Human-Robot Teamwork Gets a Requirements Taxonomy
Researchers consolidate fragmented human-robot teamwork requirements into six categories and twenty-one subcategories.
Researchers consolidate fragmented human-robot teamwork requirements into six categories and twenty-one subcategories.
A lightweight episodic memory module enables a humanoid robot head to retain personalized conversational context across sessions.
A systems framework connects AI safety, control, cybersecurity, dependable computing, human factors, and lifecycle assurance.
RedFlow redirects detected failures into action-level corrections for flow-matching vision-language-action policies.
A criticality-aware framework seeks to guide self-evolving embodied learning toward safer and more consequential experiences.
A navigation approach uses human-leg sensing to improve robot behavior around people in shared spaces.
LabEvolver explores safe, grounded adaptation for embodied agents operating in wet-lab environments without conventional retraining.
A cross-embodiment method seeks reusable behavior representations spanning different robot bodies and control spaces.
The World Action Planner uses action-conditioned world models to improve generalizable robot decision-making.
Pegasus translates human demonstrations into robot-conditioned data using task graphs, affordances, constraints, and physics verification.