Checkpoint of Guardian, a fine-tuned VLM for planning and execution failure detection. Guardian reasons to predict fine-grained categories
Paul Pacaud PRO
paulpacaud
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updated a collection about 13 hours ago
Guardian-Thinking-8B - VLM for Robot Failure Detection updated a collection about 13 hours ago
Guardian-Thinking-8B - VLM for Robot Failure Detection published a model about 13 hours ago
paulpacaud/guardian-vanillaOrganizations
BridgeDataV2-Fail - Robot Failure Detection Benchmark
VQA images-pair for fine-grained, multi-class failure detection annotated with multi-step reasoning traces. Features a real robot WidowX250 arm.
Robotic Failure Detection Dataset & Model (Guardian)
Datasets containing robotic failure detection datasets and benchmarks. The data is organized as image VQA with multi-class, fine-grained failures.
RLBench-Fail - Robot Failure Detection Benchmark
VQA images-pair for fine-grained, multi-class failure detection annotated with multi-step reasoning traces. Features a simulated Franka Emika Panda.
UR5-Fail - Robot Failure Detection Benchmark
VQA images-pair for fine-grained, multi-class failure detection annotated with multi-step reasoning traces. Features a real robot UR5 arm.
Guardian-Thinking-8B - VLM for Robot Failure Detection
Checkpoint of Guardian, a fine-tuned VLM for planning and execution failure detection. Guardian reasons to predict fine-grained categories
RLBench-Fail - Robot Failure Detection Benchmark
VQA images-pair for fine-grained, multi-class failure detection annotated with multi-step reasoning traces. Features a simulated Franka Emika Panda.
BridgeDataV2-Fail - Robot Failure Detection Benchmark
VQA images-pair for fine-grained, multi-class failure detection annotated with multi-step reasoning traces. Features a real robot WidowX250 arm.
UR5-Fail - Robot Failure Detection Benchmark
VQA images-pair for fine-grained, multi-class failure detection annotated with multi-step reasoning traces. Features a real robot UR5 arm.
Robotic Failure Detection Dataset & Model (Guardian)
Datasets containing robotic failure detection datasets and benchmarks. The data is organized as image VQA with multi-class, fine-grained failures.