43 citations · 80 across the 43 of their papers we have counts for
5 papers · 1 filter
Physics-Aware Object-Centric SE(3) Forecasting for Real-Time Proactive Dynamic Grasping
Yirui Zhou, Hongli Xu, Ying Zheng +2
Proactive dynamic grasping requires robots to predict the future state at which physical contact will occur, rather than reacting to the currently observed object pose. But what fu…
UniLAP: A Unified Latent Action Policy for Cross-Embodiment Manipulation
Lei Yao, Qiao Feng, Mutian Tong +3
Latent Action Models (LAMs) can capture manipulation priors from action-free videos, but discrete latents usually impose a granularity bottleneck, limiting their ability to represe…
Have You Seen It Clearly? Uncertainty-Guided Belief Refinement for Zero-Shot Object Navigation
Jingzhi Huang, Junkai Huang, Yuhang Peng +6
Zero-Shot Object Navigation (ZSON) requires an agent to locate target objects in unfamiliar environments without additional training for the test categories or environments. Recent…
RoboFlow4D: A Lightweight Flow World Model Toward Real-Time Flow-Guided Robotic Manipulation
Sixu Lin, Junliang Chen, Huaiyuan Xu +8
Planning and acting in 3D environments is a fundamental capability for robotic manipulation in the real world. Although prior work has explored predictive flow planners to guide 3D…
A Survey of Embodied Learning for Object-Centric Robotic Manipulation
Ying Zheng, Lei Yao, Yuejiao Su +5
Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is crucial for advancing next-generation intelligent robot…