MonoDuo generates synthetic bimanual demonstrations from single-arm teleoperation plus human collaboration to train policies achieving up to 70% zero-shot success on five manipulation tasks, with 65-70% gains from 25-shot finetuning.
Anybimanual: Transferring unimanual policy for general bimanual manipulation
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CUBic learns a shared tokenized representation for bimanual robot perception and control via unidirectional aggregation, bidirectional codebook coordination, and a unified diffusion policy, yielding higher coordination accuracy and task success on the RoboTwin benchmark.
HYMN is a multi-sensor, time-synchronized indoor-outdoor positioning dataset combining five radio technologies (GNSS, UWB, BLE, WiFi, 5G) with total-station ground truth across 48 reference points in an industrial hall.
citing papers explorer
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MonoDuo: Using One Robot Arm to Learn Bimanual Policies
MonoDuo generates synthetic bimanual demonstrations from single-arm teleoperation plus human collaboration to train policies achieving up to 70% zero-shot success on five manipulation tasks, with 65-70% gains from 25-shot finetuning.
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CUBic: Coordinated Unified Bimanual Perception and Control Framework
CUBic learns a shared tokenized representation for bimanual robot perception and control via unidirectional aggregation, bidirectional codebook coordination, and a unified diffusion policy, yielding higher coordination accuracy and task success on the RoboTwin benchmark.
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Bimanual Robot Manipulation via Multi-Agent In-Context Learning
HYMN is a multi-sensor, time-synchronized indoor-outdoor positioning dataset combining five radio technologies (GNSS, UWB, BLE, WiFi, 5G) with total-station ground truth across 48 reference points in an industrial hall.