tacniq.ai
ARRIVING EARLY 2022
Hello, meet the newTac-01
The Tac-01 provides robots with the sense of touch via a synergistic combination of tactile sensors and artificial intelligence for intelligent robot manipulation.
The sensors and our tactile intelligence algorithms will be available soon as a development kit for purchase.
APPLICATIONS
Sensors to enable the next generation of perception
Our next generation AI-enabled low-latency tactile sensors for robotic and health applications, built upon a decade of research and testing here in sunny Singapore.
Select a tab Delicate Grasping Tactile Visualisation Slip Detection Pick and Place
Our sensors are able to grasp delicate and fragile objects, without any prior knowledge of the items.
TECHNOLOGY
Neuromorphic sensors for a new class of tactile intelligence
We build upon know-how from the fields of bioengineering and computer science to engineer a sensor that mimics the human sensory system.
Tactile Acumen
Our Asynchronously Coded Electronic Skin (ACES) platform, an event-based neuro-mimetic architecture, enables responsive, asynchronous transmission of tactile information for dexterous manipulation tasks that require rapid detection of object slippage and object hardness.
High-Frequency, Low-Latency Data
Tactile stimuli can be transmitted at up to 4 kHz, faster than the average human.
40 Taxels per Sensor
Each sensor has 40 taxels (tactile pixels) arranged in a 8x5 grid to provide good spatial resolution.
Event-based or Synchronous-based Tactile Data
Work with data in the synchronous-based or event-based form.
Raw sensor layer, below the protective "skin"
Tactile Intelligence
Our sensors come integrated with our novel Machine Learning models, which uses data from ACES, for fast and accurate tactile perception.
Smart Self-Calibration
Built-in self-calibration algorithm allows the user to calibrate the sensors easily, even after many cycles of wear and tear.
Slip Detection
The slip detection algorithm is able to recognise when the dynamics of the robot causes the object to slip from the grasp, and react accordingly.
GraspForceNet
Our novel GraspForceNet AI model is used to ensure that the forces applied by the gripper does not deform or damage the objects.
Our smart calibration routine uses three object types to run the calculations: soft, hard, intermediate
TAC-01 DEVELOPMENT KIT
Everything you need to get started
Each set of our development kit comes with a pair of the latest Tac-01 sensors, and access to our tactile intelligence APIs with seamless integrations with various robotic grippers.
Next Generation Hardware
Plug-and-play tactile sensors, with an intelligent built-in self-calibration algorithms to last the lifetime of your toughest applications.
Software SDK
Easy to use software SDK with visualisers, tactile intelligence APIs and C++, Python, ROS and ROS2 integrations. Supported on Windows, Mac and Linux.
Systems Integration
Out of the box integration with Robotiq-2F grippers with our custom drivers for a more responsive control. Support for more types of grippers coming soon.