Robot manipulation challenge visual

Applications

Where tactile intelligence changes robot manipulation

Local contact feedback for real-world handling.

Touch has to earn its place

Adding another sensor to a robot only makes sense if it improves the performance or economics of the system. KiriSense is focused on applications where local contact feedback can improve pick success, reduce damage, shorten cycle times or reduce exception rates.

Pick success
Damage
Cycle time
Exception rate

Industrial automation

Adaptive handling for variable parts

Local contact information could help robots respond to alignment, grip and surface variation during handling and assembly.

Logistics

Mixed-item fulfilment

Contact feedback could help confirm grasp and respond as item geometry, packaging and friction vary.

Food handling

Gentler manipulation

Variable shape, firmness and fragility make food handling difficult for vision-only automation. Local force and slip information could allow a gripper to adapt during contact rather than relying entirely on predetermined grip parameters.

Dexterous manipulation

Feedback during contact

Robotic hands and grippers need local information when an object shifts, deforms or begins to slip.

Humanoid robotics

Hands for human environments

Humanoid systems will need tactile information to handle the varied objects found in spaces designed for people.

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