2 citations · 2 across the 3 of their papers we have counts for
5 papers
SAMBAR: Selective Anchoring via Method of Multipliers for Balanced Knowledge Acquisition and Retention in Vision-Language-Action Models
Aayushi Shrivastava, Xunlan Zhou, Hongrui Zhao +2
Vision-Language-Action (VLA) models leverage large-scale pretraining to ultimately achieve generalist manipulation. Deployed VLA policies must support continual learning to acquire…
TACO: Temporal Consensus Optimization for Continual Neural Mapping
Xunlan Zhou, Hongrui Zhao, Negar Mehr
Neural implicit mapping has emerged as a powerful paradigm for robotic navigation and scene understanding. However, real-world robotic deployment requires continual adaptation to c…
UDON: Uncertainty-weighted Distributed Optimization for Multi-Robot Neural Implicit Mapping under Extreme Communication Constraints
Hongrui Zhao, Xunlan Zhou, Boris Ivanovic +1
Multi-robot mapping with neural implicit representations enables the compact reconstruction of complex environments. However, it demands robustness against communication challenges…
RAMEN: Real-time Asynchronous Multi-agent Neural Implicit Mapping
Hongrui Zhao, Boris Ivanovic, Negar Mehr
Multi-agent neural implicit mapping allows robots to collaboratively capture and reconstruct complex environments with high fidelity. However, existing approaches often rely on syn…
Distributed NeRF Learning for Collaborative Multi-Robot Perception
Hongrui Zhao, Boris Ivanovic, Negar Mehr
Effective environment perception is crucial for enabling downstream robotic applications. Individual robotic agents often face occlusion and limited visibility issues, whereas mult…