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Robot Manipulation on LIBERO Spatial

2Failure Rate (FR)pi_0.5
-1.8424.085075.92Sep 23, 2025Oct 24, 2025Nov 25, 2025Dec 27, 2025Jan 28, 2026Mar 1, 2026Apr 2, 2026

Evaluation results

MethodLinks
pi_0.5Evaluation Protocol=fine-tuned, Perturbation Type=Clean2025.092————————
OpenVLA-OFTEvaluation Protocol=fine-tuned, Perturbation Type=Clean2025.093.8————————
pi_0.5Evaluation Protocol=fine-tuned, Perturbation Type=Illum., Search Strategy=Rand.2025.094————————
UniVLAEvaluation Protocol=fine-tuned, Perturbation Type=Illum., Search Strategy=Rand.2025.095————————
OpenVLA-OFTEvaluation Protocol=fine-tuned, Perturbation Type=Adv. Patch, Search Strategy=Rand.2025.0911————————
UniVLAEvaluation Protocol=fine-tuned, Perturbation Type=Clean2025.0911————————
UniVLAEvaluation Protocol=fine-tuned, Perturbation Type=Illum., Search Strategy=Best2025.0912————————
UniVLAEvaluation Protocol=fine-tuned, Perturbation Type=Adv. Patch, Search Strategy=Rand.2025.0912————————
pi_0.5Evaluation Protocol=fine-tuned, Perturbation Type=Illum., Search Strategy=Best2025.0912————————
OpenVLAEvaluation Protocol=fine-tuned, Perturbation Type=Clean2025.0915.3————————
No AttackTarget Model=OpenVLA, Attack Setting=Untargeted Attack2026.0415.6————————
OpenVLA-OFTEvaluation Protocol=fine-tuned, Perturbation Type=Illum., Search Strategy=Rand.2025.0917————————
UniVLAEvaluation Protocol=fine-tuned, Perturbation Type=3D Trans., Search Strategy=Rand.2025.0917————————
pi_0.5Evaluation Protocol=fine-tuned, Perturbation Type=Adv. Patch, Search Strategy=Rand.2025.0917————————
pi_0.5Evaluation Protocol=fine-tuned, Perturbation Type=3D Trans., Search Strategy=Rand.2025.0918————————
OpenVLAEvaluation Protocol=fine-tuned, Perturbation Type=Adv. Patch, Search Strategy=Rand.2025.0923————————
GaussianTarget Model=OpenVLA, Attack Setting=Untargeted Attack2026.0424.6————9———
OpenVLAEvaluation Protocol=fine-tuned, Perturbation Type=Illum., Search Strategy=Rand.2025.0928————————
OpenVLA-OFTEvaluation Protocol=fine-tuned, Perturbation Type=3D Trans., Search Strategy=Rand.2025.0936————————
OpenVLA-OFTEvaluation Protocol=fine-tuned, Perturbation Type=Illum., Search Strategy=Best2025.0940————————
OpenVLA-OFTEvaluation Protocol=fine-tuned, Perturbation Type=Adv. Patch, Search Strategy=Best2025.0945————————
OpenVLAEvaluation Protocol=fine-tuned, Perturbation Type=3D Trans., Search Strategy=Rand.2025.0948————————
UniVLAEvaluation Protocol=fine-tuned, Perturbation Type=Adv. Patch, Search Strategy=Best2025.0950————————
OpenVLAEvaluation Protocol=fine-tuned, Perturbation Type=Illum., Search Strategy=Best2025.0955————————
OpenVLA-OFTEvaluation Protocol=fine-tuned, Perturbation Type=3D Trans., Search Strategy=Best2025.0956————————
OpenVLAEvaluation Protocol=fine-tuned, Perturbation Type=Adv. Patch, Search Strategy=Best2025.0960————————
OpenVLAEvaluation Protocol=fine-tuned, Perturbation Type=3D Trans., Search Strategy=Best2025.0971————————
Tex3DTarget Model=$π_{0.5}$, Attack Setting=Untargeted Attack2026.0471.8————70.6———
Tex3DTarget Model=$π_{0.5}$, Attack Setting=Targeted Attack2026.0472.9————71.7———
Tex3DTarget Model=$π_0$, Attack Setting=Untargeted Attack2026.0474.9————71.4———
pi_0.5Evaluation Protocol=fine-tuned, Perturbation Type=Adv. Patch, Search Strategy=Best2025.0975————————
Single-frameTarget Model=OpenVLA, Attack Setting=Untargeted Attack2026.0475.1————59.5———
Tex3DTarget Model=$π_0$, Attack Setting=Targeted Attack2026.0475.9————72.4———
Tex3DTarget Model=OpenVLA-OFT, Attack Setting=Untargeted Attack2026.0478.6————74.8———
Vertex Param.Target Model=OpenVLA, Attack Setting=Untargeted Attack2026.0480.5————64.9———
Tex3DTarget Model=OpenVLA-OFT, Attack Setting=Targeted Attack2026.0480.9————77.1———
Tex+Temp.Target Model=OpenVLA, Attack Setting=Untargeted Attack2026.0490.3————74.7———
Tex3DTarget Model=OpenVLA, Attack Setting=Untargeted Attack2026.0495.8————80.2———
Tex3DTarget Model=OpenVLA, Attack Setting=Targeted Attack2026.0496.7————81.1———
UniVLAEvaluation Protocol=fine-tuned, Perturbation Type=3D Trans., Search Strategy=Best2025.0998————————
pi_0.5Evaluation Protocol=fine-tuned, Perturbation Type=3D Trans., Search Strategy=Best2025.0998————————
Adversarial-VLAModel Architecture=OpenVLA-7B2026.01—94.770.526.1—————
ATAATScenario=Data Poisoning (Implicit De-confliction)2026.05————88.8——83.5—
ATAATScenario=Fine-tuning Poisoning (Explicit De-confliction)2026.05————78.1——72.5—
BadNetModel Architecture=OpenVLA-7B2026.01—92.5915.2—————
BadNetScenario=Data Poisoning (Implicit De-confliction)2026.05————4.5——0.8—
BadNet (Fine-tune)Scenario=Fine-tuning Poisoning (Explicit De-confliction)2026.05————9.1——6.4—
BadVLAModel Architecture=OpenVLA-7B2026.01—92.45441.8—————
BadVLAModel Architecture=pi0.52026.01—91.656.239.5—————
BadVLATrigger Type=White Pixel2026.03—96.1—100—————
BadVLATrigger Type=Object State2026.03—95.1—13.4—————
BadVLATrigger Type=Scene Semantic2026.03—95.3—15.3—————
BadVLA (Adapted)Scenario=Data Poisoning (Implicit De-confliction)2026.05————17.5——13.1—
BadVLA (Adapted)Scenario=Fine-tuning Poisoning (Explicit De-confliction)2026.05————52.1——39.2—
BASEChunk Size=82026.04————93—1——
BASEChunk Size=642026.04————68—3.22——
Baseline (π0 libero)2026.03—96.8———————
BlockVLAType=Block Diffusion, Training Steps=5k2026.05————53.8————
BlockVLAType=Block Diffusion, Training Steps=10k2026.05————79.2————
BlockVLAType=Block Diffusion, Training Steps=15k2026.05————81.6————
BlockVLAType=Block Diffusion, Training Steps=20k2026.05————83————
BlockVLAType=Block Diffusion, Training Steps=30k2026.05————88.4————
BlockVLAType=Block Diffusion, Training Steps=40k2026.05————89————
BlockVLAType=Block Diffusion, Training Steps=50k2026.05————90.6————
DDVLAType=Discrete Diffusion, Training Steps=5k2026.05————48————
DDVLAType=Discrete Diffusion, Training Steps=10k2026.05————56.8————
DDVLAType=Discrete Diffusion, Training Steps=15k2026.05————68.4————
DDVLAType=Discrete Diffusion, Training Steps=20k2026.05————81————
DDVLAType=Discrete Diffusion, Training Steps=30k2026.05————88.2————
DDVLAType=Discrete Diffusion, Training Steps=40k2026.05————87.2————
DDVLAType=Discrete Diffusion, Training Steps=50k2026.05————89.8————
DEFLECTdelay (d)=12026.05————————96.8
DEFLECTdelay (d)=22026.05————————98.2
DEFLECTdelay (d)=32026.05————————97.4
DEFLECTdelay (d)=42026.05————————95
DEFLECTdelay (d)=52026.05————————90
DEFLECTdelay (d)=62026.05————————82
DEFLECTdelay (d)=72026.05————————74.2
DyQ-VLAType=Dyn., Prec.=W4AX, Spd.=1.51×, Mem. (GB)=4.72026.03————84.7————
FlowHijack (IP)Trigger Type=White Pixel2026.03—96.3—91.1—————
FlowHijack (IP)Trigger Type=Object State2026.03—96—91.1—————
FlowHijack (IP)Trigger Type=Scene Semantic2026.03—96.7—100—————
FlowHijack (PL)Trigger Type=White Pixel2026.03—95.6—88.9—————
FlowHijack (PL)Trigger Type=Object State2026.03—95.8—73.3—————
FlowHijack (PL)Trigger Type=Scene Semantic2026.03—96—100—————
FP ModelType=Stat., Prec.=BF16, Spd.=1.00×, Mem. (GB)=15.22026.03————84.7————
INFUSEModel Architecture=OpenVLA-7B2026.01—95.6296.6—————
INFUSEModel Architecture=pi0.52026.01—9220.673.5—————
Latent-PoisoningScenario=Data Poisoning (Implicit De-confliction)2026.05————13.6——10.1—
Normal ModelModel Architecture=OpenVLA-7B2026.01—96.996.2——————
Normal ModelModel Architecture=pi0.52026.01—98.898——————
OpenVLAType=Autoregressive2026.05————84.7————
QVLAType=Stat., Prec.=W4A4, Spd.=1.53×, Mem. (GB)=4.32026.03————84.4————
SmoothQuantType=Stat., Prec.=W4A4, Spd.=1.59×, Mem. (GB)=4.72026.03————69.2————
Speculative DecodingChunk Size=42026.04————85.8—1.28——
SV-VLAChunk Size=642026.04————83—2.49——
VLASHdelay (d)=12026.05————————97
VLASHdelay (d)=22026.05————————96
VLASHdelay (d)=32026.05————————95.4
VLASHdelay (d)=42026.05————————91.8