SIM-TO-REAL · GENTLE MANIPULATION

StressLess

Cross-Category Deformable and Fragile Object Grasping from Stress-Aware Demonstrations at Scale

Learning to grasp fragile and deformable objects from stress-aware demonstrations generated at scale in simulation.

StressLess · project overview

TL;DR

StressLess uses finite-element stress to synthesize stable, gentle grasps at scale, then trains one point-cloud policy that transfers zero-shot across fragile and deformable objects and improves both lifting success and grasp gentleness (object integrity) in real-world trials.

01 / PROJECT VIDEO

Overview of StressLess

Full project presentation

Highlights · motivation · method · experiments

03:00

02 / METHOD

From stress-aware grasps
to one policy.

Method figure: simulated stress-aware demonstration generation, point-cloud diffusion policy, and real-world deployment
01

Stress-aware demonstration generation

A finite-element contact model scores grasp pose and closing width for internal stress and grip stability. Selected grasps run in soft-body simulation across randomized object poses, sizes, shapes, and materials.

02

Point-cloud policy learning

One Diffusion Policy learns action chunks from all simulated demonstrations. A PointNet encoder processes the depth point cloud; robot pose and gripper width provide proprioception.

03

Zero-shot real-world deployment

The policy controls a 7-DoF arm and parallel-jaw gripper from one fixed depth camera. It predicts end-effector pose and gripper width without tactile or force feedback.

03 / QUALITATIVE EVALUATION

Gentle, reactive, and generalizable
grasping policy

01

Reactive grasping and retries

When an initial grasp fails, StressLess can reopen, reapproach, and grasp again. The shown RGB-frozen baseline stops after its first failed attempt.

RGB-frozen · no retry
StressLess · regrasp and recover

In 31 first-attempt failures, StressLess retried 25 times and recovered 10 lifts.

02

Gentle object handling

In this mushroom example, the RGB-scratch baseline damages the object during grasping; StressLess lifts it while keeping it intact.

RGB-scratch · mushroom damaged
StressLess · mushroom intact

The paper measures gentleness with a lift-conditioned safety score assigned by two blinded evaluators.

03

Generalization to unseen geometry

The simulated set contains standing cylinders but no lying can. StressLess handles the real can in this example, with a retry; the RGB-scratch baseline damages it.

RGB-scratch · can damaged
StressLess · can kept intact

Across can trials, StressLess achieved Lift 1.00 and Safe 0.88; the paper also evaluates a thin-shell paper cup.

Eleven fragile and deformable object categories in the real-world evaluation

Real-world evaluation objects across 11 categories, including the can and paper cup.

FULL PAPER

Read the complete method and evaluation.

StressLess: Cross-Category Deformable and Fragile Object Grasping from Stress-Aware Demonstrations at Scale

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