6 papers
Human-as-Humanoid: Enabling Zero-Shot Humanoid Learning from Ego-Exo Human Videos with Human-Aligned Embodiments
Xiaopeng Lin, Ruoqi Yang, Shijie Lian +14
Vision-language-action (VLA) models across robot embodiments require high-quality observation--action supervision to learn deployable action distributions, yet scaling such robot d…
Boosting Brain-inspired Path Integration Efficiency via Learning-based Replication of Continuous Attractor Neurodynamics
Zhangyu Ge, Xu He, Lingfei Mo +5
The brain's Path Integration (PI) mechanism offers substantial guidance and inspiration for Brain-Inspired Navigation (BIN). However, the PI capability constructed by the Continuou…
CyboRacket: A Perception-to-Action Framework for Humanoid Racket Sports
Peng Ren, Chuan Qi, Haoyang Ge +6
Dynamic ball-interaction tasks remain challenging for robots because they require tight perception-action coupling under limited reaction time. This challenge is especially pronoun…
Exploring the Potential of Spiking Neural Networks in UWB Channel Estimation
Youdong Zhang, Xu He, Xiaolin Meng
Although existing deep learning-based Ultra-Wide Band (UWB) channel estimation methods achieve high accuracy, their computational intensity clashes sharply with the resource constr…
Navigate in Demanding Missions: Integrating Human Intelligence and Brain-Inspired Intelligence
Xu He, Xiaolin Meng, Youdong Zhang +2
This perspective analyzes the intricate interplay among neuroscience, Brain-Inspired Intelligence (BII), and Brain-Inspired Navigation (BIN), revealing a current lack of cooperativ…
A Preliminary Exploration of the Differences and Conjunction of Traditional PNT and Brain-inspired PNT
Xu He, Xiaolin Meng, Wenxuan Yin +9
Developing universal Positioning, Navigation, and Timing (PNT) is our enduring goal. Today's complex environments demand PNT that is more resilient, energy-efficient and cognitivel…