POMDAR is a taxonomy-grounded benchmark that quantifies dexterity as task throughput across vertical, horizontal, rotation, and grasping configurations with mechanical constraints for unambiguous measurement.
Orca: An open-source, reliable, cost-effective, anthropomorphic robotic hand for uninterrupted dexterous task learning
6 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.RO 6representative citing papers
ROSA introduces shared GPU-pool serving, robotics-aware abstractions for multi-model pipelines, and factory-productivity scheduling that improves output by up to 12.06x over dedicated per-robot systems.
SERNF fine-tunes dexterous manipulation policies on real hardware by pairing normalizing-flow policies with action-chunked critics and conservative off-policy RL.
A cross-embodied co-design framework learns task-specific hand morphologies and control policies, achieving sim-to-real rotation up to 3.3 rad/s and full fabrication in under 24 hours.
MM-Hand presents a modular 21-DOF dexterous hand with remote tendon actuation, integrated multimodal sensing, and open-source hardware that achieves 25 N fingertip force over 1 m transmission distance.
The PLATO Hand introduces a hybrid fingertip with rigid fingernail and compliant pulp, guided by a strain-energy bending-indentation model, to achieve improved pinch stability and success in edge-sensitive tasks such as paper singulation and orange peeling.
citing papers explorer
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A Benchmark of Dexterity for Anthropomorphic Robotic Hands
POMDAR is a taxonomy-grounded benchmark that quantifies dexterity as task throughput across vertical, horizontal, rotation, and grasping configurations with mechanical constraints for unambiguous measurement.
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ROSA: A Robotics Foundation Model Serving System for Robot Factories
ROSA introduces shared GPU-pool serving, robotics-aware abstractions for multi-model pipelines, and factory-productivity scheduling that improves output by up to 12.06x over dedicated per-robot systems.
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SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows
SERNF fine-tunes dexterous manipulation policies on real hardware by pairing normalizing-flow policies with action-chunked critics and conservative off-policy RL.
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House of Dextra: Cross-embodied Co-design for Dexterous Hands
A cross-embodied co-design framework learns task-specific hand morphologies and control policies, achieving sim-to-real rotation up to 3.3 rad/s and full fabrication in under 24 hours.
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MM-Hand: A 21-DOF Multi-modal Modular Dexterous Robotic Hand with Remote Actuation
MM-Hand presents a modular 21-DOF dexterous hand with remote tendon actuation, integrated multimodal sensing, and open-source hardware that achieves 25 N fingertip force over 1 m transmission distance.
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PLATO Hand: Shaping Contact Behavior with Fingernails for Precise Manipulation
The PLATO Hand introduces a hybrid fingertip with rigid fingernail and compliant pulp, guided by a strain-energy bending-indentation model, to achieve improved pinch stability and success in edge-sensitive tasks such as paper singulation and orange peeling.