Tai Wang

Achieving a remarkable 23% increase in navigation success rates across diverse robotic embodiments, X-NavDP redefines the potential of diffusion policies in complex environments.

Achieving a 78.3% success rate in real-world mobile manipulation, this framework bridges the reality gap with zero-shot transferability to unseen tasks.

By preserving the semantics of pretrained models while achieving superior compositional generalization, InternVLA-A1.5 redefines how robots can learn and execute complex tasks.

Cortex outperforms traditional models by enabling zero-shot execution of complex long-horizon tasks, bridging the gap between high-level planning and low-level execution.

ReactiveBFM enables humanoids to achieve zero-shot moving target reaching with unprecedented agility and real-time adaptability.