First version of CuRobo.