BioAgent: Self-Directed Skill Acquisition and Capability Growth for Long-Horizon Laboratory Protocols
Overview
This research presents BioAgent, an embodied agent designed to execute unfamiliar laboratory protocols by identifying missing capabilities and ensuring experimental validity.
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Event evidence and corrections
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Control: reported autonomous
“lls and task packages, selects tool-based implementations for missing behaviors, and requests human teaching when needed during learning. Learned skills undergo sequential task-package validation to check outcomes and compatibility between successive operations. During execution, precondition, outcome, and experimental-state checks govern progression, autonomous recovery, or termination. Execution evidence guides too”
Exact source · revision 1Source owner not reported
Reported quantity · trials: 50 other · reported trials · Differing source assertions
“l selection, while accepted experience supports offline policy updates and task packaging. On the second task, BioAgent reuses 17 skill types unchanged, revises two existing implementations, and acquires five new types. On two dual-arm laboratory tasks with 20 and 31 ordered skill invocations, BioAgent achieves complete-task success rates of 66\% and 58\% with autonomous recovery over 50 runs per task. Across 25 atom”
Exact source · revision 1Source owner not reported
Reported quantity · trials: 50 other · reported trials · Differing source assertions
“ic skills evaluated over 50 autonomous trials each with recovery disabled, success rates range from 84\% to 100\%, with 17 skills achieving 50/50.”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsSignalBioAgent: Self-Directed Skill Acquisition and Capability Growth for Long-Horizon Laboratory Protocols
This research presents BioAgent, an embodied agent designed to execute unfamiliar laboratory protocols by identifying missing capabilities and ensuring experimental validity.
Event coverage history
There is not enough continuous observation data to show a trend.
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