Resources

Learn manipulation, the GripSim way

Guides, benchmarks, docs, and research to help you ship robot dexterity faster.

Grounded in NVIDIA Isaac & GR00T research

NVIDIA InceptionIsaac LabGR00TJetson ThorOmniverseCosmos
Resource hub

Where to start

Pick a path based on your role.

Docs

Platform, API, and runtime references.

Benchmarks

How we measure grasp success and transfer.

Guides

From first pilot to fleet rollout.

Research

Cross-embodiment and contact-model notes.

Tutorials

Fine-tune a policy step by step.

Support

Talk to our engineers.

Featured

The manipulation bottleneck, explained

Our flagship read on why manipulation — not hardware — is the blocker for the robot economy.

  • Why grasping is hard
  • What cross-embodiment changes
  • How the flywheel compounds
Learning path

Get productive fast

1

Read

Start with the manipulation bottleneck.

2

Try

Simulate grasps in the Simdex sandbox.

3

Build

Fine-tune a policy for your hand.

4

Ship

Deploy on-robot with Reflex.

Weekly
New resources
Open
Benchmarks
Free
To read
Readers

What people get from it

“The benchmark posts are genuinely useful.”
ML Eng
Lab [placeholder]
“Guides cut our ramp-up time.”
Robotics Lead
OEM [placeholder]
“Clear, no-hype writing.”
Engineer
Integrator [placeholder]
By role

Resources tailored to you

Engineers, operators, and researchers each get a focused path.

  • Engineers: API & runtime docs
  • Operators: rollout playbooks
  • Researchers: benchmark notes
Resources FAQ

Questions

Is the content free?
Yes — guides, benchmarks, and the blog are open.
Do you publish research?
We share applied notes on cross-embodiment and contact models.
Where are the docs?
Linked from the resource hub above [placeholder].
Why GripSim

Built for production robotics

The manipulation layer teams ship with, not a research demo.

Cross-embodiment by design

One policy runs across many grippers and hands — no per-robot rewrite.

Closed-loop with touch

Tactyl predicts slip and force so grasps react before they fail.

Runs on the robot

Reflex executes on Jetson at control-loop latency, with safety limits.

A moat that compounds

Every deployment feeds the shared model through the data flywheel.

Stay in the loop

Manipulation research, in your inbox

Benchmarks, sim-to-real notes, and product updates. No hype, no spam.

Keep learning

Read the blog or talk to our team about your task.