GPU-Accelerated Physics for Adaptive Robotics

Combining force sensing, depth vision, and soft-body physics simulation to enable robots to handle materials that don't behave like rigid blocks. Powered by NVIDIA Isaac Sim and Jetson edge inference.

Explore the system

Supported by NVIDIA Inception

The Deformable Material Challenge

Robots excel at manipulating rigid objects but consistently fail with soft, variable materials. Current approaches require extensive manual debugging that consumes 60% of deployment time.

Physics simulation for deformable materials is computationally intractable without GPUs. Traditional CPU-only methods cannot achieve the parallel processing required for real-time soft-body dynamics.

Critical Gap:

No unified platform exists that combines real-time sensor fusion, GPU-accelerated physics simulation, and edge deployment for adaptive material handling.

Our Isaac Sim + Jetson Solution

From intractable physics to real-time control

Soft-Body Physics

Custom Isaac Sim extensions for parallel deformation computation. 1000x speedup enables practical training.

Depth + Force Fusion

RGB-D processing combined with force feedback at 30Hz for material property estimation.

Deploy trained models on Jetson for real-time adaptive control without cloud dependency.