Agents that perceive and act in environments, with a distinction between simulated performance and physical deployment.
6 connections
These are editorial connections by subject, not claims of collaboration, endorsement or equal evidence quality. This first topic collection covers the new AI, robotics, security, interface design and preparation resources; it is not a complete index of the reading room.
Introduces 100 simulated household activities, task-state definitions and evaluation metrics, with 500 VR demonstrations as human reference data. The evaluated learning approaches struggled with the benchmark’s complex activities.
Open publication · abstract-only review; full PDF could not be retrieved for this review
The abstract describes training vision-language models with robot trajectories and web-derived vision-language tasks, representing robot actions as tokens. This connects language-based instructions with physical robot control.
Follow her publications to connect perception, simulation and robot learning. This is a research profile, not a claim that she practises as a UX designer.
A source of robotics projects and publications relevant to machines operating in physical environments. Examine the task, environment and evaluation before drawing UX conclusions.
Useful for following perception, learning and action research. This is a directory of groups, not a single centre or a ranking; check each project’s publications and evaluation.