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Robots navigating messy indoor spaces need more than a 2D map. This paper introduces TANGO, a system that lets a humanoid robot follow natur
This paper introduces Facet‑0, a robotic foundation model that predicts and values the contact consequences of its actions. The goal is to g
This paper introduces VBVR-Pro, a testbed that trains and measures “native visual reasoning.” That means the system uses images and videos t
This paper describes a compact, synchronization-free system that uses a single projected light pattern and an AI model to estimate depth in
Researchers introduce LLM-as-a-Verifier, a new way to use large language models (LLMs) to decide whether a proposed solution is correct. Ins
Researchers present a new method that computes tight error bounds for linear approximations of nonlinear and neural network dynamics on a GP
Researchers have introduced LIBERO‑Safety, a new benchmark built to check whether robots that understand pictures and text can act safely in
This paper describes a system that can follow natural language instructions to perform long, multi-step manipulation tasks without any task-
This paper presents a way for a controller to learn unknown nonlinear parts of a system while never leaving a pre‑specified safe region with
This paper presents VLMaterial, a system that fuses camera images and millimeter-wave (mmWave) radar with a vision-language model to identif