RevoSim: Scalable Multimodal Tactile Simulation for Dexterous Manipulation
Overview
This paper presents RevoSim, a high-fidelity simulation framework tailored for the BrainCo Revo3 robotic hand. The system models 285 piezoresistive taxels and five visuotactile fingertips to generate synchronized pressure, depth, RGB, and marker-displacement observations. Running on a single RTX 5090 GPU, it supports up to 4,096 parallel environments using a depth-conditioned marker-displacement configuration. The authors demonstrate the ability to train in-hand manipulation and grasping policies entirely within simulation, laying the groundwork for future sim-to-real transfer applications.
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Event evidence and corrections
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Environment: simulation
“ts up to 4,096 parallel environments. We train in-hand manipulation and grasping policies entirely in simulation, establishing a foundation for future sim-to-real transfer. Project page: https://braincotech.github.io/RevoSim-web/.”
Exact source · revision 1Source owner not reported
Reported quantity · parallel environments: 4096 other · Basis not reported
“ts up to 4,096 parallel environments. We train in-hand manipulation and grasping policies entirely in simulation, establishing a foundation for future sim-to-real transfer. Project page: https://braincotech.github.io/RevoSim-web/.”
Exact source · revision 1Source owner not reported
Dataset · modalities: pressure · Differing source assertions
“arXiv:2611.08939v1 Announce Type: new Abstract: We present RevoSim, a scalable and high-fidelity multimodal tactile simulator for the BrainCo Revo3 hand that jointly models 285 piezoresistive taxels and five visuotactile fingertips. RevoSim efficiently generates synchronized pressure, depth, RGB, and marker-displacement observations; on a single RTX 5090, its depth-conditioned marker-displacement configuration suppor”
Exact source · revision 1Source owner not reported
Dataset · modalities: depth · Differing source assertions
“arXiv:2611.08939v1 Announce Type: new Abstract: We present RevoSim, a scalable and high-fidelity multimodal tactile simulator for the BrainCo Revo3 hand that jointly models 285 piezoresistive taxels and five visuotactile fingertips. RevoSim efficiently generates synchronized pressure, depth, RGB, and marker-displacement observations; on a single RTX 5090, its depth-conditioned marker-displacement configuration suppor”
Exact source · revision 1Source owner not reported
Dataset · modalities: RGB · Differing source assertions
“arXiv:2611.08939v1 Announce Type: new Abstract: We present RevoSim, a scalable and high-fidelity multimodal tactile simulator for the BrainCo Revo3 hand that jointly models 285 piezoresistive taxels and five visuotactile fingertips. RevoSim efficiently generates synchronized pressure, depth, RGB, and marker-displacement observations; on a single RTX 5090, its depth-conditioned marker-displacement configuration suppor”
Exact source · revision 1Source owner not reported
Dataset · modalities: marker-displacement · Differing source assertions
“arXiv:2611.08939v1 Announce Type: new Abstract: We present RevoSim, a scalable and high-fidelity multimodal tactile simulator for the BrainCo Revo3 hand that jointly models 285 piezoresistive taxels and five visuotactile fingertips. RevoSim efficiently generates synchronized pressure, depth, RGB, and marker-displacement observations; on a single RTX 5090, its depth-conditioned marker-displacement configuration suppor”
Exact source · revision 1Source owner not reported
Dataset · tasks: in-hand manipulation · Differing source assertions
“ts up to 4,096 parallel environments. We train in-hand manipulation and grasping policies entirely in simulation, establishing a foundation for future sim-to-real transfer. Project page: https://braincotech.github.io/RevoSim-web/.”
Exact source · revision 1Source owner not reported
Dataset · tasks: grasping · Differing source assertions
“ts up to 4,096 parallel environments. We train in-hand manipulation and grasping policies entirely in simulation, establishing a foundation for future sim-to-real transfer. Project page: https://braincotech.github.io/RevoSim-web/.”
Exact source · revision 1Source owner not reported
Dataset · embodiments: BrainCo Revo3 hand
“arXiv:2611.08939v1 Announce Type: new Abstract: We present RevoSim, a scalable and high-fidelity multimodal tactile simulator for the BrainCo Revo3 hand that jointly models 285 piezoresistive taxels and five visuotactile fingertips. RevoSim efficiently generates synchronized pressure, depth, RGB, and marker-displacement observations; on a single RTX 5090, its depth-conditioned marker-displacement configuration suppor”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsSignalRevoSim: Scalable Multimodal Tactile Simulation for Dexterous Manipulation
This paper presents RevoSim, a high-fidelity simulation framework tailored for the BrainCo Revo3 robotic hand. The system models 285 piezoresistive taxels and five visuotactile fingertips to generate synchronized pressure, depth, RGB, and marker-displacement observations. Running on a single RTX 5090 GPU, it supports up to 4,096 parallel environments using a depth-conditioned marker-displacement configuration. The authors demonstrate the ability to train in-hand manipulation and grasping policies entirely within simulation, laying the groundwork for future sim-to-real transfer applications.
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