TacClaw-Infinity: A Large-Scale Vision-Tactile-Language-Acti
Overview
Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: TacClaw-Infinity: A Large-Scale Vision-Tactile-Language-Action Dataset for Dexterous Manipulation. This paper introduces TacClaw-Infinity, a large-scale structured Vision-Tactile-Language-Action (VTLA) dataset for contact-rich manipulation. Collected using a tactile-enabled handheld interface, the dataset includes ove…
Generated from attributed reports · Updated 1 hours ago
Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Reported quantity · Reported duration: 10000 hours · Basis not reported
“ademic and industrial collaborators. Together, these efforts yield over 10,000 hours, 1 million episodes, and 1 billion frames spanning more than 1,000 task types. We develop a scalable pipeline for trajectory reconstruction, multimodal quality control, embodiment-aware filtering, and structured annotation, covering contact-centric segmentation, subtask description, and spatial grounding. We validate TacClaw-Infinity”
Exact source · revision 1Source owner not reported
Reported quantity · episodes: 1000000 other · Basis not reported
“ademic and industrial collaborators. Together, these efforts yield over 10,000 hours, 1 million episodes, and 1 billion frames spanning more than 1,000 task types. We develop a scalable pipeline for trajectory reconstruction, multimodal quality control, embodiment-aware filtering, and structured annotation, covering contact-centric segmentation, subtask description, and spatial grounding. We validate TacClaw-Infinity”
Exact source · revision 1Source owner not reported
Reported quantity · frames: 1000000000 other · Basis not reported
“ademic and industrial collaborators. Together, these efforts yield over 10,000 hours, 1 million episodes, and 1 billion frames spanning more than 1,000 task types. We develop a scalable pipeline for trajectory reconstruction, multimodal quality control, embodiment-aware filtering, and structured annotation, covering contact-centric segmentation, subtask description, and spatial grounding. We validate TacClaw-Infinity”
Exact source · revision 1Source owner not reported
Reported quantity · task types: 1000 other · Basis not reported
“ademic and industrial collaborators. Together, these efforts yield over 10,000 hours, 1 million episodes, and 1 billion frames spanning more than 1,000 task types. We develop a scalable pipeline for trajectory reconstruction, multimodal quality control, embodiment-aware filtering, and structured annotation, covering contact-centric segmentation, subtask description, and spatial grounding. We validate TacClaw-Infinity”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsTacClaw-Infinity: A Large-Scale Vision-Tactile-Language-Action Dataset for Dexterous Manipulation
This paper introduces TacClaw-Infinity, a large-scale structured Vision-Tactile-Language-Action (VTLA) dataset for contact-rich manipulation. Collected using a tactile-enabled handheld interface, the dataset includes over 10,000 hours of data, 1 million episodes, and 1 billion frames across more than 1,000 task types. It features a scalable pipeline for trajectory reconstruction, multimodal quality control, and structured annotation, validated for cross-embodiment transfer across three heterogeneous robots.
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