Construction
Tool handling, assembly movements and skilled manual operations, captured as demonstrations for future construction robotics.
Tool handling · Assembly · Manual operations
KNK Robotics™ · Powered by TekGlove Technology
Human intelligence.
Robotic learning.
An industrial wearable in development for construction, logistics and manufacturing. Supporting the person wearing it while exploring how skilled human actions can become training data for robots.
Kinetik · The robotics direction of TekGlove
Teaching machines
through human hands.
Skilled workers know how to handle tools, manipulate objects and complete complex physical tasks. KNK Robotics aims to capture those demonstrations through movement, grip, gesture and interaction data.
The ambition is to help robotic arms, industrial robots and humanoid systems learn from that experience, while bringing comfort and feedback features to the wearable itself.
Explore KinetikProposed technology
Support the worker.
Understand the work.
The Smart Dorsal Sensor anchors a system of connected sensors and optional comfort and feedback features.
- Smart Dorsal Sensor
- The central sensing and processing module, mounted on the back of the hand.
- Hand-data capture
- Movement and gestures, with additional finger and grip sensors proposed for pressure and finger-position data.
- Haptic vibration
- Task feedback and proposed safety alerts through tactile signals.
- Adjustable heating
- Controlled warmth for cold working environments, subject to safety testing.
- Optional TENS
- Electrical stimulation proposed for appropriate pain-management applications. Suitability, controls and operating conditions require validation.
- Robotic learning
- Demonstration datasets intended for AI training and robotic imitation learning. The capture-to-training workflow remains to be demonstrated.
Built around
real work.
Three industrial settings shaping the direction of KNK Robotics. Each brings different tasks, environments and handling requirements.
Logistics
Picking, packing, sorting and grasping demonstrations for warehouse automation and robotic manipulation.
Picking · Packing · Sorting
Manufacturing
Precision assembly, tool use and repetitive tasks as a source of demonstrations for industrial robotic learning.
Assembly · Tool use · Repetitive tasks
The proposed workflow
From demonstration
to training data.
- Step 1
Human worker
Performs real-world industrial tasks using their existing skills.
- Step 2
TekGlove sensing
Captures hand movement and connected finger and grip sensor data.
- Step 3
KNK Robotics data platform
The proposed platform synchronises, labels and processes demonstrations.
- Step 4
Robotic learning
Prepared demonstrations become training inputs for robotic arms, humanoids and automation systems.
This is the intended development workflow. Dataset quality, synchronisation and transfer to robotic systems need to be demonstrated and tested.
Development with
the worker in mind.
TENS, heating and vibration require appropriate safety controls and validation, particularly around heavy machinery. Operating conditions and supported features will be defined through testing. The concept does not establish pain-treatment outcomes or validated safety protection.
Help shape
KNK Robotics.
Interested in industrial wearables, human demonstrations or robotic learning? Join the TekGlove waitlist for development updates.
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