Control a robotic hand as if it were your own — and feel exactly what it feels. The SenseGlove R1 is a professional haptic interface engineered for tele-operation and imitation learning. It delivers millimeter-level finger tracking and real-time bidirectional force feedback at robotics-grade precision.

This is not a VR peripheral. The R1 creates a live feedback loop between a human operator and a physical robotic hand — the robot's applied forces, grip pressures, and contact events are transmitted back to your fingers in real time through a 1 kHz control loop.

Specifications

• Finger tracking: 20 DoF, millimeter-level precision
• Update rate: ~1 kHz
• Latency: 10 ms (R1 to PC)
• Active force feedback: 4 actuators per glove
• Vibrotactile feedback: 8 actuators per glove
• Force sensing range: 10 – 2,500g per finger
• Interface: External tracker or grounded haptic arm
• Software: Python API, ROS 2, SenseCom
• Configuration: Left + right set standard — single hand option available

Features

Active force feedback with real-time pressure sensing A 1 kHz control loop renders the robot's applied forces to the operator's fingers instantly. When picking up a fragile object, the glove replicates that delicate pressure — ensuring safe, precise manipulation at all times.

Millimeter-level finger tracking 20 DoF tracking across all five fingers with mm-level accuracy. Perform micro-assembly, precision maintenance, and complex dexterous tasks with full confidence and repeatability.

Vibrotactile feedback Eight vibrotactile actuators deliver immediate cues about contact location, texture, and intensity — letting operators feel the difference between surfaces and receive real-time contact alerts.

Flexible deployment Use standalone with an external tracker or mount to a grounded haptic arm. Adaptable to lab, industrial, or research environments without additional infrastructure.

Python API and ROS 2 support Native integration with industry-standard robotics software stacks. Drops into existing ROS 2 pipelines with minimal overhead. Python API enables rapid prototyping and custom workflows.

Customization available SenseGlove works with enterprise customers on custom R1 configurations — incorporating specific sensors, form factors, or capabilities tailored to your robotic system.

Use Cases

Imitation learning Collect high-quality training data for robotic manipulation AI. Force feedback produces more natural human demonstrations and richer training datasets — research has shown haptic feedback improves data collection speed by 6% and AI model accuracy by 11%.

Direct tele-operation One-on-one control of dexterous robotic hands for precision tasks — micro-assembly, lab work, hazardous environment operations, or surgical assistance research.

Remote robotic fleet management Operate and error-correct robotic fleets from a remote location. A single skilled operator can supervise and correct multiple robots with full tactile awareness.

Robotics research and R&D Academic and research programs studying dexterous manipulation, human-robot interaction, haptic perception, and AI-driven robot learning.

Available Packages

Academic / R&D — $17,300 per set For universities, research institutes, and R&D labs.

• One set of R1 gloves (left + right)
• Academic license: SenseCom, ROS 2, Python API
• Optional single-hand configuration available ($10,650)
• Self-integration by your team

Industry Exploration — from $38,000 per project For companies evaluating tele-robotics feasibility.

• One set of R1 gloves
• 3-week preparation project with SenseGlove team
• 1-week onsite hackathon — integrated into your system
• 2-year license for all SenseGlove software and APIs
• Additional sets at standard pricing after the project

Industry Implementation — from $70,000 per project For organizations ready to deploy a full tele-op or imitation learning system.

• End-to-end design and implementation
• Integration with a single robotic hand (Seed, Tesollo, or equivalent)
• Custom scoping available — contact us for requirements

Note: Enterprise projects include a mandatory integration fee to ensure correct configuration and validated performance. Lead time is 4–6 months from confirmed order. Production runs in committed batches — contact us to secure your position.

SenseGlove R1 vs. Nova 2

If your use case is VR-based training, simulation, or enterprise soft skills — the Nova 2 is the right product. If you are working with physical robots, collecting imitation learning data, or building tele-operation systems — the R1 is what you need. Not sure? Contact us and we will confirm the right device for your program.

Available through Knoxlabs — US-based XR solutions partner. Request a quote or schedule a consultation at [email protected]