The article introduces Human2Any, a method for human-to-robot transfer that utilizes constraint-aware compositional planning. No further details or body text are provided in the source.
The authors present Show-Harness, an Embodied Harness that allows vision-language models (VLMs) to control robots through a compact semantic interface linking intent to action. This system exposes discrete semantic action units for VLM reasoning and uses embodiment-specific interpreters to ground them into local robot actions.
The author has released Calibra, a tool designed to identify poor demonstrations in robotics imitation learning datasets before they consume GPU resources.
Generalist AI has released GEN-1.5, a research-oriented robot foundation model capable of learning new physical manipulation tasks from a single 3–12 second demonstration via its 30-second context window. This capability, termed "physical prompting," emerged spontaneously from over eight months of continuous pretraining on physical interaction data rather than being explicitly designed.