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ProtoAct turns complex biological protocols into precise robotic actions, enabling seamless execution of lab procedures by machines.
Navigating biomedical labs requires a new approach, and BioVLN achieves up to 92.5% success by redefining how robots approach instruments.
SpectraReward reveals that pretrained MLLMs can serve as powerful zero-shot reward models, outperforming traditional methods without the need for fine-tuning or external labels.
Pipette transforms wet-lab robotics by boosting training efficiency and accessibility, achieving up to 74.7% success rates with just 30 demonstrations per task.
Spatial reasoning could be the secret sauce for building generalist embodied agents that can drive, manipulate objects, and fly drones, all within a single model.
