Research Overview

Deformable Manipulation

Xolver research explores how machines can handle contact-rich and deformable-object work while preserving review, intervention, and operating records.

Why deformable work matters

Soft, flexible, or easily disturbed objects make automation difficult because small changes in shape, contact, and presentation can change the task.

  • Changing object shape
  • Contact-sensitive handling
  • Operator review
  • Recovery from uncertainty

How Xolver frames the problem

Xolver treats deformable manipulation as an application workflow, not just a motion problem. Teams need to understand what changed, where the task became uncertain, and when review is needed.

  • Task context
  • Observed state
  • Exception paths
  • Reviewable outcomes

Where this fits

This research direction supports Xolver’s broader work on machines that can handle changing physical work while keeping teams in control.

  • Precision assembly
  • Handling and kitting
  • Inspection follow-up
  • Contact-rich recovery
Public Boundary

Research pages explain direction, not private methods.

Detailed methods, data formats, hardware setups, and integration materials are shared directly during qualified technical conversations.