Grid Dynamics To Debut TPGen AI Robotic Solution At Automatica 2025

GRID DYNAMICS HOLDINGS INC -0.82%

GRID DYNAMICS HOLDINGS INC

GDYN

9.69

-0.82%

  • At Automatica 2025, Grid Dynamics will present TPGen—an AI robotic solution developed in partnership with Wandelbots to automate industrial robotic workflows that involve complex programming.
  • The new solution dramatically reduces programming time—transforming what typically takes weeks of manual robot programming and analysis into automated processes completed in minutes through automatic tool-path generation based on CAD models.
  • TPGen is built on top of the Wandelbots NOVA platform which enables seamless integration with a broad range of robotic manipulators.

Grid Dynamics Holdings, Inc. (NASDAQ:GDYN) (Grid Dynamics)—a leading provider of technology consulting, platform and product engineering, AI, and digital‑engagement services—today announced it will showcase its TPGen robotic solution at Automatica 2025, the world's leading event for smart automation and robotics taking place in Munich, Germany from June 24-27, 2025. The TPGen solution from Grid Dynamics, developed in collaboration with robotics industry partner Wandelbots, represents a major advancement in streamlining robotic inspection workflows for welding, gluing, and surface processing applications for manufacturers worldwide.

Analyzing workpiece geometries, planning the scanning processes, and creating tool-paths are often a bottleneck in applications that involve robotic inspection of weld, seams, and surfaces. These steps might take significant time increasing both the time-to-market and the inspection costs. By eliminating the need for manual analysis and tool-path creation, TPGen enables manufacturers to reduce analysis and programming time, cut operational costs and overhead, lower energy consumption, and shorten time-to-market. The TPGen solution runs on top of Wandelbots' NOVA platform, offering an app for seamless and highly automated feasibility analysis, tool-path generation, and trajectory execution.

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