AgiBot A2 VR Teleoperation Kit

The AgiBot A2 VR Teleoperation Kit is a virtual-reality-based remote operation system designed to let an operator control selected AGIBOT humanoid robots with real-time motion mapping, low-latency command transmission, and live video feedback. On its official product page, AGIBOT positions the kit as a VR teleoperation solution compatible only with AGIBOT A2 Ultra and AGIBOT A2 Lite, integrating operator control, camera return video, and safety mechanisms intended to reduce unintended robot motion during remote manipulation.

In stock

MERKI:
AGIBOT
HLUTI #:
OmniHand 2025
ORIGIN:
Kína
AVAILABILITY:
SUBJECT TO AVAILABILITY
SKU:
AgiBot-A2-VR
3.915,46 EUR
Án VSK: 3.915,46 EUR
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AgiBot A2 VR Teleoperation Kit

In practical deployments, VR teleoperation kits are used to enable human-in-the-loop control: an operator performs natural arm and hand motions, which the robot mirrors (within configured limits), allowing tasks such as grasping, demonstration, inspection, or data collection in scenarios where full autonomy is impractical or where safety, speed of setup, and demonstration fidelity are priorities. The A2 VR Teleoperation Kit is presented within AGIBOT’s broader “embodied AI” ecosystem alongside software tooling and development resources, including a control workflow referenced as AimMaster/AimMaster “one-click” record and playback for action capture.


Design and Features

VR-first operator interface and action workflow

AGIBOT highlights a Quick Operation Panel designed to “record and play actions with one click via AimMaster,” suggesting the kit is intended not only for live teleoperation but also for rapid creation of repeatable action sequences that can be replayed for demonstrations, training, or consistency testing.

This workflow is typical of modern teleoperation systems used to generate demonstration data and reduce repeated manual effort: an operator performs an action once, records it, and then replays it for repeatability or as a baseline for refinement.

Real-time motion mapping and gesture switching

The kit’s key interaction layer is described as Real-time Motion Mapping, where the robot’s arms follow human arm movements, enabling intuitive “move-as-you-move” control rather than purely joystick-based command inputs.

AGIBOT also lists Multi-gesture Rapid Switching, described as “three preset gestures to adapt to different task requirements,” indicating that the operator can switch between predefined gesture modes rather than relying on continuous free-form hand states at all times.
In operational terms, preset gesture sets can simplify task transitions (for example, switching between a “ready” pose, a grasping pose, and a neutral pose) and reduce operator fatigue or configuration overhead.

Dexterous hand precision control

A distinct capability highlighted on the product page is Dexterous Hand Precision Control, described as “finger motion synchronization for agile grasping.”
This indicates that the teleoperation loop is intended to extend beyond arm pose replication to finger-level coordination—an important differentiator for humanoid manipulation tasks that require stable grasping, pinch-like motion, or controlled release.

Low-latency interaction and video feedback

Teleoperation quality is often constrained by latency. AGIBOT explicitly publishes target latencies for both command and video pathways:

  • Control-command latency: 50 ms (wired) and 100 ms (wireless)

  • Beyond-visual-range (BVR) video streaming latency: 150 ms (wired) and 200 ms (wireless)

These values frame the system as oriented toward responsive “feel” during remote operation, particularly important for grasping and alignment tasks where delayed feedback can reduce precision.

Safety protection mechanism

AGIBOT describes a Safety Protection Mechanism with “built-in joint limit and collision detection to prevent accidental movements.”
Safety constraints are essential in VR teleoperation because operator motion can be faster or larger than what is safe for the robot’s immediate environment. Joint limit enforcement, collision detection, and constrained control modes help reduce risk to surrounding people, objects, and the robot itself.


Technology and Specifications

AGIBOT publishes a structured set of “Product Parameters” describing control, accuracy, degrees of freedom, and camera return characteristics.

Control method and tracking accuracy

The kit is described as using incremental control as its control method.
Tracking accuracy metrics published include:

  • Position tracking accuracy: “millimeter level” (Euclidean accuracy)

  • Angle tracking accuracy: 3 degrees

These values are relevant to tasks that require tight alignment (placing an object, aligning a tool, or operating near fixtures), where both translational and rotational tracking contribute to success.

Remote operation degrees of freedom

AGIBOT lists 26 remote operation degrees of freedom, broken out on the page as a combination of hand gestures, arm motion, hip, squat, and walk-related controls.
This suggests the kit supports more than arm/hand motion alone, extending into at least partial body and locomotion command layers.

Video return specifications and voice dialogue

For “beyond-visual-range” operation (i.e., operating without direct line-of-sight), AGIBOT lists two camera return streams:

  • Neck camera: 1920×1535 at 30 fps

  • Chest camera: 1280×720 at 30 fps

The page also indicates real-time low-latency voice dialogue, implying integrated audio suitable for operator coordination or on-site communication during remote tasks.

Platform compatibility

Compatibility is explicitly stated as AGIBOT A2 Ultra and AGIBOT A2 Lite on the kit’s product page.
This matters for procurement and integration planning because teleoperation support is often tightly coupled to robot kinematics, actuator control layers, safety policies, and sensor pipelines.


Applications and Use Cases

Remote manipulation for hazardous or restricted environments

VR teleoperation is commonly adopted to keep human operators out of hazardous areas while still enabling high-dexterity tasks. The A2 VR Teleoperation Kit’s combination of finger synchronization, low command latency, and collision/joint-limit safety policies aligns with controlled manipulation in restricted zones—particularly where autonomy is not validated or where the environment changes too quickly for preprogramming.

Data capture for training and demonstration learning

The “record and play actions” workflow supports use cases where demonstrations are captured for repeatable runs and for building datasets that can later be used for imitation learning, policy training, or regression testing.
In many embodied AI programs, VR teleoperation is used specifically to generate consistent, labeled demonstrations with synchronized video and action traces.

Human-in-the-loop inspection and telepresence

With BVR video streaming (neck and chest camera feeds) and voice dialogue, the kit fits scenarios where operators need to inspect equipment, navigate indoor spaces, or provide remote presence for guided tasks.
For organizations evaluating humanoids, teleoperation is often the fastest way to validate reach, grasping, and navigation in a real facility before investing in autonomy development.

Rapid prototyping and integration testing

Teleoperation is also a practical tool for system bring-up: integration teams can test new end-effectors, grippers, or control constraints by manually operating the robot through representative motions, verifying stability, safety boundaries, and camera framing in a controlled manner.


Advantages / Benefits

Natural control and faster onboarding

Motion-mapped teleoperation reduces the cognitive load compared with purely joystick-based systems by allowing operators to use natural arm and hand motion, while preset gesture switching can reduce mode complexity during task transitions.

Responsiveness for manipulation work

Published latencies (50–100 ms for control, 150–200 ms for BVR video) are presented as enabling smooth feedback and real-time response—key to stable grasping and fine placement tasks.

Safety constraints for real environments

Joint limits and collision detection are essential for operating near people, fixtures, and equipment. The kit’s built-in protection mechanisms are positioned as safeguards against accidental movements during immersive operation.

Supports repeatability through action recording

One-click recording and playback via AimMaster provides an operational bridge between live teleoperation and repeatable sequences, useful for demonstrations, regression testing, and iterative improvements.


FAQ Section

What is the AgiBot A2 VR Teleoperation Kit?

It is a VR-based teleoperation system that enables remote control of compatible AGIBOT humanoid robots using real-time motion mapping, live video feedback, and safety protections such as joint limits and collision detection.

How does the AgiBot A2 VR Teleoperation Kit work?

The kit maps an operator’s arm and hand movements to the robot (including finger motion synchronization), provides camera return streams for beyond-visual-range operation, and uses low-latency control and video channels to keep operation responsive.

Why is the AgiBot A2 VR Teleoperation Kit important?

VR teleoperation can deliver usable manipulation capability before full autonomy is ready, supports safer operation in restricted environments, and can record and replay actions for repeatable demos, testing, or training-data capture.

What are the benefits of the AgiBot A2 VR Teleoperation Kit?

Key benefits include real-time motion mapping for intuitive control, published low-latency command and video pathways, finger-level grasp control, rapid switching between preset gestures, and safety mechanisms to reduce accidental movements.


Summary

The AgiBot A2 VR Teleoperation Kit is positioned as a low-latency, motion-mapped VR control system for AGIBOT humanoid platforms, designed to support real-time arm tracking, finger synchronization for grasping, preset gesture switching, and beyond-visual-range operation with dual camera return streams and voice dialogue. Its published performance targets (including 50–100 ms command latency and 150–200 ms BVR video latency), millimeter-level position tracking, and built-in safety protections reflect a focus on practical remote manipulation and repeatable action workflows, especially for evaluation, deployment pilots, and human-in-the-loop embodied AI applications.

 

Specifications

HLUTI # OmniHand 2025
ROBOT TYPE HAND
TOTAL DOF 16 DEGREES OF FREEDOM
SINGLE HAND LOAD 2 kg
SECONDARY DEVELOPMENT SUPPORTED
MERKI AGIBOT
LENGDUR 180 mm
BREID 85 mm
DÝPT 38.5 mm
ÞYNGD 500 grams

What's included

Agibot Omnihand 2025 (OmniHand 2025)

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