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Voice-commanded surface finishing is now a reality, thanks to a new framework that lets non-experts adapt robot skills through touch, language, and a drag-and-drop interface.
Time-varying stiffness and wrench arbitration in shared control systems can be stabilized without constraining design choices, unlocking more flexible and adaptable robot guidance.
Exploiting the natural dynamics of elastic robots via non-brake periodic trajectories can yield perfectly efficient locomotion in ideal conditions and outperform traditional rigid-body control in realistic, frictional environments.
Control a robot with natural language, no fine-tuning required: IROSA uses a tool-based architecture to safely adapt robot skills using pre-trained LLMs.