Clarifies kit-less installation in docs (#5045)

# Description

Clarifies kit-less installation in docs and move it to its own page to
be consistent with other installation methods.
Hides Newton sim2sim and sim2real documentation as those examples are
not yet available.

## Type of change

- Documentation update

## Checklist

- [x] I have read and understood the [contribution
guidelines](https://isaac-sim.github.io/IsaacLab/main/source/refs/contributing.html)
- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [ ] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

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Author: kellyguo11

README.md

@@ -56,6 +56,12 @@ detailed tutorials and step-by-step guides. Follow these links to learn more abo
 - [Tutorials](https://isaac-sim.github.io/IsaacLab/main/source/tutorials/index.html)
 - [Available environments](https://isaac-sim.github.io/IsaacLab/main/source/overview/environments.html)
 
+## Performance Dashboard
+
+We continuously benchmark Isaac Lab across different physics backends, renderers, and data types.
+The **[Isaac Lab Performance Dashboard](https://nvidia.github.io/omniperf/)** provides interactive
+charts showing preset comparison results, performance history, and environment scaling data from
+our internal CI/CD benchmarks.
 
 ## Isaac Sim Version Dependency
 

docs/source/experimental-features/newton-physics-integration/index.rst

@@ -17,7 +17,7 @@ features for other reinforcement learning and imitation learning workflows in th
 a good lens through which to understand how Newton integration works in Isaac Lab.
 
 We have validated Newton simulation against PhysX by transferring learned policies from Newton to PhysX and vice versa
-Furthermore, we have also successfully deployed a Newton-trained locomotion policy to a G1 robot. Please see :ref:`here <sim2real>` for more information.
+Furthermore, we have also successfully deployed a Newton-trained locomotion policy to a G1 robot.
 
 Newton can support `multiple solvers <https://newton-physics.github.io/newton/latest/api/newton_solvers.html>`_ for handling different types of physics simulation, but for the moment, the Isaac
 Lab integration focuses primarily on the MuJoCo-Warp solver.
@@ -40,5 +40,3 @@ For an overview of how the multi-backend architecture works, including how to ad
   installation
   limitations-and-known-bugs
   solver-transitioning
-  sim-to-sim
-  sim-to-real

docs/source/experimental-features/newton-physics-integration/sim-to-real.rst

@@ -599,7 +599,6 @@ Further Resources
 
 - `IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality <https://arxiv.org/abs/2305.17110>`_
 - `FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty <https://arxiv.org/abs/2408.04587>`_
-- Sim-to-Real Policy Transfer for Whole Body Controllers: :ref:`sim2real` - Shows how to train and deploy a whole body controller for legged robots using Isaac Lab with the Newton backend
 - `Isaac ROS Manipulation Documentation <https://nvidia-isaac-ros.github.io/reference_workflows/isaac_for_manipulation/index.html>`_
 - `Isaac ROS Gear Assembly Tutorial <https://nvidia-isaac-ros.github.io/reference_workflows/isaac_for_manipulation/tutorials/sim_to_real/tutorial_gear_assembly.html>`_
 - RL Training Tutorial: :ref:`tutorial-run-rl-training`