Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

Isaac Teleop

Isaac Teleop

The unified framework for high-fidelity ego-centric and robotics data collection.

Python Isaac Lab numpy License


Overview

Isaac Teleop: The unified standard for high-fidelity egocentric and robot data collection. It is designed to address the data bottleneck in robot learning by streamlining device integration; standardizing high-fidelity human demo data collection; and foster device & data interoperability.

Key Features

  • Unified stack for sim & real teleoperation
  • Standardized device interface
  • Flexible retargeting framework

See the Ecosystem page for supported robotics stacks, devices, and retargeting details.

Teleoperation Use Cases

  • Currently supported use cases
    • Use XR headsets for gripper / tri-finger hand manipulation
    • Use XR headsets with gloves for dex-hand manipulation
    • Seated full body loco-manipulation (Homie)
    • Tracking based full body loco-manipulation with GR00T-WholeBodyControl (SONIC)
    • Egocentric data collection (aka “no-robot”)
  • Upcoming use cases
    • Teleoperate using only non-XR devices (e.g. gamepad, Gello, haply, etc.)
    • Teleoperate cloud based robotics simulations
    • Remote teleoperation with camera streaming to the desktop
    • Remote teleoperation with immersive camera streaming to XR headsets

Quick Start

Documentation

Our documentation page provides everything you need to get started, including detailed tutorials and step-by-step guides. Follow these links to learn more:

Install & Run Isaac Lab

Isaac Teleop is design to work side by side with NVIDIA Isaac Lab starting with Isaac Lab 3.0 Beta release.

To get started, please refer to Isaac Lab's Installation guide for more details. Then follow the CloudXR teleoperation in Isaac Lab to get started with Teleoperation in Sim.

Release files for isaacteleop 1.5.102rc1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for isaacteleop 1.5.102rc1
File
isaacteleop-1.5.102rc1-cp313-cp313-manylinux_2_35_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.35+ x86-64 Details
isaacteleop-1.5.102rc1-cp313-cp313-manylinux_2_35_aarch64.whl CPython 3.13 CPython 3.13 Linux glibc 2.35+ ARM64 Details
isaacteleop-1.5.102rc1-cp312-cp312-manylinux_2_35_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.35+ x86-64 Details
isaacteleop-1.5.102rc1-cp312-cp312-manylinux_2_35_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.35+ ARM64 Details
isaacteleop-1.5.102rc1-cp311-cp311-manylinux_2_35_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.35+ x86-64 Details
isaacteleop-1.5.102rc1-cp311-cp311-manylinux_2_35_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.35+ ARM64 Details

Total release size: 172.0 MB

Release files / isaacteleop-1.5.102rc1-cp313-cp313-manylinux_2_35_x86_64.whl

Download URL isaacteleop-1.5.102rc1-cp313-cp313-manylinux_2_35_x86_64.whl
Size 26.6 MB
Tags CPython 3.13 Linux glibc 2.35+ x86-64
SHA-256 checksum
How to use checksums
5e28ba1c1b740c56f1a0c67ab1b1e68a69c00d7a64104edcd65b6220d5c2ed75
BLAKE2b-256 checksum
How to use checksums
aa04eace501294eb39b0e09fe089edb9aa6bdbb9f687dd26732371da32b29a9e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.6

Release files / isaacteleop-1.5.102rc1-cp313-cp313-manylinux_2_35_aarch64.whl

Download URL isaacteleop-1.5.102rc1-cp313-cp313-manylinux_2_35_aarch64.whl
Size 30.7 MB
Tags CPython 3.13 Linux glibc 2.35+ ARM64
SHA-256 checksum
How to use checksums
fb2bc809ed1d9243cc61c5325ec5a3002c747f6eb5b5685226ffebf4e07bb21c
BLAKE2b-256 checksum
How to use checksums
1b8c3f055cfff2ed4fa40b4d1cffb8a4721e9cbeea786c91391351bed46a1551
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.6

Release files / isaacteleop-1.5.102rc1-cp312-cp312-manylinux_2_35_x86_64.whl

Download URL isaacteleop-1.5.102rc1-cp312-cp312-manylinux_2_35_x86_64.whl
Size 26.6 MB
Tags CPython 3.12 Linux glibc 2.35+ x86-64
SHA-256 checksum
How to use checksums
812183d2c7741583a68c44856f31d58542244cc6f7d32c716a100126a3a9ec0f
BLAKE2b-256 checksum
How to use checksums
a5677c7698bfa4a385d0b2e3eaf63ddd227c508ad561a5c4f1a983086e61db9a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.6

Release files / isaacteleop-1.5.102rc1-cp312-cp312-manylinux_2_35_aarch64.whl

Download URL isaacteleop-1.5.102rc1-cp312-cp312-manylinux_2_35_aarch64.whl
Size 30.7 MB
Tags CPython 3.12 Linux glibc 2.35+ ARM64
SHA-256 checksum
How to use checksums
7e86a8bc2438dad96bab85dcedda89f9022c3626068050d47f0b5e87f418cd74
BLAKE2b-256 checksum
How to use checksums
833b17a0c2535e9b8a8bdfeb82a3bfec67c46b19692030a95eb478431f5a4299
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.6

Release files / isaacteleop-1.5.102rc1-cp311-cp311-manylinux_2_35_x86_64.whl

Download URL isaacteleop-1.5.102rc1-cp311-cp311-manylinux_2_35_x86_64.whl
Size 26.6 MB
Tags CPython 3.11 Linux glibc 2.35+ x86-64
SHA-256 checksum
How to use checksums
cea53735d132fdaff371e13ddcebe86937ef18b22c8985bb57554a66b5122ca2
BLAKE2b-256 checksum
How to use checksums
6e801c6b7e2f6253ccf3c22fe93a079fb3509bd26d32ecdbe93d0e79b66c9fc3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.6

Release files / isaacteleop-1.5.102rc1-cp311-cp311-manylinux_2_35_aarch64.whl

Download URL isaacteleop-1.5.102rc1-cp311-cp311-manylinux_2_35_aarch64.whl
Size 30.8 MB
Tags CPython 3.11 Linux glibc 2.35+ ARM64
SHA-256 checksum
How to use checksums
8b8ab04fb204cd717fac4a32ab8d10ca95051cd1fc246a0e6437992a055b219b
BLAKE2b-256 checksum
How to use checksums
8bbe0e2aa9f0f59f0d1f6149a87f71d76e833c5f110e5b8ff0ad72f8abb2032a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.6

Release history Release notifications | RSS feed

This release

1.5.102rc1 This release

6 release files

1.1.8

6 release files

1.1.5

6 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page